Uncommon Descent Serving The Intelligent Design Community

Does ID ASSUME “contra-causal free will” and “intelligence” (and so injects questionable “assumptions”)?

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Those who have been following recent exchanges at UD will recognise that the headlined summarises the current objection highlighted by objector RDFish, an AI advocate and researcher.

A bit of backdrop will be useful; a clip from Luke Muehlhauser in the blog/site “Common Sense Atheism” will aid us in understanding claim and context:

Contra-causal free will is the power to do something without yourself being fully caused to do it. This is what most people mean by “free will.” Contra-causal free will is distinct from what you might call caused free will, which is the type of free will compatibilists like Frankfurt and Dennett accept. Those with caused free will are able to do what they want. But this doesn’t mean that their actions are somehow free from causal determination. What you want, and therefore how you act, are totally determined by the causal chain of past events (neurons firing, atoms moving, etc.) Basically, if humans have only caused free will, then we are yet another species of animal. If humans have contra-causal free will, then we have a very special ability to transcend the causal chain to which the rest of nature is subject.

This obviously reflects the underlying view expressed by William Provine in his well known 1998 U Tenn Darwin Day keynote address:

Naturalistic evolution has clear consequences that Charles Darwin understood perfectly. 1) No gods worth having exist; 2) no life after death exists; 3) no ultimate foundation for ethics exists; 4) no ultimate meaning in life exists; and 5) human free will is nonexistent . . . .  The first 4 implications are so obvious to modern naturalistic evolutionists that I will spend little time defending them. Human free will, however, is another matter. Even evolutionists have trouble swallowing that implication. I will argue that humans are locally determined systems that make choices. They have, however, no free will . . .

However, it is hard to see how such views — while seemingly plausible in a day dominated by a priori evolutionary Materialism  and Scientism — can escape the stricture made by J B S Haldane at the turn of the 1930s:

“It seems to me immensely unlikely that mind is a mere by-product of matter. For if my mental processes are determined wholly by the motions of atoms in my brain I have no reason to suppose that my beliefs are true. They may be sound chemically, but that does not make them sound logically. And hence I have no reason for supposing my brain to be composed of atoms. In order to escape from this necessity of sawing away the branch on which I am sitting, so to speak, I am compelled to believe that mind is not wholly conditioned by matter.” [“When I am dead,” in Possible Worlds: And Other Essays [1927], Chatto and Windus: London, 1932, reprint, p.209.]

It is not helpful to saw off the branch on which we all must sit: in order to do science, as well as to think, reason and know we must be sufficiently free and responsible to be self-moved by insight into meanings and associated ground-consequent relationships not blindly programmed and controlled by mechanical necessity and/or chance, directly or indirectly. (It does not help, too, that the only empirically known, adequate cause of functionally specific, complex organisation and associated information — FSCO/I — is design.)

That is, we must never forget the GIGO-driven limitations of blindly mechanical cause-effect chains in computers:

mpu_model

. . . and in neural networks alike:

A neural network is essentially a weighted sum interconnected gate array, it is not an exception to the GIGO principle
A neural network is essentially a weighted sum interconnected gate array, it is not an exception to the GIGO principle

 

That is, it is quite evident that for cause, we can reasonably conclude that mechanical cause-effect chain based computation is categorically distinct from self-aware, self-moved responsible, rational contemplation.

[U/D Aug. 21:] Where, it will help to note on the classic structured programming structures, which — even if they incorporate a stochastic, chance based process — are not examples of freely made insight based decisions (save those of the programmer) but instead are cases of blind GIGO-limited computation based on programmed cause-effect sequences:

The classic programming structures, which are able to carry out any algorithmic procedure
The classic programming structures, which are able to carry out any algorithmic procedure

In turn, that points to intelligence, an observed and measurable phenomenon.

This, too, is being stridently dismissed as a dubious metaphysically driven assumption; so let us note from an Educational Psychology 101 site:

E. G. Boring, a well-known Harvard psychologist in the 1920′s defined intelligence as whatever intelligence tests measure. Wechsler, one of the most influential researchers in the area of intelligence defined it as the global capacity of a person to act purposefully, to think rationally, and to deal effectively with his/her environment. Notice that there is a conative aspect to this definition. [–> AmHD: co·na·tion (k-nshn) n. Psychology The aspect of mental processes or behavior directed toward action or change and including impulse, desire, volition, and striving.] Many modern psychology textbooks would accept a working definition of intelligence as the general ability to perform cognitive tasks. Others might favor a more behaviorally-oriented definition such as the capacity to learn from experience or the capacity to adapt to one’s environment. Sternberg has combined these two viewpoints into the following: Intelligence is the cognitive ability of an individual to learn from experience, to reason well, to remember important information, and to cope with the demands of daily living.

That is, we have an empirically founded, measurable concept. One that sees major application in science and daily life.

Where, further, design can then be understood as intelligently, purposefully directed contingency — that is, design (and its characteristic outputs such as FSCO/I) will be manifestations of intelligent action. So, it is unsurprising to see leading ID researcher William Dembski remarking:

We know from experience that intelligent agents build intricate machines that need all their parts to function [–> i.e. he is specifically discussing “irreducibly complex” objects, structures or processes for which there is a core group of parts all of which must be present and properly arranged for the entity to function (cf. here, here and here)], things like mousetraps and motors. And we know how they do it — by looking to a future goal and then purposefully assembling a set of parts until they’re a working whole. Intelligent agents, in fact, are the one and only type of thing we have ever seen doing this sort of thing from scratch. In other words, our common experience provides positive evidence of only one kind of cause able to assemble such machines. It’s not electricity. It’s not magnetism. It’s not natural selection working on random variation. It’s not any purely mindless process. It’s intelligence  . . . . 

When we attribute intelligent design to complex biological machines that need all of their parts to work, we’re doing what historical scientists do generally. Think of it as a three-step process: (1) locate a type of cause active in the present that routinely produces the thing in question; (2) make a thorough search to determine if it is the only known cause of this type of thing; and (3) if it is, offer it as the best explanation for the thing in question. 

[William Dembski and Jonathan Witt, Intelligent Design Uncensored: An Easy-to-Understand Guide to the Controversy, pp. 20-21, 53 (InterVarsity Press, 2010). HT, CL of ENV & DI.]

But, one may ask, why is it that FSCO/I and the like are observed as characteristic products of intelligence? Is that a mere matter of coincidence?

No.

Because of the blind, needle- in- haystack challenge (similar to that which grounds the second law of thermodynamics in its statistical form) faced by a solar system of 10^57 atoms or an observed cosmos of some 10^80 atoms, a 10^17 s blind chance and mechanical necessity driven search process faces empirically insuperable odds:

csi_defnSo, even the notion that our brains have been composed and programmed by a blind chance and necessity search process over 4 bn years of life on earth is dubious, once we see that FSCO/I beyond 500 – 1,000 bits faces a super-search challenge.

As for the notion that blind chance and mechanical necessity adequately account for the origin and diversification across major body plans, of cell based life, let the advocates of such adequately account — on observed evidence not a priori materialist impositions dressed up in lab coats — for something like protein synthesis (HT, VJT, onward thanks Wiki Media):

Protein Synthesis (HT: Wiki Media)
Protein Synthesis (HT: Wiki Media)

 

That is the context in which, on Sunday, I responded to RDF at 235 in the Do We Need a Context thread, as follows — only to be studiously ignored (as is his common tactic):

______________

>>I find it important to speak for record:

[RDF to SB:] . . . ID rests on the assumption of libertarianism, an unprovable metaphysical assumption

This characterisation of SB’s reasoning is false to the full set of options he puts on the table, but I leave answering that to SB.

What is more interesting is how you[–> RDF]  switch from an empirical inference to projection of a phil assumption you reject while ignoring something that is easily empirically and analytically verifiable. Which, strongly implicates that the root problem we face is ideological, driven and/or influenced by a priori evolutionary materialism [perhaps by the back door of methodological impositions] and/or its fellow travellers.

First, intelligence is a summary term for the underlying capacity of certain observed beings to emit characteristic behaviours, most notably to generate FSCO/I in its various forms.

For example as your posts in this thread demonstrate, you understand and express yourself in textual language in accord with well known specifications of written English. It can be shown that it is extremely implausible for blind chance and/or mechanical necessity to stumble upon zones of FSCO/I in the sea of possible configurations, once we pass 500 – 1,000 bits of complexity. Where as 3-d descriptions of complex functional objects can easily be reduced to strings [cf. AutoCAD etc], discussion on strings is WLOG.

At no point in years of discussion have you ever satisfactorily addressed this easily shown point. (Cf. here.)

Despite your skepticism, the above is sufficient to responsibly accept the significance of intelligence per a basic description and/or examples such as humans and dam-building beavers or even flint-knapping fire-using omelette-cooking chimps — there is reportedly at least one such. Then there was a certain bear who was a private in the Polish Army during WW II. Etc.

Being human is obviously neither necessary to nor sufficient for being intelligent.

Nor for that matter — given the significance of fine tuning of our observed cosmos from its origin, would it be wise to demand embodiment in a material form. Where also, it has been sufficiently pointed out — whether or no you are inclined to accept such — that a computational material substrate is not enough to account for insightful, self-aware rational contemplation.

We should not ideologically lock out possibilities.

Where also, the notion of “proof” — as opposed to warrant per inference to best explanation — is also material. In both science and serious worldviews discussion, IBE is more reasonable as a criterion of reasonableness than demonstrative proof on premises acceptable to all rational individuals etc. The projection of such a demand while one implicitly clings to a set of a prioris that are at least as subject to comparative difficulties challenge is selective hyperskepticism.

So, already we see a functional framework for identifying the attribute intelligence and using it as an empirically founded concept. One that is in fact a generally acknowledged commonplace. Let me again cite Wiki, via the UD WACs and Glossary as at 206 above . . . which of course you ignored:

Intelligence – Wikipedia aptly and succinctly defines: “capacities to reason, to plan, to solve problems, to think abstractly, to comprehend ideas, to use language, and to learn.” . . . .

Chance – undirected contingency. That is, events that come from a cluster of possible outcomes, but for which there is no decisive evidence that they are directed; especially where sampled or observed outcomes follow mathematical distributions tied to statistical models of randomness. (E.g. which side of a fair die is uppermost on tossing and tumbling then settling.)

Contingency – here, possible outcomes that (by contrast with those of necessity) may vary significantly from case to case under reasonably similar initial conditions. (E.g. which side of a die is uppermost, whether it has been loaded or not, upon tossing, tumbling and settling.). Contingent [as opposed to necessary] beings begin to exist (and so are caused), need not exist in all possible worlds, and may/do go out of existence.

