Skip to main content

A Framework for Truth Maintenance in Multi-Agent Systems

  • Conference paper
  • 2350 Accesses

Part of the Operations Research Proceedings book series (ORP,volume 2006)

Abstract

Maintaining logical consistency in a knowledge base that receives asynchronous events from collaborative agents poses a challenge, due to multiple agent perspectives of the knowledge base. Facades and filters further complicate this problem by distorting the definition of consistent knowledge. Therefore, maintaining logical consistency of the knowledge base requires an infrastructure for handling truth maintenance. This paper presents a generic, object-oriented framework for truth maintenance in collaborative multi-agent systems. The core of the framework is an agent that autonomously reasons on system events, thus guaranteeing the integrity of the knowledge base independent of external agents. Specialization to a particular domain is achieved through the description of tests that verify the consistency of the knowledge base. This paper shows an example of this approach in a real-world, multi-agent system and discusses performance and maintainability in such a system.

Keywords

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (Canada)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bertel S, Freksa C, Vrachliotis G (2004) Aspectualize and conquer in architectural design. In: Gero JS, Tversky B, Knight T (eds) Visual and Spatial Reasoning in Design III. Key Centre of Design Computing and Cognition; University of Sydney 255–279

    Google Scholar 

  2. Doyle J (1979) A truth maintenance system. Artificial Intelligence 12(3):231–272

    CrossRef  Google Scholar 

  3. Elkan C (1990) A rational reconstruction of nonmonotonic truth maintenance systems. Artificial Intelligence 43(2):219–234

    CrossRef  Google Scholar 

  4. Ephrati E, Rosenschein JS (1994) Divide and conquer in multi-agent planning. AAAI’ 94: Proceedings of the twelfth national conference on artificial intelligence 1:375–380

    Google Scholar 

  5. Huhns MN, Bridgeland DM (1991) Multiagent truth maintenance. IEEE Transactions on Systems, Man, and Cybernetics 21(6):1437–1445

    CrossRef  Google Scholar 

  6. Taylor D, Weber B, Bojduj B (2006) A tabu search framework for dynamic combinatorial optimization problems. Proceedings, Integrated Design and Process Technology, IDPT-2006 663–668

    Google Scholar 

  7. Yokoo M (2001) Distributed constraint satisfaction: foundations of cooperation in multi-agent systems. Springer-Verlag, London

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Bojduj, B., Weber, B., Taylor, D. (2007). A Framework for Truth Maintenance in Multi-Agent Systems. In: Waldmann, KH., Stocker, U.M. (eds) Operations Research Proceedings 2006. Operations Research Proceedings, vol 2006. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69995-8_65

Download citation

Publish with us

Policies and ethics