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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 ...
26. Sept. 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.
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 ...
- Herbert Alexander Simon
- 1969
1. Okt. 1996 · 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.
- (95)
- 1981
- Herbert A. Simon
- Herbert A Simon
26. Apr. 2013 · The sciences of the artificial : Simon, Herbert A. (Herbert Alexander), 1916-2001 : Free Download, Borrow, and Streaming : Internet Archive.
Book Description. Editorial Reviews. 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.
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.
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