Necessity — here, events that are triggered and controlled by mechanical forces that (together with initial conditions) reliably lead to given – sometimes simple (an unsupported heavy object falls) but also perhaps complicated — outcomes. (Newtonian dynamics is the classical model of such necessity.) In some cases, sensitive dependence on [or, “to”] initial conditions may leads to unpredictability of outcomes, due to cumulative amplification of the effects of noise or small, random/ accidental differences between initial and intervening conditions, or simply inevitable rounding errors in calculation. This is called “chaos.”

Design — purposefully directed contingency. That is, the intelligent, creative manipulation of possible outcomes (and usually of objects, forces, materials, processes and trends) towards goals. (E.g. 1: writing a meaningful sentence or a functional computer program. E.g. 2: loading of a die to produce biased, often advantageous, outcomes. E.g. 3: the creation of a complex object such as a statue, or a stone arrow-head, or a computer, or a pocket knife.) . . . .

Intelligent design [ID] – Dr William A Dembski, a leading design theorist, has defined ID as “the science that studies signs of intelligence.” That is, as we ourselves instantiate [thus exemplify as opposed to “exhaust”], intelligent designers act into the world, and create artifacts. When such agents act, there are certain characteristics that commonly appear, and that – per massive experience — reliably mark such artifacts. It it therefore a reasonable and useful scientific project to study such signs and identify how we may credibly reliably infer from empirical sign to the signified causal factor: purposefully directed contingency or intelligent design . . .

Indeed, on just this it is you who have a burden of warranting dismissal of the concept.

Where also, design can be summed up as intelligently directed contingency that evidently targets a goal, which may be functional, communicative etc. We easily see this from text strings in this thread and the PCs etc we are using to interact.

Again, empirically well founded.

So, the concept of intelligent design is a reasonable one, and FSCO/I as reliable sign thereof is also reasonable.

In that context the sort of rhetorical resorts now being championed by objectors actually indicate the strength of the design inference argument. Had it been empirically poorly founded, it would long since have been decisively undermined on those grounds. The resort instead to debating meanings of widely understood terms and the like is inadvertently revealing.

But also, this is clearly also a worldviews level issue.

So, I again highlight from Reppert (cf. here on) on why it is highly reasonable to point to a sharp distinction between ground-consequent rational inference and blindly mechanical cause effect chains involved in the operation of a computational substrate such as a brain and CNS are:

. . . let us suppose that brain state A, which is token identical to the thought that all men are mortal, and brain state B, which is token identical to the thought that Socrates is a man, together cause the belief that Socrates is mortal. It isn’t enough for rational inference that these events be those beliefs, it is also necessary that the causal transaction be in virtue of the content of those thoughts . . . [[But] if naturalism is true, then the propositional content is irrelevant to the causal transaction that produces the conclusion, and [[so] we do not have a case of rational inference. In rational inference, as Lewis puts it, one thought causes another thought not by being, but by being seen to be, the ground for it. But causal transactions in the brain occur in virtue of the brain’s being in a particular type of state that is relevant to physical causal transactions.

Unless we are sufficiently intelligent to understand and infer based on meanings, and unless we are also free enough to follow rational implications or inferences rather than simply carry out GIGO-limited computational cause-effect chains, rationality itself collapses. So, any system of thought that undermines rationality through computational reductionism, or through dismissing responsible rational freedom is delusional and self referentially incoherent.

You may wish to dismissively label responsible freedom as “contra-causal free will,” or the like and dismiss such as “unprovable.” That is of no effective consequence to the fact of responsible rational freedom that is not plausibly explained on blindly mechanical and/or stochastic computation. Which last is a condition of even participating in a real discussion — I dare to say, a meeting of minds.

That is, we again see the fallacy of trying to get North by heading due West.

It is time to reform and renew our thinking again in our civilisation, given the patent self-refutation of the ever so dominant evolutionary materialism. As Haldane pointed out so long ago now:

“It seems to me immensely unlikely that mind is a mere by-product of matter. For if my mental processes are determined wholly by the motions of atoms in my brain I have no reason to suppose that my beliefs are true. They may be sound chemically, but that does not make them sound logically. And hence I have no reason for supposing my brain to be composed of atoms. In order to escape from this necessity of sawing away the branch on which I am sitting, so to speak, I am compelled to believe that mind is not wholly conditioned by matter.” [[“When I am dead,” in Possible Worlds: And Other Essays [1927], Chatto and Windus: London, 1932, reprint, p.209.]

It is time for fresh, sound thinking.  >>

______________

I actually think this is a good sign. In the 1980’s and 90’s as Marxism gradually crumbled, many Marxists redoubled their efforts, until the ship went down under them. So, the trend that objections to the design inference are now being commonly rooted in hyperskeptically challenging common sense, empirically warranted concepts such as design, intelligence and functionally specific quantifiably complex organisation and associated information all point to the gradual crumbling of the objector case on the actual empirical and analytical merits. END

