By Yutaka Nakai, Yuhsuke Koyama, Takao Terano
Agent-based modeling/simulation is an emergent method of the research of social and fiscal structures. It presents a bottom-up experimental approach to be utilized to social sciences resembling economics, administration, sociology and politics in addition to a few engineering fields facing social actions. This booklet comprises chosen papers provided on the 8th overseas Workshop on Agent-Based methods in fiscal and Social advanced structures held in Tokyo, Japan, in 2013. on the workshop, 23 reviewed complete papers have been offered and of these, thirteen have been chosen to be incorporated during this volume.
Read or Download Agent-Based Approaches in Economic and Social Complex Systems VIII: Post-Proceedings of The AESCS International Workshop 2013 PDF
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Extra resources for Agent-Based Approaches in Economic and Social Complex Systems VIII: Post-Proceedings of The AESCS International Workshop 2013
The SCM provides an integrated framework that allows investigating key issues relating to the origin and maintenance of prejudice in ways that previous generations of social scientists, such as Allport, never could. 26 D. Van Rooy References Allport GW (1954) The nature of prejudice. Addison-Wesley, Reading Hamilton DL, Gifford RK (1976) Illusory correlation in intergroup perception: a cognitive basis of stereotypic judgments. J Exp Soc Psychol 12:392–407 Hardin C, Higgins ET (1996) Shared reality: how social verification makes the subjective objective.
Keywords Category theory • Topos theory • Recognition theory • Local logic • Truth granularity • Notional truth attribution • Social conflict • Social model of war 1 Introduction Arguably, for centuries, mathematical tools were not sufficiently expressive to support social models. Accordingly, rigorous social analysis has focused on counting and measuring, including the application of ever more powerful statistical techniques, while continuing to lack the mathematical capacity to represent dynamic interaction, evolving relations, and the pervasive fluidity of social processes.
The first two cells represent the group label present in each statement, the next two cells denote the valence of the statement (see Fig. 2 for a graphical representation of an agent network). 1). 1. We used several sets of parameters and training trials to illustrate the effect, but the basic effect remains similar: The model predicts that, initially, Group A will have a stronger positive association than Group B. More precisely, the illusory correlation effect is initially absent, gradually emerges with increasing amounts of learning, but diminishes and disappears as learning continues.