Computational modeling:
Saved in:
Bibliographic Details
Main Author: Taber, Charles S. (Author)
Format: Electronic eBook
Language:English
Published: Thousand Oaks, Calif. Sage Publications ©1996
Series:Quantitative applications in the social sciences no. 07-113
Subjects:
Online Access:Volltext
Item Description:Includes bibliographical references (pages 89-93)
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
In this introduction to computational modelling the authors provide a concise description of computational methods including dynamic simulation, knowledge-based models and machine learning, as a single broad class of research tools
Physical Description:1 Online-Ressource (viii, 95 pages)
ISBN:0585216800
9780585216805
9781412983716
1412983711
0803972709
9780803972704

There is no print copy available.

Interlibrary loan Place Request Caution: Not in THWS collection! Get full text