Comments
please go on Pop.Upright BiPed
August 28, 2014
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I wrote:
So, where we seem to disagree is what constitutes a good explanation, which I’ll expand on in a future comment.
As indicated in my handle, I'm a Popperian, in that I think conjecture and criticism, in one form or another, is the best explanation for the universal growth of knowledge. Criticism takes the form of taking an idea seriously, as if it were true in reality, and that all observations should conform to it. I'm also an optimist in the sense that unless something is prohibited by the laws of physics, the only thing that prevents us from achieving it is knowing how. This includes, say, rebuilding amputated or damaged limbs. As human designers, once we create this knowledge we it will no longer be necessary to design prosthetics. It's in this sense that the kinds of things we design is reflected in our limitations, or lack there off. Sure, as intelligent agents that make choices, we cannot rule out the fact that we might not choose not to actually apply the knowledge of how to regrow limbs, despite knowing how. For example, we might continue to use prosthetics not merely to give us back our original capacity but to enhance it or as a sort of art form. And this would be reflected in designs with capacity or esthetics beyond our original limbs. But to basically appeal to the fact there could be "good reason we cannot understand" for us not to use it is an appeal to merely a logical possibility, which is a bad explanation. Via it's own claims, we can deduce that ID's designer would have possessed the knowledge of how to build limbs since ID claims it was the source of the knowledge of how those same limbs are build by offspring during reproduction. And since ID claims the designer is supposedly a person, that knowledge would have been explanatory in nature. Having significantly more reach, this explanatory knowledge could be applied beyond just initially building limbs - it could also applied to regrow limbs in organisms after they mature. And this would solve an substantial problem that all organisms can and do face. Nor is this prohibited by the laws of physics because at least one organism, a particular variation of salamander, does just that - skin, nerves bone and all. So, If we attempt to take ID seriously, as explanation for biological features, one would need to assume is ID's designer possessed the explanatory knowledge of how to regrow grow limbs, but decided no use it's reach "for some good reason we cannot understand" to apply it in the cast of the vast majority of all mature organisms, which is merely a logical possibility. The only response ID can present it "that's just what the designer must have wanted", which is an explanation-less theory. This is why ID's designer is a bad explanation. Biological Darwinism, on the other hand, explains this in that the knowledge of how to build limbs was create via variation that is *random to any specific problem to solve* and selection. The result was non-explanatory knowledge in the form of a useful rule of thumb with limited reach. As such, for great majority of organisms it is only actually applied for development, despite the potential of much greater utility in solving real problems those organism actually face.Popperian
August 28, 2014
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Of the latter possible group, there are two types: transformations that occur spontaneously, such as the formation of stars from gravity, hydrogen and other stellar materials and transformations that only occur when the requisite knowledge is present, such as the transformation of air, water. etc., into plants, trees, etc. Following me so far? Is there are type of transformation I haven’t covered?
Apparently, we do not diverge on groupings at this point, so I'll continue. - - - - Biological features of organisms represent adaptations of matter, such as air, water, etc. For example, a giraffe starts out as a fertilized egg that "builds itself" by adapting local resources. As indicated above, these adaptations represent transformations that occur when the requisite knowledge of how to perform them are present. This knowledge takes the form of a set of instructions indicating what transformations the cell should perform, which will result in an imperfect copy of that organism. This is opposed to some other set of transformations, which would results in some other organism, an unviable organism or no organism at all. In regards to existing features, this knowledge does not get augmented by some other external source. (An exception to this would be cell to cell signaling in multicellular organisms, but this too is based on internal knowledge in each cell.) To use an analogy, cells do not contact a biological equivalent of an external Microsoft Update server to obtain the knowledge of which transformation will result in existing adaptations. Everyone still with me?Popperian
August 28, 2014
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Popperian: I just read your 180 and 182. At this point, I am not sure of how much we agree or disagree. Maybe if you clarify what you think in order, I will understand. You quote the arguments that: "merely feeding a computer existing information, regardless of how much you feed it, does not result in a computer popping out a new explanation. However, this is essentially an argument against induction. Yet, induction is defended when it comes to presenting an inductive argument for intelligent design." and consider it as an argument against induction (which from now on I will call inferential knowledge, because I like that more). Well, I can agree with the quoted argument, in the sense that a computing system will never generate new dFSCI, IOWs new complex information about a new function, not specified in any way, neither directly nor indirectly, in the original system or input. But that is not an argument against inferential knowledge. Indeed, a computer is an example of purely deductive knowledge. It makes necessary deductions from its original state and the inputs it receives. Being not conscious, it cannot make new inferences. Human cosnciosness is different. It represents experiences subjectively, and subjectively reacts to them according to its innate powers and principles. That's why human consciousness is capable of inferential knowledge, where the conclusions are not necessarily implied by the facts (but are certainly suggested by them to a conscious cognizer). That's why human consciousness is capable of generating new dFSCI. Consciousness is creative, it generates cognition from facts. It is called inferential knowledge if it is about empirical facts. It is just called intuition if it is about abstract inner principles. Non conscious systems know nothing of cognition. They can simply elaborate data in the way they were programmed to do. They never understand anything. They never choose. They never feel, they have no purpose, they experience no pain or joy. That's all the difference. Strangely, a purely deductive process can be "frozen" into a non conscious machine. A true original inference cannot.gpuccio
August 28, 2014
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Popperian: Maybe if you went on with your argument, instead of just repeating the same "concepts", we would be more interested. Maybe repetition is not a sensory experience, but it is boring just the same.gpuccio
