Computation and Intelligence: Collected ReadingsGeorge F. Luger Computation and Intelligence brings together 29 readings in Artificial Intelligence that are particularly relevant to today's student/practitioner. With its helpful critique of the selections, extensive bibliography, and clear presentation of the material, Computation and Intelligence will be a useful adjunct to any course in AI as well as a handy reference for professionals in the field. The book is divided into five parts, each reflecting the stages of development of AI. The first part, Foundations,, contains readings that present or discuss foundational ideas linking computation and intelligence, typified by A. M. Turing's "Computing Machinery and Intelligence." The second part, Knowledge Representation, presents a sampling of numerous representational schemes by Newell, Minsky, Collins & Quillian, Winograd, Schank, Hayes, Holland, McClelland, Rumelhart, Hinton, and Brooks. The third part, Weak Method Problem Solving, fouses on the research and design of syntax-based problem solvers, including the most famous of these, the Logic Theorist and GPS. The fourth part, Reasoning in Complex and Dynamic Environments, presents a broad spectrum of the AI community's research in knowledge-intensive problem solving, from McCarthy's early design of systems with "common sense" to model-based reasoning. The two concluding selections, by Marvin Minsky and by Herbert Simon, respectively, present the recent thoughts of two of AI's pioneers who revisit the concepts and controversies that have developed during the evolution of the tools and techniques that make up the current practice of Artificial Intelligence. |
From inside the book
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... mechanisms from the requirements of particular task domains . The General Problem Solver ( GPS ) was perhaps the first of these , while among its descendants are such contemporary systems as PLANNER and CONNIVER . The search for common ...
... mechanisms that will cause the system to behave as if it could use the knowledge to attain the purposes the system is supposed to serve . This practice extends to design , where stipulating the knowledge a system is to have is a ...
... mechanisms . I believe this leads to at- tempts to extract more performance from fewer " basic mechanisms " than is reasonable . Such theories especially neglect mechanisms of procedure con- trol and explicit representations of ...