The Brain as a Computer: International Series of Monographs on Pure and Applied Biology: ZoologyThe Brain as a Computer, Second Edition is a 14-chapter book that outlines the principles of cybernetics in relation to behavior, from the perspective of experimental psychology and neurophysiology. This book begins by describing the main ideas of cybernetics. Subsequent chapters explore cybernetic models, with emphasis on finite automata, and particularly finite automata in logical net form, which seem especially useful to the modeling of behavior. Other chapters summarize learning theory, neurological matters, thinking, perception, and artificial intelligence. |
Contents
| 1 | |
| 15 | |
CHAPTER 3
PHILOSOPHY METHODOLOGY AND
CYBERNETICS | 43 |
CHAPTER 4
FINITE AUTOMATA | 91 |
CHAPTER 5
LOGICAL NETS | 121 |
CHAPTER 6
THEORY OF GAMES | 159 |
CHAPTER 7
PROGRAMMING COMPUTERS TO SOLVE
PROBLEMS | 165 |
CHAPTER 8
PSYCHOLOGICAL THEORY OF
LEARNING | 191 |
CHAPTER 11
PERCEPTION | 339 |
CHAPTER 12
PATTERN RECOGNITION | 387 |
CHAPTER 13
ARTIFICIAL INTELLIGENCE | 405 |
CHAPTER 14
SUMMARY | 421 |
SOME RECENT BRAIN MODELS | 441 |
| 445 | |
| 467 | |
| 473 | |
CHAPTER 9
BEHAVIOUR AND THE NERVOUS
SYSTEM | 249 |
CHAPTER 10
THEORIES AND MODELS OF
THE NERVOUS SYSTEM | 307 |
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Common terms and phrases
activity after-effects areas artificial intelligence associated automata theory automaton axiomatic systems basic behaviour brain calculus called cells central cerebral cortex chapter cognitive concepts concerned conditional probability conditioned conditioned stimulus connections consider constructed cortex cortical course cybernetics definition described discussion effect elements example excitation experimental experiments fact fibres finite automata firing frontal function further heuristic human hypothalamus important inductive inhibition inhibitory input interest interpretation involved language latent learning logical nets mathematical matrix means mesencephalon methods molar nerve nervous system neural neurons neurophysiological noughts-and-crosses occur operation organism output particular perception possible precise principle probability problem programming properties propositional calculus psychology reflex reinforcement relation represent response result retina sensory Sheffer stroke simple sort stimulus storage system suggested symbols temporal thalamus theoretical terms theory thinking tion Turing machine variables visual words