August 28, 2014
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KF:
I have already pointed out that you have been using a long since outdated conception of inductive reasoning.
I am? Then why do we see this outdated conception used in arguments such as... UB:
This goes back to the original question I asked you. The “explanatory content” of ID theory includes the intractable observation that human design and biological design share the exact same physical conditions by which those designs are imparted into physical form. Only human design and biological design can be demonstrated (at the physical/material level) to exhibit these unique qualities. They are found no where else in the cosmos. You are asking ID theorist to ignore these demonstrable facts, but you are not giving the reasons why such demonstrable facts should be ignored. At the very least, you could tell us why you ignore them.
Other theories are being rejected because they are not "observed". However, What counts as repition is not a sensory experience. Theory aways comes first.Popperian
August 28, 2014
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gpuccio, I’m waiting to hear if UB actually has an objection to the groupings I’ve presented.
Oh nooooooo. I was just asking about details. Please don't let me hold you up. By all means, make your case. I'll wait 'til you are through, and then ask how knowledge is present in a transformation that cannot occur without it being present.Upright BiPed
August 28, 2014
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G: (otherwise, how could we decide which is the “best” explanation, if not by our inner cognitive judgement) Here's what I find confusing. An argument on another UD thread is that, merely feeding a computer existing information, regardless of how much you feed it, does not result in a computer popping out a new explanation. However, this is essentially an argument against induction. Yet, induction is defended when it comes to presenting an inductive argument for intelligent design. From this article on General Artificial Intelligence (AIG)....
The upshot is that, unlike any functionality that has ever been programmed to date, this one can be achieved neither by a specification nor a test of the outputs. What is needed is nothing less than a breakthrough in philosophy, a new epistemological theory that explains how brains create explanatory knowledge and hence defines, in principle, without ever running them as programs, which algorithms possess that functionality and which do not. Such a theory is beyond present-day knowledge. What we do know about epistemology implies that any approach not directed towards that philosophical breakthrough must be futile. Unfortunately, what we know about epistemology is contained largely in the work of the philosopher Karl Popper and is almost universally underrated and misunderstood (even — or perhaps especially — by philosophers). For example, it is still taken for granted by almost every authority that knowledge consists of justified, true beliefs and that, therefore, an AGI’s thinking must include some process during which it justifies some of its theories as true, or probable, while rejecting others as false or improbable. But an AGI programmer needs to know where the theories come from in the first place. The prevailing misconception is that by assuming that ‘the future will be like the past’, it can ‘derive’ (or ‘extrapolate’ or ‘generalise’) theories from repeated experiences by an alleged process called ‘induction’. But that is impossible. I myself remember, for example, observing on thousands of consecutive occasions that on calendars the first two digits of the year were ‘19’. I never observed a single exception until, one day, they started being ‘20’. Not only was I not surprised, I fully expected that there would be an interval of 17,000 years until the next such ‘19’, a period that neither I nor any other human being had previously experienced even once. How could I have ‘extrapolated’ that there would be such a sharp departure from an unbroken pattern of experiences, and that a never-yet-observed process (the 17,000-year interval) would follow? Because it is simply not true that knowledge comes from extrapolating repeated observations. Nor is it true that ‘the future is like the past’, in any sense that one could detect in advance without already knowing the explanation. The future is actually unlike the past in most ways. Of course, given the explanation, those drastic ‘changes’ in the earlier pattern of 19s are straightforwardly understood as being due to an invariant underlying pattern or law. But the explanation always comes first. Without that, any continuation of any sequence constitutes ‘the same thing happening again’ under some explanation. [...] In regard to how the AGI problem is perceived, this has the catastrophic effect of simultaneously framing it as the ‘problem of induction’, and making that problem look easy, because it casts thinking as a process of predicting that future patterns of sensory experience will be like past ones. That looks like extrapolation — which computers already do all the time (once they are given a theory of what causes the data). But in reality, only a tiny component of thinking is about prediction at all, let alone prediction of our sensory experiences. We think about the world: not just the physical world but also worlds of abstractions such as right and wrong, beauty and ugliness, the infinite and the infinitesimal, causation, fiction, fears, and aspirations — and about thinking itself. Now, the truth is that knowledge consists of conjectured explanations — guesses about what really is (or really should be, or might be) out there in all those worlds. Even in the hard sciences, these guesses have no foundations and don’t need justification. Why? Because genuine knowledge, though by definition it does contain truth, almost always contains error as well. So it is not ‘true’ in the sense studied in mathematics and logic. Thinking consists of criticising and correcting partially true guesses with the intention of locating and eliminating the errors and misconceptions in them, not generating or justifying extrapolations from sense data. And therefore, attempts to work towards creating an AGI that would do the latter are just as doomed as an attempt to bring life to Mars by praying for a Creation event to happen there..
Popperian
August 28, 2014
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P: I have already pointed out that you have been using a long since outdated conception of inductive reasoning. I suggest you take time to read the already linked and cited SEP article in 155 supra . . . which corrects the outdated cite you used further up; if you don't want to believe me. Inductive reasoning is the approach that seeks to provide substantial support to conclusions based on evidence (often per observations). It is far more than analogies and generalisations. And, abductive inference to best explanations is a major facet of inductive reasoning as applied to science and many fields of serious praxis. KFkairosfocus
August 28, 2014
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G:
While I want to state again that i don’t believe that our explanations are completely determined by facts, and I can agree that inner principles which are applied to facts have an important role, still I find that you are really obsessed with denying the importance of facts.
