Book: Natural and Artificial Intelligence by A. de Callata˙
|- I have developed a brain model described in my book: Natural and Artificial Intelligence: Processor Systems Compared to the
Human Brain, (1986) North Holland (Elsevier), Amsterdam. (500 pages, in quarto)
- (A Japanese translation is published by Maruzen Co., Tokyo).
|- The book reviews the main features of computers (hardware
and AI software) and robots.
- It develops and sizes special types of neural networks.
- It reviews the knowledge on biological brains relevant to the functional models.
- It describes a large-scale functional brain model.
|- After the first edition, I found necessary to first destroy the
misconceptions preventing the model acceptance.
- A second edition includes a prologue (130 pages) about misconceptions (a list is given below)
- A main misconception is a narrow view on the adaptive, plastic nervous system preventing to see the biological winner-takes-all functions.
- Another misconception assumes that any logic must be strictly consistent. This prejudice prevents the use of any deductive model, making impossible a comprehensive view of the brain operations.
-The enlarged annexes (51 pages) are an update on neuroscience and on the corresponding features of the suggested brain model.
- The expanded edition was published in 1992.
- de Callata˙ A. (1992) Natural and Artificial Intelligence: Misconceptions about Brains and Neural Networks, New, expanded Edition, North Holland (Elsevier), Amsterdam (690 pages: hardcover or paperback).
Link to my book at Elsevier site
|Misconceptions about brains and neural networks
- (Pages P4 and P5 of the book).
- In the prologue, I try to shake the foundations of many current ideas.
- Should thought have a unifying principle?
- Should neuronal networks be homogenous?
- Are all-or-none switches biologically impossible?
|- Must memory disappear in biological organisms continuously
- Is the plasticity of neuronal maps incompatible with computer models?
- Are the neuronal computations mostly based on inhibition and excitation?
|- Is the topographical organization of brains necessary
- Do we forget our previous habits and beliefs after having changed them?
- Are our behaviors frequently perturbed by noise?
|- Is the large variance of our movements incompatible with
- Does machine behavior have less variance than that of animals?
- Does adaptive learning exclude irreversible memorization?
|- Is symbolic computation incompatible with approximate
- Is combinatorial explosion of cases unavoidable in symbolic systems?
- Is information distribution more reliable than redundancy?
- Do Lashley's experiments prove that brain memory must be distributed?
|- Is addition of learned events impossible in conventional
- Are grand-mother neurons impossible in the real nervous system?
- Are Gestalt phenomena incompatible with symbolic processing?
- Are attractor neural networks more reliable than grand-mother networks?
|- Is instant learning rare?
- Are generalized rules necessary for reasoning?
- Is AI a rigid logic method?
- Is rote learning incompatible with understanding?
|- Does intelligent classification need a teacher?
- Can classification be a continuous operation?
- Can a rhythmic system be non-oscillatory?
- Is the variance of reaction time incompatible with a rhythmic control?
|- Does natural intelligence infer instead of deciding?
- Is making decisions a complex algorithm?
- Do decisions depend on the way the quantum wave collapses?
- Must we find mathematical formulae explaining thought?
|- Is document retrieval a complex algorithm?
- Is reasoning by analogy a complex algorithm?
- Is intention a mental concept not implementable in hardware?
- Is consciousness not understandable as a mechanism?
|- Do the limitations of expert systems prove that AI is an
- Do Gödel's and Turing's limitations of mathematics and computers prevent natural intelligence by machines?
|- Are the primary elements of brain knowledge permanent
- Must we first find how similarities are computed?
- Is long-term memorization preceded by short-term memorization?
|- Can parsing be a continuous operation?
- Is human behavior not stereotyped?
- Is spontaneous human behavior frequently efficient?
|- Is human behavior optimized?
- Is it impossible that simple mechanisms combined produce intelligence?
|- I explain in the book why the response to all these questions might be "no".|
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Copyrighted: Armand de Callata˙, 1999, XLKL Base location