Billari / Fent / Prskawetz Agent-Based Computational Modelling

Applications in Demography, Social, Economic and Environmental Sciences
2006
ISBN: 978-3-7908-1721-8
Verlag: Physica-Verlag HD
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 226 Seiten

Reihe: Contributions to Economics

The present book describes the methodology to set up agent-based models and to study emerging patterns in complex adaptive systems resulting from multi-agent interaction. It offers the application of agent-based models in demography, social and economic sciences and environmental sciences. Examples include population dynamics, evolution of social norms, communication structures, patterns in eco-systems and socio-biology, natural resource management, spread of diseases and development processes. It presents and combines different approaches how to implement agent-based computational models and tools in an integrative manner that can be extended to other cases.

Autoren/Hrsg.

Billari, Francesco C.

Fent, Thomas

Prskawetz, Alexia

Scheffran, Jürgen

Inhaltsverzeichnis

1;Preface;7
2;Contents;8
3;Agent-Based Computational Modelling: An Introduction;10
3.1;1 Agent-Based Modelling: An Emerging Field in;10
3.2;Complex Adaptive Systems;10
3.3;2 From Rational Actors to Agent-Based Models;11
3.4;3 Structure, Behaviour and Interaction of Agents;12
3.5;4 From Micro to Macro: Modelling Population Processes;14
3.6;from the Bottom-Up;14
3.7;5 Population Dynamics from the Bottom-Up: ABCD;17
3.8;6 Contributions of ABMs to Economic, Demographic;18
3.9;and Ecological Analysis;18
3.10;References;23
4;Agent-Based Modelling – A Methodology for the Analysis of Qualitative Development Processes;26
4.1;1 Introduction;26
4.2;2 Qualitative Change in an Evolutionary Economics;28
4.3;Perspective;28
4.4;3 A Modelling Approach Allowing for Qualitative;33
4.5;Change: Agent-Based Modelling;33
4.6;4 An Illustrative Example: An Evolutionary Economics;34
4.7;Model of Entrepreneurial Behaviour;34
4.8;5 Conclusions;40
4.9;References;42
5;On the Analysis of Asymmetric Directed Communication Structures in Electronic Election Markets;45
5.1;1 Introduction;45
5.2;2 Hilbert Space, Hermitian Matrices, and Asymmetric;46
5.3;Communication Streams;46
5.4;3 Analyzing Market Structure and Behaviour in an;50
5.5;Experimental Forecasting Market;50
5.6;4 Summary;64
5.7;Acknowledgement;65
5.8;References;65
6;The Role of Assortative Mating on Population Growth in Contemporary Developed Societies;68
6.1;1 Introduction: Determinants of Fertility - Consequences;68
6.2;and Possible Causes;68
6.3;2 Microsimulation Modelling of Fertility and Nuptiality;71
6.4;3 Results of Models under Alternative Assortative;80
6.5;Mating Assumptions;80
6.6;4 Conclusions;86
6.7;Acknowledgements;87
6.8;References;88
7;An Agent-Based Simulation Model of Age-at-Marriage Norms;92
7.1;1 Introduction;92
7.2;2 Empirics;94
7.3;3 The One–Sex Model;96
7.4;4 The Extended Model;97
7.5;5 Simulation Details;104
7.6;6 Results;107
7.7;7 Concluding Remarks;121
7.8;References;122
8;The Strength of Social Interactions and Obesity among Women;124
8.1;1 Introduction;124
8.2;2 Theoretical Framework;131
8.3;3 Experiments;136
8.4;4 Conclusion;141
8.5;References;142
9;Agent-Based Models in Ecology: Patterns and Alternative Theories of Adaptive Behaviour;145
9.1;1 Introduction;145
9.2;2 Pattern-Oriented Modelling;146
9.3;3 Developing Theory of Adaptive Behaviour;148
9.4;4 Examples;150
9.5;5 Discussion;156
9.6;References;156
10;Agent-Based Modelling of Self-Organisation Processes to Support Adaptive Forest Management;159
10.1;1 Introduction;159
10.2;2 Socioeconomic Subsystem;161
10.3;3 Forest Subsystem – Forest Succession Model;168
10.4;4 Implementation of a First Version of the Forest Succession Model;173
10.5;5 Conclusions and Outlook;176
10.6;References;177
11;Vampire Bats & The Micro-Macro Link;179
11.1;1 Introduction;179
11.2;2 The Model;180
11.3;3 Simple Loop: Groups and the Evolution of Altruism;183
11.4;4 Complex Loop: Spreading of Altruistic Behaviour;190
11.5;5 Final Discussion;199
11.6;References;200
12;How Are Physical and Social Spaces Related? – Cognitive Agents as the Necessary Glue ;201
12.1;1 Introduction;201
12.2;2 Example 1 – The Schelling Model of Racial Segregation Extended with a Friendship Network and Fear;204
12.3;3 Example 2 – Social In.uence and Domestic Water Demand;213
12.4;4 Discussion;218
12.5;5 Conclusion;219
12.6;Acknowledgements;219
12.7;References;220
13;Agent Design for Agent-Based Modelling;221
13.1;1 Introduction;221
13.2;2 Speci.c and Generic Models;222
13.3;3 Which Agents?;222
13.4;4 What Level of Model Abstraction/Aggregation?;223
13.5;5 What Agent Cognition and what Agent Architecture?;224
13.6;6 Software Platforms;225
13.7;7 Choosing the Agent Architectures;225
13.8;8 An Example: Gerlach’s SPIN Organisations;226
13.9;9 Using Agent-Based Modeling to Verify SPIN Adaptive Functionality;227
13.10;10 SPINS and Terrorist Networks;227
13.11;11 Conclusion;228
13.12;References;228
14;List of Contributors;230