But, I think you'd have to admit your theory that I'm "really obsessed with denying the importance of facts." is not a sensory experience. It's a theory you conjectured to explain my comments. Before you could reach a wrong conclusion, you must have conjectured a false explanation, such as that I deny the importance of facts. But that theory is not out there for you to observe. In fact, I've continually made a distinction that distance myself from that theory, which appear to have gone unnoticed or ignored. See [175]. P:
We never speak of the existence of dinosaurs, millions of years ago, as an interpretation of our best theories of fossils. Rather, we say that dinosaurs are *the* explanation for fossils. Nor is the theory primarily about fossils, but about dinosaurs, in that they are assumed to actually exist as part of the explanation.
G:
All your reasoning about dinosaurs is deeply flawed. If there were no fossils, we would have no idea that dinosaurs existed.
Again, please note the contrast between the following ideas....
We start out with a problem, conjecture an explanatory theory about how the world works, in reality, that we hope will solve it, then criticize that theory and discard errors we might find. In the case of science, criticism takes the form of empirical observations. Then, the process starts again when new observations indicate there is a problem in one of our ideas. This is in contrast to the idea that we start out with observations, generalize those observations to form a theory, then perform more observations to prove that theory is true or probably true.
Both are compatible with the same observations, but suggest something significantly different is happening, in reality. (As are the all the "explanations" for the observations of fossils I listed) So, to translate, if there was no problem to solve (the existence of fossils) we would not have conjectured a theory to explain them. I don't see a problem with this at all.
The reason why we prefer to believe that dinosaurs really existed, and not, for example, that “designer chose to create the world we observe 30 second ago”, is not mysterious at all: the simple reason is that the first hypothesis explains better all the available facts (not only fossils of dinosaurs), while the second one (with all respect for all possible extreme YECs) explains practically none.
First, I fail to see how you're actually disagreeing with me or with the following quote...
“All the ‘facts’ Darwin used as evidence for his theory of evolution were known before he used them … What Darwin contributed was a profoundly radical way of rearranging these materials” (p38). - Hughes, 1990
So, where we seem to disagree is what constitutes a good explanation, which I'll expand on in a future comment. Second, we discard all of the other "explanations" because they represent general purpose strategies that could be used to deny absolutely anything, not just the existence of dinosaurs.Popperian
August 28, 2014
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Popperian: OK, while we wait, just a comment. While I want to state again that i don't believe that our explanations are completely determined by facts, and I can agree that inner principles which are applied to facts have an important role, still I find that you are really obsessed with denying the importance of facts. All your reasoning about dinosaurs is deeply flawed. If there were no fossils, we would have no idea that dinosaurs existed. Or are you suggested that we dreamed of dinosaurs first, and then found the fossils? I must miss something in your reasoning. The reason why we prefer to believe that dinosaurs really existed, and not, for example, that "designer chose to create the world we observe 30 second ago", is not mysterious at all: the simple reason is that the first hypothesis explains better all the available facts (not only fossils of dinosaurs), while the second one (with all respect for all possible extreme YECs) explains practically none. So, facts are important, and theories are best explanation for facts in the end, even if inner principles and faculties are essential to build them and to evaluate them (otherwise, how could we decide which is the "best" explanation, if not by our inner cognitive judgement)?gpuccio
August 28, 2014
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gpuccio, I'm waiting to hear if UB actually has an objection to the groupings I've presented.Popperian
August 28, 2014
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KF: It seems a lot like the real debate on evidence is effectively over and design has won, but that is not going to be acknowledged given the zero concession policy. I'd suggest that ID denies progress has occurred in the philosophy of science. Namely, science has progressed to the extent that it isn't primarily about stuff you can observe. For example, are dinosaurs merely an interpretation of our best explanation of fossils? Or are they *the* explanation for fossils? We never speak of the existence of dinosaurs, millions of years ago, as an interpretation of our best theories of fossils. Rather, we say that dinosaurs are *the* explanation for fossils. Nor is the theory primarily about fossils, but about dinosaurs, in that they are assumed to actually exist as part of the explanation. And we do so despite the fact that there are an infinite number of rival interpretations of the same data that make all the same predictions, yet say the dinosaurs were not there, millions of years ago, in reality. For example, there is the rival interpretation that fossils only come into existence when they are consciously observed. Therefore, fossils are no older than human beings. As such, they are not evidence of dinosaurs, but evidence of acts of those particular observations. Another interpretation would be that dinosaurs are such weird animals that conventional logic simply doesn't apply to them. One could suggests It's meaningless to ask if dinosaurs were real or just a useful fiction to explain fossils. (Which is an example of instrumentalism as found in the Copenhagen interpretation of Quantum Mechanics.) Not to mention the rival interpretation that designer chose to create the world we observe 30 second ago. Therefore, dinosaurs couldn't be the explanation for fossils, because they didn't exist then. None of these other interpretations are empirically distinguishable from the rational theory of dinosaurs, in that their existence explains fossils. So, I would agree that the real debate isn't about evidence, it's about what constitutes a good explanation for evidence. A quote the Poverty of Empiricism PDF...
“All the ‘facts’ Darwin used as evidence for his theory of evolution were known before he used them … What Darwin contributed was a profoundly radical way of rearranging these materials” (p38). - Hughes, 1990
Popperian
August 28, 2014
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Popperian: Could you please go on with the reasoning you started in #161? I am curious. I am building a lot of theories about your views, but perhaps I need some facts. :)gpuccio
August 28, 2014
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KF: First of all, as the history of science shows [hence cases such as how Newton's account of gravitation arose], theory does not come first, a context shaped by worldviews, by the logic of induction and learning from observed regularities does. Trying to rewrite and expand the meaning of theory to in effect encompass everything in the end robs it of meaning. Again, suggesting someone is confused about how knowledge grows is not the same as suggesting knowledge doesn't grow.
