A Multi-Agent Simulation Platform for Modeling Perfectly Rational and Bounded-Rational Agents in a Firm

Arianna Dal Forno () and Ugo Merlone

Journal of Artificial Societies and Social Simulation, 2002, vol. 5, issue 2, 3

Abstract: This paper presents an agent-based simulation framework for the analysis of the equilibria emergence in a complex structure such as an organization; we can think of some of these equilibria as corporate culture. We concentrate on modeling the effort exerted by heterogeneous agents in an organization, and how the interaction between them may lead to a common level of effort (corporate culture). The simple model we propose is a system in which agents interact in a dynamic, adaptive and evolving way. Such a model encompasses many of the peculiarities which make organization modeling a hard task, because it would involve a difficult mathematical problem with solution highly sensitive to parameters. The computational approach, by contrast, allows to overcome some of these difficulties and to consider easily both perfectly rational and bounded-rational agents; this way we are able to study the interactions between different types of agents and interpret them in the relevant economic frame. Consequently we can observe how different compositions of the population may lead the system to different common behaviors; the implications of our findings are both descriptive and normative, and shed light on some core problems of the economics of organization design.

Keywords: Corporate culture; multi-agent system; bounded rationality (search for similar items in EconPapers)
Date: 2002-03-31
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:jas:jasssj:2001-27-2

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