書誌事項

Artificial intelligence, simulation, and modeling

edited by Lawrence E. Widman, Kenneth A. Loparo, and Norman R. Nielsen

Wiley, c1989

大学図書館所蔵 件 / 48

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注記

"A Wiley-Interscience publication."

Includes bibliographies and index

内容説明・目次

内容説明

This interdisciplinary approach to computer modelling addresses both traditional simulationists seeking the greater representational flexibility and ease that Artificial Intelligence techniques offer, and computer scientists seeking the greater power and realism that rigorous simulation techniques can provide. The first section reveals the theoretical underpinnings of AI and simulation, with the second section describing application of simulation techniques to current problems in AI research. The third section discusses application of AI methods to simulation.

目次

  • Part 1 Conceptual bases for artificial intelligence and simulation: the nature of modeling
  • process abstraction in simulation modeling
  • problems with problem-solving in parallel: the poligon system. Part 2 Reasoning by simulation in artificial intelligence systems: qualitative reasoning with causal models in diagnosis of complex systems
  • constructing qualitative domain maps from qualitative simulation models
  • issues in qualitative reasoning about diffusional processes. Part 3 Applying artificial intelligence to enrich simulation: the role of causal and noncausal constraints in steady-state qualitative modeling
  • a hybrid paradigm for modeling of complex systems
  • a hierarchical framework for learning control.

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