“Inductive inference can generate empirical generalizations, but not explanatory theories … Newton’s theory of universal gravitation cannot be inductively inferred from the data on planetary motion and even not from Kepler’s laws …inductive generalization cannot lead from the data on gas behaviour, or from the empirical gas laws, to the kinetic theory of gases” (p66).
Again, you're ignoring distinctions I've made, to present what appears to be a kind of false dilemma.
We start out with a problem, conjecture an explanatory theory about how the world works, in reality, that we hope will solve it, then criticize that theory and discard errors we might find. In the case of science, criticism takes the form of empirical observations. Then, the process starts again when new observations indicate there is a problem in one of our ideas. This is in contrast to the idea that we start out with observations, generalize those observations to form a theory, then perform more observations to prove that theory is true or probably true.
In the history of science, empiricism was an improvement in that it helped promote the importance of empirical observations in science. However, it got the role those observations play backwards. Theories are tested by observations, not derived from them. The point of the referenced article is that empirical methods impede science because it assumes that only generalized explanation are admissible.
Proposition 2, which asserts that empirical methods are inappropriate for creating explanatory theories, follows from the fact that empirical research involves inductive reasoning, whereas theoretical research involves deductive reasoning. Empirical methods induce generalizations from facts. Theoretical methods then explain the empirical generalizations by generating deductive arguments to the generalizations from first causes, which are usually unobservable. So inductive methods are useless for devising deductive explanatory theories.
Yet, a key objection to evolutionary theory is that there are no other observed causes of knowledge. So, the distinction I'm making is highly relevant to that objection. Furthermore, as I pointed out, what is or is not considered repetition is not a sensory experience. Rather it's based on theory. So, we're arguing past each other.Popperian
August 28, 2014
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At this point, I'm attempting to establish if there is agreement on groupings within conceivable transformations. So, I'd ask, is your agreement on the above groupings, or lack there of, dependent on a specific answer to your question? For example, is there the potential for a fewer or additional types of possible (not prohibited by the laws of physics) transformations based on potential answers to your question? If not, we can address your question either after going forward or as a separate criticism.Popperian
August 28, 2014
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AKA = also known asJoe
August 28, 2014
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KF: Design has definitely won! Everybody knows, but nobody will say it. I am proud of saying it aloud with you! :)gpuccio
August 28, 2014
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GP: It seems a lot like the real debate on evidence is effectively over and design has won, but that is not going to be acknowledged given the zero concession policy. KFkairosfocus
August 28, 2014
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AKA?kairosfocus
August 28, 2014
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KF, our friend Popperian here (aka Critical Rationalist) certain fits the bill.Upright BiPed
August 28, 2014
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KF: You are obviously right. 90% of the serious debate I have had in the last years has been about general principles and worldviews. It has become really rare to be engaged by our interlocutors in concrete biological discussion, for example, and in objective analysis of real data. I understand that: the neo-darwinian model is so abstract and empirically unsupported that it is really difficult to defend it on its own (never observed) merits. It is not a case that most interesting discussions about biology have been with defenders of more neutral variation dependent positions (for example, with wd400). Neutral theory is much more fact based. Unfortunately (for its supporters) it cannot explain functional information at all, so I would say that it is a "neutral" theory for ID. :)gpuccio
August 28, 2014
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PS: All of this becomes important for the main discussion, as there is a problem with the underlying process of reasoning. I find it interesting that over the past few years it has become increasingly clear that a great many design objectors reject first principles of right reason, locking out the possibility of warrant and correction based on acknowledging the authority of reason. Now, we are seeing that through influences from phil of sci, some also challenge and may misunderstand inductive reasoning. In particular, the role of inference to best explanation in scientific inference is often misunderstood or dismissed. All of this goes to show root problems lurking in the debates over the design inference. Which, of course explicitly uses inference to best explanation on tested, reliable sign backed up by analysis of the challenge of blind sampling influenced by chance. And, it goes as well to the issue as to what evidence and reasoning would permit one to accept that responsible freedom is a first premise of thought and serious inquiry. Especially, when one issue on the table is ideological clinging in the face of evident absurdity.kairosfocus
August 28, 2014
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P: First of all, as the history of science shows [hence cases such as how Newton's account of gravitation arose], theory does not come first, a context shaped by worldviews, by the logic of induction and learning from observed regularities does. Trying to rewrite and expand the meaning of theory to in effect encompass everything in the end robs it of meaning. Also, above per Avi Sion, I have pointed out why a pattern of thought based on provisional universality of patterns, joined to inference to best current explanation works. In that context it is quite clear to me that Popper's corroboration is a case of trying to have one's cake and eat it too. Especially, when one understands that science is not just an ivory tower theorising construct. We seek to describe accurately, explain adequately, predict reliably then influence the course of events. In cases where engineering and medicine are involved, or forensics, with a lot on the line. Understanding that we see an orderly world and by suitable sampling through observation and experiment seek to at least provisionally intelligibly characterise that order and use the insights to do good, is a key balance to the over-emphasis that tends to promote skepticism to intellectual virtue. Which, it is not. Critical awareness of limitations and recognised provisionality of findings -- long since on the table, as Locke and Newton underscored -- are one thing, taking the step of reasonable faith to trust