Category Archives: Aklin Yapisi

10.1 Parameter Adaptation

Posted on 18 Nisan 2011 by Belgeci

   Consider an algorithm y=A(f,x) which takes in a guess x at the solution to a certain problem fand outputs a (hopefully better) guess y at the solution. Assume that it is easy to compute andcompare the quality Q(x) of … Continue reading →

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10.2 The Motor Control Hierarchy

Posted on 18 Nisan 2011 by Belgeci

    I propose a motor control hierarchy which is closely analogous to the perceptual hierarchy, butworks in the opposite direction. In the motor control hierarchy, the lower levels deal directlywith muscle movements, with bodily functions; whereas the higher levels deal … Continue reading →

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10.3 A Neural-Darwinist Perceptual-Motor Hierarchy

Posted on 18 Nisan 2011 by Belgeci

    In Chapter 6 we used Edelman’s theory of Neural Darwinism to explore the nature of neuralanalogy. However, we did not suggest how the "lower-to-intermediate-level" details discussedthere might fit into a theory of higher-level brain function. It is possible to … Continue reading →

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11.0 Toward A Quantum Theory of Consciousness

Posted on 18 Nisan 2011 by Belgeci

   For sixty years physicists have struggled with the paradox of quantum measurement.However, despite a number of theoretical advances, rather little progress has been made towardresolution of the basic dilemma. The problem is one of physics versus phenomenology.According to quantum … Continue reading →

Posted in Chapter 11: Consciousness and Computation | Leave a comment

11.1 Implications of the Quantum Theory of Consciousness

Posted on 18 Nisan 2011 by Belgeci

    The measurement paradox is not the only philosophically troublesome aspects of quantumphysics. Bell’s Theorem (1987), with its implication of instantaneous communication betweendistant events, is equally unsettling. The simplest example of this is the Einstein-Podolsky-Rosen(EPR) thought experiment. Two electrons, initially … Continue reading →

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11.2 Consciousness and Emotion

Posted on 18 Nisan 2011 by Belgeci

   One often hears comments to the effect that "even if a computer could somehow think, it couldnever feel." And Dreyfus (1978), among others, has argued that this imposes strict limitations onthe potential power of computer thought. After all, what … Continue reading →

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12.0 The Structure of Intelligence

Posted on 18 Nisan 2011 by Belgeci

The ideas of the previous chapters fit together into a coherent, symbiotic unit: the masternetwork. The master network is neither a network of physical entities nor a simple, cleveralgorithm. It is rather a vast, self-organizing network of self-organizing programs, continuallyupdating … Continue reading →

Posted in Chapter 12: The Master Network | Leave a comment

12.1 Design for a Thinking Machine

Posted on 18 Nisan 2011 by Belgeci

   A theory of mind and a theory of brain are two very different things. I have sketched anabstract Platonic structure, the master network, and claimed that the structure of every intelligententity must contain a component approximating this structure. But … Continue reading →

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4.0 The Triarchic Theory Of Intelligence

Posted on 18 Nisan 2011 by Belgeci

  Though there is a vast psychological literature on intelligence, it contains surprisingly fewinsights into the foundational questions which interest us here: what is intelligence, and how can it, practically or theoretically, be quantified? The problem is that, as Robert … Continue reading →

Posted in Baslik 4: Akil ve Zeka | Leave a comment

Intelligence as Flexible Optimization

Posted on 18 Nisan 2011 by Belgeci

  Having just reviewed certain aspects of the psychological perspective on intelligence, it isworth observing how different the engineering perspective is. As one might expect, engineershave a much simpler and much more practical definition of intelligence.   Control theory deals with … Continue reading →

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Unpredictability

Posted on 18 Nisan 2011 by Belgeci

Intuitively, a system is unpredictable if a lot of information about its past state tends to yield only a little information about its future state. There are many different ways to make this precise. Here we shall consider four different … Continue reading →

Posted in Baslik 4: Akil ve Zeka | Leave a comment

Intelligence as Flexible Optimization, Revisited

Posted on 18 Nisan 2011 by Belgeci

    As above, let us consider dynamical systems on spaces SxE, where S is the state space of asystem and E is the set of states of its environment. Such dynamical systems representcoevolving systems and environments.   We shall say that … Continue reading →

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Mind and Behavior

Posted on 18 Nisan 2011 by Belgeci

   Let S be any system, as above. Let it and ot denote the input to and output of S at time t, respectively. That is, ot is that part of St which, if it were changed, could in certain … Continue reading →

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Justifying Induction

Posted on 18 Nisan 2011 by Belgeci

  After reading a certain amount of philosophy, it is easy to become confused as to exactly whatthe problem of induction is. For our purposes, however, the problem of induction is very simpleand straightforward. Why is it justified for a … Continue reading →

Posted in Baslik 5: Induksiyon | Leave a comment

The Tendency to Take Habits

Posted on 18 Nisan 2011 by Belgeci

   The American philosopher Charles S. Peirce founded a vast philosophical system on theprinciple of "the tendency to take habits." By this he meant, roughly, the following:Peirce’s Principle: Unless restrained by the extension of another habit, a habit will tend … Continue reading →

Posted in Baslik 5: Induksiyon | Leave a comment

Toward A General Induction Algorithm

Posted on 18 Nisan 2011 by Belgeci

 The strengthened Peirce’s principle is only a beginning. It is a basic philosophical assumptionwhich ensures the possibility of intelligence through pattern recognition. All the standardmathematical methods for predicting the future are based on probability theory. In this section I will … Continue reading →

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Induction, Probability, and Intelligence

Posted on 18 Nisan 2011 by Belgeci

    In conclusion, let us now return to the question of intelligence. Assuming that the world isunpredictable and yet possesses the tendency to take habits to a significant degree, let us ask:how should a system act in order to approximately … Continue reading →

Posted in Baslik 5: Induksiyon | Leave a comment

6.0 The Structure-Mapping Theory of Analogy

Posted on 18 Nisan 2011 by Belgeci

   Induction, as we have analyzed it, requires a store of patterns on which to operate. We havenot said how these patterns are to be obtained. Any general global optimization algorithm couldbe applied to the problem of recognizing patterns in … Continue reading →

Posted in Baslik 6: Analoji | Leave a comment

6.1 A Typology of Analogy

Posted on 18 Nisan 2011 by Belgeci

    Analogy is far more powerful than transitive reasoning; nonetheless, according to the presentanalysis it is nothing more than a subtler way of manipulating the pattern distance. I willintroduce three forms of analogical reasoning — structural analogy, modeling, and contextualanalogy … Continue reading →

Posted in Baslik 6: Analoji | Leave a comment

6.2 Analogy and Induction

Posted on 18 Nisan 2011 by Belgeci

   Induction and analogy are obviously closely related. In induction one assumes the future willbe similar to the past, and tries to guess which of a set of past patterns will continue into thefuture. In analogy one assumes that similar … Continue reading →

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