skip to main content
10.1145/860575.860610acmconferencesArticle/Chapter ViewAbstractPublication PagesaamasConference Proceedingsconference-collections
Article

First order heterogeneous agent computations

Published:14 July 2003Publication History

ABSTRACT

Eiter et. al. (1999) have developed a semantics for agents built on top of legacy code bases. In this paper, we study positive agents in their setting. Their semantics are given in terms of "ground" status atoms. In this paper, we argue that the requirement of being ground poses a huge computational overhead. We propose a non-ground semantics for heterogeneous agents in which the semantical structures proposed by Eiter et. al. can be succinctly represented. We use this representation to efficiently compute the nonground representations. We describe our algorithms as well as a prototype experimental implementation using which we validate the efficiency gains realized with our new implementation.

References

  1. Barringer, H., M. Fisher, D. Gabbay, G. Gough, and R. Owens (1989, June). MetateM: A framework for programming in temporal logic. In Stepwise Refinement of Distributed Systems: Models, Formalisms, Correctness, Lecture Notes in Computer Science 430. Springer-Verlag. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. J. Dix and M. Müller. Implementing Semantics of Disjunctive Logic Programs Using Fringes and Abstract Properties, Proc. LPNMR '93, (eds. L.-M. Pereira and A. Nerode), pp 43--59, 1993. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. T. Eiter, G. Gottlob, J. Lu and V.S. Subrahmanian. Computing Non-Ground Representations of Stable Models, Proc. 1997 Intl. Conf. on Logic Programming and Non-Monotonic Reasoning, MIT Press, Lexington, KY, 1997. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Thomas Eiter, V. S. Subrahmanian, and George Pick. Heterogeneous Active Agents, I: Semantics. Artifical Intelligence, 108(1-2):179--255, 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. M. Gabbrielli, G. Levi. Modeling Answer Constraints in Constraint Logic Programs, Proc. ICLP, 1991, pp.238--251.Google ScholarGoogle Scholar
  6. N.J. Nilsson. Principles of Artificial Intelligence (1980). Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. S. Rosenschein. Formal Theories of Knowledge in AI and Robotics. New Generation Computing, 3(4):345--357, 1985. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. S. Rosenschein and L. Kaelbling. A Situated View of Representation and Control. Artificial Intelligence, 73:149--173, 1995. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. H. Samet. The Design and Analysis of Spatial Data Sructures, 1989, Addison-Wesley. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Y. Shoham. Agent Oriented Programming. Artificial Intelligence, 60:51--92, 1993. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. A Customizable Coordination Service for Autonomous Agents. In Wooldridge and Jennings wool-jenn-97, pages 86--99.Google ScholarGoogle Scholar
  12. V.S. Subrahmanian, P. Bonatti, J.Dix, T. Eiter, F. Ozcan and R. Ross. Heterogeneous Agent Systems, MIT Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. D. Turi. Extending S-Models to Logic Programs with Negation, Proc. Eight Intl. Conf. on Logic Programming (ed. K. Furukawa), pp 397--411, 1991.Google ScholarGoogle Scholar
  14. M.J. Wooldridge. Reasoning about Rational Agents, MIT Press.Google ScholarGoogle Scholar
  15. M. Wooldridge and N. Jennings. (1997) Formalizing the Cooperative Problem Solving Process, In M. Huhns and M. Singh (Eds.), Readings in Agents, pp. 430--440. Morgan Kaufmann Press. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. First order heterogeneous agent computations

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Conferences
          AAMAS '03: Proceedings of the second international joint conference on Autonomous agents and multiagent systems
          July 2003
          1200 pages
          ISBN:1581136838
          DOI:10.1145/860575

          Copyright © 2003 ACM

          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 14 July 2003

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • Article

          Acceptance Rates

          Overall Acceptance Rate1,155of5,036submissions,23%

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader