Appendix A A Guide for Newcomers to Agent-Based Modeling in the Social Sciences

2006 ◽  
pp. 1647-1659 ◽  
Author(s):  
Robert Axelrod ◽  
Leigh Tesfatsion
Keyword(s):  
Social Sciences ◽  
Agent Based Modeling ◽  
Agent Based ◽  
The Social

Dynamics in Human and Primate Societies

2000 ◽  
Keyword(s):  
Social Sciences ◽  
Computer Science ◽  
Case Studies ◽  
Social Problems ◽  
Cultural Anthropology ◽  
Agent Based Modeling ◽  
Small Scale ◽  
Agent Based ◽  
Recent Advances ◽  
The Social

As part of the SFI series, this book presents the most up-to-date research in the study of human and primate societies, presenting recent advances in software and algorithms for modeling societies. It also addresses case studies that have applied agent-based modeling approaches in archaeology, cultural anthropology, primatology, and sociology. Many things set this book apart from any other on modeling in the social sciences, including the emphasis on small-scale societies and the attempts to maximize realism in the modeling efforts applied to social problems and questions. It is an ideal book for professionals in archaeology or cultural anthropology as well as a valuable tool for those studying primatology or computer science.

Examining the Myth of Money with Agent-Based Modelling

2008 ◽  
pp. 252-263 ◽  
Author(s):  
Satoru Yamadera
Keyword(s):  
Social Sciences ◽  
Computational Model ◽  
Intrinsic Value ◽  
Agent Based Modeling ◽  
Agent Based ◽  
Economic Theories ◽  
Agent Based Modelling ◽  
Simulation Results ◽  
Classical Economic ◽  
Theories Of Money

This chapter presents an agent-based computational model of the emergence of money. It is based on classical economic theories of money, advocating that money is a symbol of credibility. The most interesting and mysterious feature of money is a departure of its face value from its intrinsic value. People accept and appreciate a piece of paper because it is believed as money. The model examines how such belief creates money in a society. Further more, by incorporating spatial activities of agents into the simulations, the model can examine various hypotheses which were difficult to be examined in previous approaches. The simulation results show that parameters such as credibility and communication between agents will affect the outcomes. The model not only provides the foundation for more generalized theory of money, but also demonstrates that agent-based modeling can be an effective tool to examine various hypotheses of social sciences.

ANALYZING THE AGENT-BASED MODEL AND ITS IMPLICATIONS

2003 ◽  
Vol 06 (03) ◽  
pp. 331-347 ◽  
Author(s):  
YUTAKA I. LEON SUEMATSU ◽  
KEIKI TAKADAMA ◽  
NORBERTO E. NAWA ◽  
KATSUNORI SHIMOHARA ◽  
OSAMU KATAI
Keyword(s):  
Social Sciences ◽  
Internal Structure ◽  
Design Methodology ◽  
Social Systems ◽  
Agent Based Model ◽  
Social Phenomena ◽  
Agent Based ◽  
Individual Level ◽  
The Social ◽  
The Individual

Agent-based models (ABMs) have been attracting the attention of researchers in the social sciences, becoming a prominent paradigm in the study of complex social systems. Although a great number of models have been proposed for studying a variety of social phenomena, no general agent design methodology is available. Moreover, it is difficult to validate the accuracy of these models. For this reason, we believe that some guidelines for ABMs design must be devised; therefore, this paper is a first attempt to analyze the levels of ABMs, identify and classify several aspects that should be considered when designing ABMs. Through our analysis, the following implications have been found: (1) there are two levels in designing ABMs: the individual level, related to the design of the agents' internal structure, and the collective level, which concerns the design of the agent society or macro-dynamics of the model; and (2) the mechanisms of these levels strongly affect the outcomes of the models.

MODELING ENDOGENOUS RULE CHANGES IN AN INSTITUTIONAL CONTEXT: THE ADICO SEQUENCE

2008 ◽  
Vol 11 (02) ◽  
pp. 199-215 ◽  
Author(s):  
ALEX SMAJGL ◽  
LUIS R. IZQUIERDO ◽  
MARCO HUIGEN
Keyword(s):  
Social Group ◽  
Social Dynamics ◽  
Institutional Context ◽  
Agent Based Modeling ◽  
Institutional Framework ◽  
Agent Based ◽  
The Social ◽  
Rule Changes ◽  
Do So

Agent-based modeling is being increasingly used to simulate socio-techno-ecosystems that involve social dynamics. Humans face constraints that they sometimes wish to challenge, and when they do so, they often trigger changes at the scale of the social group too. Including such adaptation dynamics explicitly in our models would allow simulation of the endogenous emergence of rule changes. This paper discusses such an approach in an institutional framework and develops a sequence that allows modeling of endogenous rule changes. Parts of this sequence are implemented in a NetLogo KISS model to provide some illustrative results.

Sign in / Sign up

Export Citation Format

Share Document