Colored trails: a multiagent system testbed for decision-making research

ABSTRACT

With increasing frequency, computer agents participate in collaborative and competitive multiagent domains in which humans reason strategically to make decisions. The deployment of computer agents in such domains requires that the agents understand something about human behavior so that they can interact successfully with people; the computer agents must be sensitive to how people reason in strategic settings as well as to the social utilities people employ to inform their reasoning. To date, these design requirements for computer agents have received relatively little attention. To further research in this area, we are developing the Colored Trails (CT) testbed [5], a configurable and extensible open-source system for use by the research community at large to investigate multiagent decision making.

REFERENCES

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INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.6 Learning

Additional Classification:
  I. Computing Methodologies
  I.6 SIMULATION AND MODELING
      I.6.5 Model Development

  J. Computer Applications
  J.4 SOCIAL AND BEHAVIORAL SCIENCES

General Terms:
Design, Experimentation, Human Factors, Performance

Keywords:
human models, multiagent testbed, negotiation, reasoning