Artificial intelligence modeling of control systems
Article Abstract:
The field of control systems simulation needs artificial intelligence technology as much as expert systems need systems simulation tools. A functional approach for the design of Expert Systems that perform model generations and simulations is proposed. A differential games simulator design is chosen to exemplify the above ideas. The discrete-event approach, based on the geometry of the game is proposed. Results are comparable with the simulation results obtained using the imperative approach, but the interrogative approach offers faster execution and clearer simulator definition. Knowledge representation of the differential games models is described using Semantic Networks. The model generation methodology is a blend of several problem-solving paradigms, an the hierarchical dynamic goal system construction serves as the basis for model generation. Prolog-based implementation of the system is suggested. (Reprinted with permission of the publisher.)
Publication Name: SIMULATION
Subject: Engineering and manufacturing industries
ISSN: 0037-5497
Year: 1988
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Applications of Artificial Intelligence: LISP Machines Incorporated (LMI)
Article Abstract:
LISP, LIST Processing language, is ideally suited to manipulating the symbols and concepts necessary for artificial intelligence programming, natural language processing and robotics. LISP Machines Inc. (LMI) produced the first commercial LISP computer, the Series III CADR, in 1980. LMI continues to develop LISP machines and is applying artificial intelligence technology toward packaged software development systems in an effort to integrate these advanced techniques into existing industry computers.
Publication Name: SIMULATION
Subject: Engineering and manufacturing industries
ISSN: 0037-5497
Year: 1985
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