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Agent-Based Modelnig with Boundedly Rational Agents

Agent-Based Modelnig with Boundedly Rational Agents
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Author(s): E. Ebenhoh (University of Osnabrück, Germany)
Copyright: 2007
Pages: 21
Source title: Handbook of Research on Nature-Inspired Computing for Economics and Management
Source Author(s)/Editor(s): Jean-Philippe Rennard (Grenoble Graduate School of Business, France)
DOI: 10.4018/978-1-59140-984-7.ch017

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Abstract

This chapter introduces an agent-based modeling framework for reproducing micro behavior in economic experiments. It gives an overview of the theoretical concept which forms the foundation of the framework as well as short descriptions of two exemplary models based on experimental data. The heterogeneous agents are endowed with a number of attributes like cooperativeness and employ more or less complex heuristics during their decision-making processes. The attributes help to distinguish between agents, and the heuristics distinguish between behavioral classes. Through this design, agents can be modeled to behave like real humans and their decision making is observable and traceable, features that are important when agent-based models are to be used in collaborative planning or participatory model-building processes.

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