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Oct 1, 1996 · The science of the artificial can be represented by theories like control theory and game theory, Simon says. This book has not only had an influence on how to research artificial intelligence, but in recent years it has become an increasingly important reference in information systems research.
- (95)
- 1981
- Herbert A. Simon
- Herbert A Simon
Herbert Simon's classic and influential The Sciences of the Artificial declares definitively that there can be a science not only of natural phenomena but also of what is artificial. Exploring the commonalities of artificial systems, including economic systems, the business firm, artificial intelligence, complex engineering projects, and social ...
The Sciences of the Artificial (1969) [1] is a book by Herbert A. Simon in the domain of the learning sciences and artificial intelligence; it is especially influential in design theory. [2] The book is themed around how artificial phenomena ought to be categorized, discussing as to whether such phenomena belong within the domain of ' science '.
- Herbert Alexander Simon
- 1969
Sep 26, 1996 · A classic work on artificial intelligence and the science of design by Herbert Simon. The book explores the organization of complexity and the principles of artificial systems, with examples and applications.
Aug 13, 2019 · The Sciences of the Artificial, reissue of the third edition with a new introduction by John Laird (Mit Press) Paperback – Illustrated, August 13, 2019. by Herbert A. Simon (Author), John E. Laird (Introduction) 4.6 94 ratings. See all formats and editions. Kindle. $29.99 Read with our free app. Paperback. from $41.71 2 Used from $41.71. Paperback.
- (94)
- The MIT Press
- $37.05
- Herbert A. Simon
Continuing his exploration of the organization of complexity and the science of design, this new edition of Herbert Simon's classic work on artificial intelligence adds a chapter that sorts...
Continuing his exploration of the organization of complexity and the science of design, this new edition of Herbert Simon’s classic work on artificial intelligence adds a chapter that sorts out the current themes and tools—chaos, adaptive systems, genetic algorithms—for analyzing complexity and complex systems.