the reliability of adequately tested findings and explanation in that light is another. But, taking up a have your cake and eat it attitude that tries to sweep away that base even while bringing it back in the back door as the unfalsified to date "corroborated" which is somehow to be taken seriously while no we can only certify it as not yet overturned, is like an excessively lawyerly disclaimer. Where also, inference to best explanation as brought out in summary, is on the table as a major context of induction as currently understood. All I will say further to this, is that if someone does not instantly recognise and understand abductive, provisional inference to best current explanation as summarised, s/he is not in a good position to seriously discuss the logic of induction and its applicability to the praxis of science. Indeed, it can be argued that standing behind analogies and generalisations on samples of reasonable size, is an abductive inference. Where, abductive explanations take in models and theories as generally understood. That we form a first theory in light of available intellectual resources then incrementally seek improved explanatory power among competing factually adequate and coherent explanations is a commonplace. As is the fact that we set up the theoretical or modelling apparatus and test it against current bodies of observatins and predictive power. Where also, there is room enough for Lakatos' point on anomalies that challenge a theory -- or, better, a research programme with its theories with their core commitments and auxiliary protective belts -- and may cumulatively render it in serious trouble (degenerative) in that approach. In some cases there is a contest of schools of thought for a long time without resolution. As happened with Economics across the past century. KFkairosfocus
August 28, 2014
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Popperian: I can completely accept your definitions in 161. Please, go on.gpuccio
August 27, 2014
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Pop,
I haven’t address the origin of that knowledge
I'm not asking you about it's origin. If knowledge is present during a transformation (that doesn't occur spontaneously, but instead requires the presence of that knowledge in order to come about), then one might presume it's present in a physical state of some type. What is that physical state and how does that cause the transformation?Upright BiPed
August 27, 2014
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UB: A person that says we don’t give rise to conjecture about reality from our experience of reality has made an argument not worth responding to. So, your strategy is to continue to ignore the distinction I've made? Namely, that the contents of theories do not come from experience. For example, are you suggesting the criticism that we get out more than we put in isn't worth responding to? Are the quotes in [147] not worthy either? P: can someone indicate at what point they disagree with the following? P: Of the latter possible group, there are two types: transformations that occur spontaneously, such as the formation of stars from gravity, hydrogen and other stellar materials and transformations that only occur when the requisite knowledge is present, such as the transformation of air, water. etc., into plants, trees, etc. P: Following me so far? UB: How is this knowledge present at these transformations? Again, I'm trying to figure out at what point diverge. I haven't address the origin of that knowledge yet, which is why I asked if everyone was following me, so far. I'll take your response as a "No." unless you indicate otherwise. P: Is there are type of transformation I haven’t covered? UB: If we take into account your opportunistic critique, we can’t answer that question until we’ve checked the entire cosmos. Again, my critique is that the contents of theories are not derived from observations. They are unseen explanations for seen phenomena. So, what I'm asking is, does anyone have any other "theories" about transformations that I haven't covered other than the two presented. Since UB doesn't seem to have actually presented any objections, does anyone else have any to what I've presented so far, before I continue?Popperian
August 27, 2014
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Pop, A person that says we don’t give rise to conjecture about reality from our experience of reality has made an argument not worth responding to. However, there is this:
transformations that only occur when the requisite knowledge is present
How is this knowledge present at these transformations?
Is there are type of transformation I haven’t covered?
If we take into account your opportunistic critique, we can’t answer that question until we’ve checked the entire cosmos.Upright BiPed
August 27, 2014
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In the interest in moving forward, can someone indicate at what point they disagree with the following? Consider all of the conceivable transformations of matter. In this group, there are transformation that are prohibited by the laws of physics, such as traveling faster than the speed of light, and those that are possible. Of the latter possible group, there are two types: transformations that occur spontaneously, such as the formation of stars from gravity, hydrogen and other stellar materials and transformations that only occur when the requisite knowledge is present, such as the transformation of air, water. etc., into plants, trees, etc. Following me so far? Is there are type of transformation I haven't covered?Popperian
August 27, 2014
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UB: Only human design and biological design can be demonstrated (at the physical/material level) to exhibit these unique qualities. They are found no where else in the cosmos. First, it's unclear how you're "looked" everywhere else in the cosmos to determine they were not "found". Second, please see my comment to KF above. Specifically... For example, theories of optics and geometry tell us not to experience seeing the sun rise on a cloudy day, even if a sunrise is really happening in the unobserved world behind the clouds. It’s only though theory that not observing the sun in those cases does not constitute an instance of the sun not rising. And the same can be said if we observe the sun rising in a mirror or on video. It’s those same theories of optics and geometry that tells us we’re not experiencing the sun rise twice. It's theory that tells us not to experience seeing organisms evolve on a scale that you just implied was expected. Again, what qualifies as repetition, or lack there of isn't a sensory experience. UB: You are asking ID theorist to ignore these demonstrable facts, but you are not giving the reasons why such demonstrable facts should be ignored. At the very least, you could tell us why you ignore them. Again, I'm not suggesting you should ignore those facts. Nor am I ignoring them. Rather, I'm pointing out that [a] we cannot induce theories from facts and [b] we don't even know where to look for facts without first staring with a theory. So, the facts you're considering, or the lack there of, is based on a theory, not merely observations. Nor does ID theory actually solve the problem it purports to solve. It merely pushes the problem up a level without improving it.Popperian
August 27, 2014
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