ISBN:
9784431997818
Language:
English
Pages:
Online-Ressource (XII, 280 p, online resource)
Series Statement:
Agent-Based Social Systems 7
Series Statement:
SpringerLink
Series Statement:
Bücher
Parallel Title:
Druckausg. Simulating interacting agents and social phenomena
Keywords:
Computer science
;
Application software
;
Complexity, Computational
;
Economic theory
;
Sociology
;
Computer Science
;
Computer science
;
Social sciences Data processing
;
Physics
;
Engineering
;
Economics, Mathematical
;
Sociology
;
Konferenzschrift 2008
;
Sozialwissenschaften
;
Agent
;
Sozialwissenschaften
;
Agent
Abstract:
Agent-based modeling and social simulation have emerged as an interdisciplinary area of social science that includes computational economics, organizational science, social dynamics, and complex systems. This area contributes to enriching our understanding of the fundamental processes of social phenomena caused by complex interactions among agents. Bringing together diverse approaches to social simulation and research agendas, this book presents a unique collection of contributions from the Second World Congress on Social Simulation, held in 2008 at George Mason University in Washington DC, USA. This book in particular includes articles on norms, diffusion, social networks, economy, markets and organizations, computational modeling, and programming environments, providing new hypotheses and theories, new simulation experiments compared with various data sets, and new methods for model design and development. These works emerged from a global and interdisciplinary scientific community of the three regional scientific associations for social simulation: the North American Association for Computational Social and Organizational Science (NAACSOS, now the Computational Social Science Society, CSSS), the European Social Simulation Association (ESSA), and the Pacific Asian Association for Agent-bBased Approach in Social Systems Sciences (PAAA).
Description / Table of Contents:
Simulating Interacting Agents and Social Phenomena; Preface; Contents; Part I: Norms, Diffusion and Social Networks; A Classification of Normative Architectures; 1 .Introduction; 2 .The Selected Cases; 3 .A Classification of Design Decisions; 3.1 .Design Decision 1: The Scale from Logic to Decision Theory; 3.2 .Design Decision 2: Single or Social Agents?; 3.3 .Design Decision 3: Concepts of Norms; 3.4 .Design Decision 4: Static or Dynamic Norms?; 3.5 .Design Decision 5: Norm Conflicts; 4 .Conclusion; References; The Complex Loop of Norm Emergence: A Simulation Model; 1 .Introduction
Description / Table of Contents:
2 .Existent Approaches3 .Social Norms; 4 .Objectives; 5 .Finding Out Norms; 6 .Normative Architecture; 6.1 .Norm Recognizer; 7 .The Simulation Model; 7.1 .Moving Across Scenarios; 7.2 .Social Conformers; 7.3 .Norm-Recognizers; 8 .The Simulator; 9 .Results and Discussion; 9.1 .Results with Social Conformers; 9.2 .Results with Norm Recognizers; 10 .Concluding Remarks; References; A Social Network Model of Direct Versus Indirect Reciprocity in a Corrections-Based Therapeutic Community; 1 .Introduction; 2 .Theoretical Background; 2.1 .Direct and Indirect Reciprocity
Description / Table of Contents:
2.2 .Indirect and Direct Reciprocity in TCs3 .Methodology; 3.1 .Agent-Based Model; 3.2 .Data; 3.3 .Analysis; 4 .Results; 5 .Conclusion; References; A Force-Directed Layout for Community Detection with Automatic Clusterization; 1 .Introduction; 2 .A Weakness of .Q; 3 .Related Work; 4 .Community Structure Properties; 4.1 .Node Degree; 4.2 .Graph Distance; 5 .Algorithms; 5.1 .Force-Directed Layout; 5.2 .Convergence; 5.3 .Motivation; 5.4 .Clustering; 5.5 .Example; 6 .Results; 6.1 .Social Network Results; 7 .Improvements; 7.1 .a-Searching; 7.2 .Refining e; 8 .Results; 9 .Conclusion & Future Work
Description / Table of Contents:
ReferencesComparing Two Sexual Mixing Schemes for Modelling the Spread of HIV/AIDS; 1 .Introduction; 2 .Specification for Two Sexual Mixing Schemes; 2.1 .A Scheme Based on Simple Aspiration and Quality Measure; 2.2 .A Scheme Based on Endorsements; 3 .Simulation Results; 3.1 .Characteristics of the Simulated Heterosexual Networks; 3.2 .HIV/AIDS Prevalence; 4 .Discussion and Outlook; References; Exploring Context Permeability in Multiple Social Networks; 1 .Introduction; 2 .Multiple and Multi-Modal Relations; 3 .Relations, Roles and Contexts; 4 .Social Network Representations and Analysis
Description / Table of Contents:
5 .Consensus Games6 .Experimental Setting; 7 .Analysis of Simulation Outcomes; 8 .Conclusions and Future Work; References; A Naturalistic Multi-Agent Model of Word-of-Mouth Dynamics; 1 .Modeling Word-of-Mouth; 1.1 .Evidence on Word-of-Mouth; 1.2 .Existing Models; 1.3 .Target; 2 .Model; 2.1 .Structure of Interactions; 2.2 .Knowledge Representation; 2.3 .Communicative Behavior; 3 .Simulation; 3.1 .Dynamics with Active Searches; 3.2 .Using an Event to Facilitate Diffusion of Information; 3.3 .Diffusion of Related Products; 4 .Discussion; References; Part II: Economy, Market and Organization
Description / Table of Contents:
Introducing Preference Heterogeneity into a Monocentric Urban Model: An Agent-Based Land Market Model
Note:
Includes bibliographical references and index
DOI:
10.1007/978-4-431-99781-8
URL:
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