The role of assumption identification in autonomous agent reasoning

ABSTRACT

The concept of autonomy is central to the notion of agenthood and has been addressed by many researchers in the multi-agent systems community. We argue that the degree to which an agent's reasoning is autonomous is affected by the degree to which it is able to choose its assumptions autonomously. We discuss a technique that enables agents to identify appropriate assumptions dynamically, by employing representations of norms in Default Logic.

REFERENCES

• 1: Cristiano Castelfranchi. Founding agents' "autonomy" on dependence theory. In Werner Horn, editor, ECAI 2000, pages 353--357. IOS Press, 2000.
• 2: Georgios K. Giannikis , Aspassia Daskalopulu, Defeasible Reasoning with e-Contracts, Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology, p.690-694, December 18-22, 2006 [doi>10.1109/IAT.2006.51]
• 3: Georgios K. Giannikis and Aspassia Daskalopulu. The representation of e-Contracts as default theories. In H. G. Okuno and M. Ali, editors, Proceedings of 19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2007), LNAI 4570, pages 963--973, Kyoto, Japan, 2007. Springer-Verlag Berlin Heidelberg.
• 4: Georgios K. Giannikis , Aspassia Daskalopulu, How Can Agents Know What to Assume When?, Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, p.538-545, December 09-12, 2008 [doi>10.1109/WIIAT.2008.166]
• 5: R Kowalski , M Sergot, A logic-based calculus of events, New Generation Computing, v.4 n.1, p.67-95, 1986 [doi>10.1007/BF03037383]
• 6: Raymond Reiter. A logic for default reasoning. Artif. Intell., 13(1--2):81--132, 1980.
• 7: Luc Steels. When are robots intelligent autonomous agents? Robotics and Autonomous Systems, 15(1--2):3--9, 1995.

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
        I.2.11 Distributed Artificial Intelligence
            Subjects: Multiagent systems

Additional Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.4 Knowledge Representation Formalisms and Methods
          Subjects: Representations (procedural and rule-based)

General Terms:
Theory

Keywords:
agents, assumptions, autonomy, default logic