Neural Assemblies. An Alternative Approach to Artificial Intelligence.

Palm, G�nther

ISBN 10: 3540113665 ISBN 13: 9783540113669

Editorial: Springer, Berlin, Heidelberg, 1982

Idioma: Ingl�s

Condici�n: Usado Encuadernaci�n de tapa dura

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Descripci�n

Gr.-Oktav. Studies of Brain Function, Vol. 7. VIII, 244 S. Pappband. Sprache: Englisch, With 147 Figures. gutes Exemplar.

N� de ref. del art�culo 51378

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Detalles bibliogr�ficos

T�tulo

Neural Assemblies. An Alternative Approach to Artificial Intelligence.

Editor

Springer, Berlin, Heidelberg

Fecha de publicaci�n

1982

Idioma

Ingl�s

ISBN 10

3540113665

ISBN 13

9783540113669

Encuadernaci�n

Pappband

Peso

800 gramos

Cat�logos de vendedores

Naturwissenschaften / Technik

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Sinopsis

You can't tell how deep a puddle is until you step in it. When I am asked about my profession, I have two ways of answering. If I want a short discussion, I say that I am a mathematician; if I want a long discussion, I say that I try to understand how the human brain works. A long discussion often leads to further questions: What does it mean to understand "how the brain works"? Does it help to be trained in mathematics when you try to understand the brain, and what kind of mathematics can help? What makes a mathematician turn into a neuroscientist? This may lead into a metascientific discussion which I do not like par- ticularly because it is usually too far off the ground. In this book I take quite a different approach. I just start explaining how I think the brain works. In the course of this explanation my answers to the above questions will become clear to the reader, and he will perhaps learn some facts about the brain and get some insight into the construc- tions of artificial intelligence.

Rese�a del editor

You can't tell how deep a puddle is until you step in it. When I am asked about my profession, I have two ways of answering. If I want a short discussion, I say that I am a mathematician; if I want a long discussion, I say that I try to understand how the human brain works. A long discussion often leads to further questions: What does it mean to understand "how the brain works"? Does it help to be trained in mathematics when you try to understand the brain, and what kind of mathematics can help? What makes a mathematician turn into a neuroscientist? This may lead into a metascientific discussion which I do not like par� ticularly because it is usually too far off the ground. In this book I take quite a different approach. I just start explaining how I think the brain works. In the course of this explanation my answers to the above questions will become clear to the reader, and he will perhaps learn some facts about the brain and get some insight into the construc� tions of artificial intelligence.

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