Incorporating BDI Agents into Human-Agent Decision Making Research

  • Authors:

  • Bart Kamphorst;Arlette Wissen;Virginia Dignum

  • Affiliations:

  • Institute of Information and Computing Sciences, Utrecht University, The Netherlands;Institute of Information and Computing Sciences, Utrecht University, The Netherlands;Institute of Information and Computing Sciences, Utrecht University, The Netherlands

  • Venue:
  • ESAW '09 Proceedings of the 10th International Workshop on Engineering Societies in the Agents World X
  • Year:
  • 2009

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Abstract

Artificial agents, people, institutes and societies all have the ability to make decisions. Decision making as a research area therefore involves a broad spectrum of sciences, ranging from Artificial Intelligence to economics to psychology. The Colored Trails (CT) framework is designed to aid researchers in all fields in examining decision making processes. It is developed both to study interaction between multiple actors (humans or software agents) in a dynamic environment, and to study and model the decision making of these actors. However, agents in the current implementation of CT lack the explanatory power to help understand the reasoning processes involved in decision making. The BDI paradigm that has been proposed in the agent research area to describe rational agents, enables the specification of agents that reason in abstract concepts such as beliefs, goals, plans and events. In this paper, we present CTAPL: an extension to CT that allows BDI software agents that are written in the practical agent programming language 2APL to reason about and interact with a CT environment.