Skip to main content
SpringerLink
Log in

Trustworthiness of Information Sources and Information Pedigrees

  • Conference paper
  • First Online:
Book cover Intelligent Agents VIII (ATAL 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2333))

Included in the following conference series:

Abstract

To survive, and indeed thrive, in an open heterogenous information sharing environment, an agent’s ability to evaluate the trustworthiness of other agents becomes crucial. In this paper, we investigate a procedure for evaluating an agent’s trustworthiness as an information source. By separating the procedure into competency analysis and sincerity analysis, we are able to deal with complicated cases involving the passing-on of information, where the same information may reach a receiver agent via different routes. In order to keep information about the source agent we use an information pedigree as a means to maintain the history of communicated information. Our evaluation of trustworthiness can be employed to drive data fusion, weighted knowledge base merging, and multiple source conflict resolution.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • 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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. John Cantwell. Resolving conflicting information. Journal of Logic, Language, and Information, 7:191–220, 1998.

    Article  MATH  MathSciNet  Google Scholar 

  2. Cristiano Castelfranchi and Rino Falcone. Principles of trust for mas: Cognitive anatomy, social importance, and quantification. In Y Demazeau, editor, the Third International Conference on Multi-Agent Systems, pages 72–79, Los Alamitos, 1998. IEEE Computer Society.

    Google Scholar 

  3. R. Demolombe. To trust information sources: a proposal for a modal logical framework. In C. Castelfranchi and Y-H. Tan, editors, the First International Workshop on Deception, Fraud and Trust in Agent Societies, Minneapolis/St Paul, USA, 1998.

    Google Scholar 

  4. Bruce Edmonds. Modelling socially intelligent agents. Applied Artificial Intelligence, 12:677–699, 1998.

    Article  Google Scholar 

  5. G Elofson. Developing trust with intelligent agents: An exploratory study. In C. Castelfranchi and Y-H. Tan, editors, the First International Workshop on Deception, Fraud and Trust in Agent Societies, pages 125–139, Minneapolis/St Paul, USA, 1998.

    Google Scholar 

  6. Peter Gärdenfors. Knowledge in Flux-Modeling the Dynamics of Epistemic States. The MIT Press, London, 1988.

    Google Scholar 

  7. Piotr J. Gmytrasiewicz and Edmund H. Durfee. Toward a theory of honesty and trust among communicating autonomous agents. Group Decision and Negotiation, 2:237–258, 1993.

    Article  Google Scholar 

  8. John Hardwig. The role of trust in knowledge. Journal of Philosophy, 88:693–708, 1991.

    Article  Google Scholar 

  9. N. R. Jennings. On being responsible. In E. Werner and Y. Demazeau, editors, Decentralized AI 3 — Proceedings of the Third European Workshop on Modelling Autonomous Agents and Multi-Agent Worlds (MAAMAW-91), pages 93–102, Amsterdam, The Netherlands, 1992. Elsevier Science Publishers.

    Google Scholar 

  10. N. R. Jennings. On agent-based software engineering. Artificial Intelligence, 117(2):277–296, 2000.

    Article  MATH  MathSciNet  Google Scholar 

  11. Catholijn M. Jonker and Jan Treur. Formal analysis of models for the dynamics of trust based on experiences. In Francisco J. Garijo and Magnus Boman, editors, the 9th European Workshop on Modelling Autonomous Agents in a Multi-Agent World: Multi-Agent System Engineering (MAAMAW-99), volume 1647, pages 221–231, Berlin, 1999. Springer-Verlag: Heidelberg, Germany.

    Google Scholar 

  12. Wei Liu and Mary Anne Williams. A framework for multi-agent belief revision (part i: The role of ontology). In Norman Foo, editor, 12th Australian Joint Conference on Artificial Intelligence, Lecture Notes in Artificial Intelligence, Sydney, Australia, 1999. Springer-Verlag.

    Google Scholar 

  13. Wei Liu and Mary Anne Williams. A framework for multi-agent belief revision (part ii: A layered model and shared knowledge structure). In Electronic Transactions on Artificial Intelligence, Uncertainty Frameworks in NMR2000, http://www.ida.liu.se/ext/etai/ufn/received/sframe.html, 2000.

  14. Wei Liu and Mary Anne Williams. A framework for multi-agent belief revision. Studia Logica, 67(2):291–312, 2001.

    Article  MATH  MathSciNet  Google Scholar 

  15. Pierre Marquis and Nadège Porquet. Decomposing propositional knowledge bases through topics. In Partial Knowledge And Uncertainty: Independence, Conditioning, Inference, Rome, Italy, 2000.

    Google Scholar 

  16. Stephen Paul Marsh. Formalising Trust as a Computational Concept. For the degree of doctor of philosophy, University of Stirling, 1994.

    Google Scholar 

  17. Glenn Shafer, editor. A Mathematical Theory of Evidence. Prinston University Press, New Jersey, 1976.

    MATH  Google Scholar 

  18. Mary Anne Williams. Transmutation of knowledge systems. In J. Doyle, E. Sandewall, and P. Torasso, editors, 4th International Conf. on Principles of Knowledge Representation and Reasoning, pages 619–629. Morgan Kaufmann Publishers, 1994.

    Google Scholar 

  19. Mary Anne Williams and Aidan Sims. Saten: An object-oriented web-based revision and extraction engine. In International Workshop on Nonmonotonic Reasoning (NMR’2000)., Online Computer Science Abstract: http://arxiv.org/abs/cs.AI/0003059/, 2000.

Download references

Author information

Author notes

  1. Wei Liu

    Present address: School of Computer Science and Information Technology, RMIT University, Melbourne, VIC, 3000, Australia

Authors and Affiliations

  1. Business and Technology Research Laboratory, The University of Newcastle, Newcastle, NSW, 2308, Australia

    Wei Liu & Mary-Anne Williams

Authors
  1. Wei Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mary-Anne Williams
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Institute of Information and Computing Sciences Intelligent Systems Group, Utrecht University, Padualaan 14 De Uithof, 3508 TB, Utrecht, The Netherlands

    John-Jules Ch. Meyer

  2. Information Sciences Institute, University of Southern California, Henry Salvatori Computer Center 232, Los Angeles, CA, 90089-0781, USA

    Milind Tambe

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Liu, W., Williams, MA. (2002). Trustworthiness of Information Sources and Information Pedigrees. In: Meyer, JJ.C., Tambe, M. (eds) Intelligent Agents VIII. ATAL 2001. Lecture Notes in Computer Science(), vol 2333. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45448-9_21

Download citation

  • DOI: https://doi.org/10.1007/3-540-45448-9_21

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43858-8

  • Online ISBN: 978-3-540-45448-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation