Situation-aware risk management in autonomous agents

ABSTRACT

We present a novel approach to enable decision-making in a highly distributed multiagent environment where individual agents need to act in an autonomous fashion. Our architecture framework integrates risk management, knowledge management, and agent deliberation to enable sophisticated, autonomous decision-making. Instead of a centralized knowledge repository, our approach supports a highly distributed knowledge base in which each agent manages a fraction of the knowledge needed by the entire system.

REFERENCES

• 1: B. Bemeleit, M. Lorenz, J. Schumacher, and O. Herzog. Risk management for transportation of sensitive goods. In Proceedings of the 10th. International Symposium on Logistic (10th ISL), Lisbon, Portugal, July 3 - 5 2005.
• 2: S. Figlewski and R. M. Levich, editors. Risk management: the state of the art. Kluwer Academic Press, 2002.
• 3: Joseph Y. Halpern, Reasoning about Uncertainty, MIT Press, Cambridge, MA, 2003
• 4: Rudolf Kruse , Erhard Schwecke , Jochen Heinsohn, Uncertainty and vagueness in knowledge based systems, Springer-Verlag New York, Inc., New York, NY, 1991
• 5: H. Langer, J. D. Gehrke, J. Hammer, M. Lorenz, I. J. Timm, and O. Herzog. Emerging knowledge management in distributed environments. In Workshop on Agent-Mediated Knowledge Management (AMKM 2005), pages 14--26, 2005.
• 6: I. J. Timm. Dynamisches Konfliktmanagement als Verhaltenssteuerung Intelligenter Agenten. PhD thesis, Universität Bremen, Bremen, Germany, Apr. 2004.
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INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
        I.2.11 Distributed Artificial Intelligence
            Subjects: Intelligent agents

Additional Classification:
  H. Information Systems
  H.1 MODELS AND PRINCIPLES
      H.1.1 Systems and Information Theory
          Subjects: Value of information
  H.4 INFORMATION SYSTEMS APPLICATIONS
      H.4.2 Types of Systems
          Subjects: Logistics; Decision support (e.g., MIS)

General Terms:
Design, Economics, Management, Reliability

Keywords:
decision support, intelligent agents, knowledge management, logistics, risk management