A Multi-Agent Simulation Platform for Modeling Perfectly Rational and Bounded-Rational Agents in a Firm
AbstractThis 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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Journal of Artificial Societies and Social Simulation in its journal Journal of Artificial Societies and Social Simulation.
Volume (Year): 5 (2002)
Issue (Month): 2 ()
Contact details of provider:
Corporate culture; multi-agent system; bounded rationality;
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Nigel Gilbert).
If references are entirely missing, you can add them using this form.