scholarly journals Agent-based Modeling: The Right Mathematics for the Social Sciences?

2013 ◽  
Author(s):  
Paul L. Borrill ◽  
Leigh Tesfatsion
Keyword(s):  
Social Sciences ◽  
Agent Based Modeling ◽  
Agent Based ◽  
The Social ◽  
The Right

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.

Stabilizing American Society: Kenneth Boulding and the Integration of the Social Sciences, 1943–1980

2010 ◽  
Vol 23 (2) ◽  
pp. 221-265 ◽  
Author(s):  
Philippe Fontaine
Keyword(s):  
Social Sciences ◽  
World War Ii ◽  
World War ◽  
Policy Makers ◽  
Main Determinant ◽  
Disciplinary Boundaries ◽  
The Social ◽  
Social Scientific ◽  
American Society ◽  
The Right

ArgumentFor more than thirty years after World War II, the unconventional economist Kenneth E. Boulding (1910–1993) was a fervent advocate of the integration of the social sciences. Building on common general principles from various fields, notably economics, political science, and sociology, Boulding claimed that an integrated social science in which mental images were recognized as the main determinant of human behavior would allow for a better understanding of society. Boulding's approach culminated in the social triangle, a view of society as comprised of three main social organizers – exchange, threat, and love – combined in varying proportions. According to this view, the problems of American society were caused by an unbalanced combination of these three organizers. The goal of integrated social scientific knowledge was therefore to help policy makers achieve the “right” proportions of exchange, threat, and love that would lead to social stabilization. Though he was hopeful that cross-disciplinary exchanges would overcome the shortcomings of too narrow specialization, Boulding found that rather than being the locus of a peaceful and mutually beneficial exchange, disciplinary boundaries were often the occasion of conflict and miscommunication.

The Right of Philosophy and the Facts of History: Foucault, Derrida, Descartes

2016 ◽  
Author(s):  
Gabriel Rockhill
Keyword(s):  
Social Sciences ◽  
The Social ◽  
History Of ◽  
Per Se ◽  
The Right ◽  
The Relationship

This chapter proposes a counter-history of a seminal debate in the transition from structuralism to post-structuralism. It calls into question the widespread assumption that Derrida rejects Foucault’s structuralist stranglehold by demonstrating that the meaning of a text always remains open. Through a meticulous examination of their respective historical paradigms, methodological orientations and hermeneutic parameters, it argues that Derrida’s critique of his former professor is, at the level of theoretical practice, a call to return to order. The ultimate conclusion is that the Foucault-Derrida debate has much less to do with Descartes’ text per se, than with the relationship between the traditional tasks of philosophy and the meta-theoretical reconfiguration of philosophic practice via the methods of the social sciences.

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.

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