Simulating Society

Louis J. D'Andria

ISBN 10: 0387985328 / ISBN 13: 9780387985329

Published by Springer New York Jun 1998, 1998

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -In 'Simulating Scoiety', the authors explore the basis for social and economic behavior. Using the methodology of computer simulation, specifically cellular automata, they model various factors that are involved in a system of individuals (or agents) who interact socially and economically with one another. The usefulness of computer simulations in the social sciences is that it provides a laboratory in which qualitative ideas about social and economic interations can be tested. This brings a new dimension to the social sciences where 'explanations' abound, but are rarely subject to much experimental testing. Mathematica is used as the programming language for implementing these models as cellular automata simulations. The authors have chosen this language because it has a number of features which make it uniquely qualified to be used by social scientists, especially those without expertise in computer programming. 248 pp. Englisch.

Seller Inventory # 9780387985329

Bibliographic Details

• Title: Simulating Society
• Publisher: Springer New York Jun 1998
• Publication Date: 1998
• Language: English
• ISBN 10: 0387985328
• ISBN 13: 9780387985329
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 254W x 178H x 14D millimeters 254 millimeters width by 178 millimeters height by 14 millimeters depth
• Weight: 474 grams

About this title

Synopsis

In "Simulating Scoiety", the authors explore the basis for social and economic behavior. Using the methodology of computer simulation, specifically cellular automata, they model various factors that are involved in a system of individuals (or agents) who interact socially and economically with one another. The usefulness of computer simulations in the social sciences is that it provides a laboratory in which qualitative ideas about social and economic interations can be tested. This brings a new dimension to the social sciences where 'explanations' abound, but are rarely subject to much experimental testing. Mathematica is used as the programming language for implementing these models as cellular automata simulations. The authors have chosen this language because it has a number of features which make it uniquely qualified to be used by social scientists, especially those without expertise in computer programming. Users can easily access the various 3.0 Mathematica notebooks, and readily interact with them, the full text of the printed book, itself, and other data contained on www.telospub.com.