Computational modeling /
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.
| Основен автор: | Taber, Charles S. |
|---|---|
| Други автори: | Timpone, Richard J. |
| Формат: | Електронна книга |
| Език: | English |
| Публикувано: |
Thousand Oaks, Calif. :
Sage Publications,
℗♭1996.
|
| Серия: |
Quantitative applications in the social sciences ;
no. 07-113. |
| Предмети: | |
| Онлайн достъп: |
http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=24705 |
| Подобни документи: |
Print version::
Computational modeling. |
Съдържание:
- 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.