Generating intentions through argumentation

ABSTRACT

In this paper we consider how a BDI agent might determine its best course of action. We draw on previous work which has presented a model of persuasion over action and we discuss a formalism based upon this model which extends the BDI agent architecture to include the notion of value functions. This formalism will allow BDI agents to reason and argue about practical action, in accordance with our underlying model.

REFERENCES

• 1: K. Atkinson, T. Bench-Capon, and P. McBurney. Attacks on a presumptive argument scheme in multi-agent systems: pre-conditions in terms of beliefs and desires. Technical Report ULCS-04-015, Department of Computer Science, University of Liverpool, UK, 2004.
• 2: K. Atkinson, T. Bench-Capon, and P. McBurney. Justifying practical reasoning. In F. Grasso, C. Reed, and G. Carenini, editors, Proc. CMNA 2004, pp 87--90, Valencia, Spain, 2004.
• 3: Katie Atkinson , Trevor Bench-Capon , Peter Mcburney, A Dialogue Game Protocol for Multi-Agent Argument over Proposals for Action, Autonomous Agents and Multi-Agent Systems, v.11 n.2, p.153-171, September 2005 [doi>10.1007/s10458-005-1166-x]
• 4: T. Bench-Capon. Persuasion in practical argument using value based argumentation frameworks. Journal of Logic and Computation, 13 3:429--48, 2003.
• 5: Phan Minh Dung, On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games, Artificial Intelligence, v.77 n.2, p.321-357, Sept. 1995 [doi>10.1016/0004-3702(94)00041-X]
• 6: D. N. Walton. Argument Schemes for Presumptive Reasoning. Lawrence Erlbaum Associates, Mahwah, NJ, USA, 1996.

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.0 General
          Subjects: Philosophical foundations

Additional Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
        I.2.11 Distributed Artificial Intelligence
            Subjects: Languages and structures; Multiagent systems; Intelligent agents
      I.2.4 Knowledge Representation Formalisms and Methods
          Subjects: Representation languages

General Terms:
Design, Languages, Theory

Keywords:
BDI agents, argumentation, persuasion, practical reasoning