Skip to content
Home/ Computational Modeling
Computational Modeling

Computational Modeling

by Taber, Charles S
No customer reviews yet ISBN 9780803972704

Why model computationally? Because these methods allow researchers to combine the rich detail of qualitative research with the rigor of quantitative and formal research, as well as to represent complex structures and processes within a theoretical model. The authors treat computational methods, including dynamic simulation (Monte Carlo methods), knowledge-based models (semantic networks, frame systems, and rule-based systems), and machine learning (connectionism, rule induction, and genetic algorithms), as a single broad-based class of research tools and develop a framework for incorporating them within established traditions of social science research. They provide a concise description of each method and a variety of social science illustrations including four detailed examples. Common to most of these methods is a straightforward underlying approach: simulate the theory by running the program. Computational Modeling concludes with a discussion of ways to validate computational models.

About the author

Product details

Pub dateMar 21, 1996
ISBN-100803972709
ISBN-139780803972704
LanguageEnglish
Last updated 2026-08-29 01:45
$57.48
In stock — ships in 24 hours with free tracking
Delivery by Monday, September 14, 2026
Qty
Sign in to Add to Saved list
Free delivery on orders over $35.
15-day returns. Any reason.
Secure checkout. We never store card details.

Readers who bought this also bought

More from Computer Simulation
See all
Concise Encyclopedia of Modelling and Simulation: Volume 5
The <i>Concise Encyclopedia of Modelling & Simulation</i> contains 172 alphabetically arranged articles describing the modelling and simulation of physical systems. The emphasis is on mathematical models and their various forms, although other types of models, such as knowledge-based, linguistics-based, graphical and data-based, are also discussed. The articles are revised from the <i>Systems & Control Encyclopedia</i>, and many newly commissioned articles are included describing recent developments in the field. Articles on identification cover all aspects of this problem, from the use and choice of specific test signals to problems of model order and the many algorithms and approaches to parameter estimation. Computational techniques, such as the finite-element method, that play an important role in analyzing nonlinear models are covered. Articles outline the development of simulation, consider currently available simulation languages, describe applications and cover current developments in the area. Where appropriate, illustrations and tables are included to clarify particular topics. This encyclopedia will be a valuable reference source for all practising engineers, researchers and postgraduate students in the field of modelling and simulation.<br>
$427.65
Light & Skin Interactions: Simulations for Computer Graphics Applications
Baranoski, Gladimir V G
$58.18
Calculated Surprises: A Philosophy of Computer Simulation
Lenhard, Johannes
$131.97
Simulation and Its Discontents
Turkle, Sherry
$46.50
Computing Legacies: Digital Cultures of Simulation
Krapp, Peter
$40.73
Handbook of Dynamic System Modeling
This interdisciplinary guide explores various types of modeling methods available for dynamical systems. It begins with the general concepts, representations, and philosophy of dynamic models, followed by a section on modeling methodologies that explains how to portray designed models on a computer. After addressing scale, heterogeneity, and composition issues, the handbook covers specific model types that are often characterized by specific visual- or text-based grammars. It concludes with case studies that employ Modelica and Simulink(R) to construct, simulate, and analyze dynamic models. Each chapter includes mathematical descriptions, pseudocode, and diagrams.
$99.05