Economic Theory, Anticipatory Systems and Artificial Adaptative Agents

Sergio Luiz de Medeiros Rivero (), Bernd Heinrich Storb () and Raul Sidnei Wazlawick ()
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Bernd Heinrich Storb: Federal University of Santa Catarina
Raul Sidnei Wazlawick: Federal University of Santa Catarina

Brazilian Electronic Journal of Economics, 1999, vol. 2, issue 2

Abstract: In this paper we propose an artificial intelligence approach to simulation in economics based on a multiagent system. The multiagent approach is based on the seminal work of Holland & Miller [6], in which the authors propose that the economic system may be viewed as a complex dynamic adaptive system with a large number of different kinds of agents and that these agents can be simulated using classifier systems. In the model developed in this article the agents take its decisions based on the anticipation of the future state of the world. The concept of anticipation is developed from the work of Davidsson [4] [2]. These agents are heterogeneous, autonomous, adaptive and anticipatory. This model is compared with the one developed by Arthur et al. [1]. In this paper are developed similarity measures between situations, actions, and changes in the world. These measures are useful for a computationally simulated economic agent to compare previous situations, actions and results, and decide which action could lead to a situation with the best utility or satisfaction degree.

Keywords: Multiagent Systems; Economics; Simulation; Classifier Systems; Anticipatory Systems (search for similar items in EconPapers)

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