http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Introduction: Beyond platforms and on-ramps. Models and computational models. Why model computationally? Where is computational modeling likely to be most useful? Drawbacks of computational modeling. General stages in a computational modeling project. An overview of the following chapters -- Dynamic simulation models: Dynamic simulation. Cellular automata -- Knowledge-based systems: Semantic networks. Frame systems. Rule-based expert systems. Hybrid systems. -- Models of machine learning: Connectionist models. ID3.
Electronic reproduction. Boulder, Colo. : NetLibrary, 2000. Available via World Wide Web. Access may be limited to NetLibrary affiliated libraries.
Includes bibliographical references (pages 89-93).
Quantitative applications in the social sciences ; no. 113