The Sciences of the Artificial, third edition
MIT Press, 26.9.1996 - 248 sivua
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. There are updates throughout the book as well. These take into account important advances in cognitive psychology and the science of design while confirming and extending the book's basic thesis: that a physical symbol system has the necessary and sufficient means for intelligent action. The chapter "Economic Reality" has also been revised to reflect a change in emphasis in Simon's thinking about the respective roles of organizations and markets in economic systems.
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Understanding the Natural and the Artificial Worlds
Economic Rationality Adaptive Artifice
The Psychology of Thinking Embedding Artifice in Nature
Remembering and Learning Memory as Environment for Thought
The Science of Design Creating the Artificial
Social Planning Designing the Evolving Artifact
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actions activity adaptive already alternative appear applied artificial behavior building called chapter chunks cognitive complex systems components concept concerned construction course decision depends described detail discover discussion economic effects empirical engineering environment evolution example expectations experiments explain fact function future given goals H. A. Simon hence hierarchic human important inner interactions interest kinds knowledge language laws learning limits logic markets matter means mechanisms memory natural objects operating optimal organizations outer particular path performance physical planning possible prediction present Press problem production professional properties question rationality reason relation representation represented role satisficing selection sense Simon simple simulation situation social society solving stored structure subsystems symbol task theory thought tion understanding University usually