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N.J Mackintosh. Conditioning and associative learning. Oxford, OUP, 1983.

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A Situated and Embodied Model of Classical and Instrumental.. - Fernando (2002)   (Correct)

....from the junction of the T, nor sensed in any way until the goal box is actually entered. This ensures that the rat is not able to reactively approach a visible cue. In the original experiments described by Mackintosh a T maze is situated in a laboratory containing a variety of other features [48]. Food is available in one goal box (GB ) but not in another goal box (BG ) Which Rodney Brooks in William Gray Walter Conference, Bristol 2002 has called a GOFAI Robot . In this simulation there are no features external to the maze. START POSITION GOAL BOX (LEFT) GOAL BOX(RIGHT) Figure ....

....general learning system. In summary, the central assumption of instrumental conditioning is that : behaviour is modi ed by its consequences, and organisms learn new responses or new patterns of responding because those responses or patterns have produced certain reinforcing e ects in the past[48] (p4) The response is not described as caused by external stimuli, but rather it is internally generated . One objection to behaviourism as summarized by Dennett was that behaviourism made tacit and hidden assumptions about cognition , i.e about stu going on in the head, and that it took an ....

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N.J Mackintosh. Conditioning and associative learning. Oxford, OUP, 1983.


Reinforcement Learning I: Introduction - Sutton, Barto (1998)   (581 citations)  (Correct)

....the roots of reinforcement learning lie in the learning theories developed by experimental psychologists throughout this century. It would take us too far afield to attempt an overview of the reinforcement theories of psychology, something that is already available in many books (e.g. (Mackintosh, 1983)) We concentrate instead on the best known of the early explorations of the computational power of reinforcement learning, trying not to obscure the fact that computational and psychological perspectives are sometimes hard to distinguish. In the 1960s one finds the terms reinforcement and ....

Mackintosh, NJ (1983). Conditioning and Associative Learning. New York: Oxford University Press.


ARBIB: an Autonomous Robot Based on Inspirations from Biology - Damper, French, Scutt (1999)   (Correct)

....learning, and associative classical conditioning. A full and complete review of these extremely well studied topics would be an enormous undertaking and is well beyond the scope of this paper. Hence, we concentrate here on the basic points which have influenced our model. The reader is referred to [25, 43, 46, 47] for extensive, additional background on associative and non associative learning. According to Brooks [14, p. 298] Two classical types of learning that have been little used in robotics are habituation and sensitization. Both . seem to be critical in adapting a complex robot to a ....

N. J. Mackintosh. Conditioning and Associative Learning. Oxford University Press, Oxford, UK, 1983.


Biological Learning and Artificial Intelligence - Balkenius (1994)   (1 citation)  (Correct)

....the rats will continue to turn right. Here, we will not consider what determines which strategy the animals will use. The important observation is that in some cases, they will use a place strategy. start start Train Test food empty empty empty Figure 1. Mazes for a place learning experiment Mackintosh (1983) distinguishes between three types of possible learning mechanisms in simple T mazes. If the two arms of the maze are physically different, the animal can use this property to associate the correct arm with the food. If the two arms are identical, a place learning strategy could be used instead ....

....of the concept of a chair. The radial structure of categories has also been studied within the behaviouristic tradition. When the 17 tendency to respond to a stimulus is measured, it can usually be shown that there exists one specific stimuli for which the response is strongest or most likely (Mackintosh 1983). As the stimulus is altered the response decreases with increased dissimilarity between the optimal and the altered stimulus. There is said to be generalization gradient around the optimal stimulus. Is this not prototype theory in disguise Another way to study perceptual learning is to see ....

Mackintosh, N. J., (1983), Conditioning and associative learning , Oxford: Oxford University Press.


Emotional Agents - Wright (1997)   (5 citations)  (Correct)

....trial and error. Reinforcement theory the theory that those behaviours that lead to reinforcing consequences are maintained is a narrow theory of learning arising from laboratory experimentation with animals, particularly rats (for a full review of its methods, theories and results see (Mackintosh, 1983)) It is a behaviouristic theory; that is, it avoids assuming internal mechanisms or states that mediate behaviour. However, simplified models, based on operationally defined variables, have been proposed. A number of its concepts, first formulated by B. F. Skinner in the thirties, are relevant to ....

Mackintosh, N. J. (1983). Conditioning and associative learning. Oxford Psychology Series No. 3. Oxford: Oxford University Press.


Generalization in Instrumental Learning - Balkenius (1996)   (1 citation)  (Correct)

....a stimulus, say CS 1 is first paired with the US until a steady level of responding is achieved. At this point, a second stimulus CS 2 is introduced which is subsequently paired with CS 1 without the US being present. It is well known that this procedure causes CS 2 to produce the CR on its own (Mackintosh 1983). The typical explanation of this phenomenon is that CS 1 has acquired reinforcing properties during its previous pairing with the US and is now able to act as if it was a US. This is modelled by the network in the following way (See figure 5) The activity generated at x is sent to d by ....

Mackintosh, N. J., (1983), Conditioning and associative learning, Oxford: Oxford University Press.


Foraging Through Prediction - Dayan, Montague, Sejnowski   (Correct)

No context found.

Mackintosh, NJ (1983). Conditioning and Associative Learning. Oxford, England: Oxford University Press.


Statistical Models of Conditioning - Dayan, Long (1999)   (1 citation)  (Correct)

No context found.

Mackintosh, NJ (1983). Conditioning and Associative Learning. Oxford, UK: Oxford University Press.

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