Skip to main content

Using Contextual Knowledge for Trust Strategy Selection

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9405))

Abstract

In open multiagent systems in which some of the agents may be self-interested, it is vital that an agent be able to make trust decisions about its peers to determine which of them may be untrustworthy and how to behave in response. The agent’s context, including the environment, observed and inferred actions and motives of other agents, and properties of the MAS as a whole, is critical to making an informed trust decision and especially to choosing a strategy for taking actions. However, most prior work in the area has ignored context or only treated it implicitly. In this paper, we present an implemented approach that explicitly represents the agent’s context, informed by known contexts, and that uses that contextual knowledge to select the best strategy, even in the presence of untrustworthy agents.

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

Buying options

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 EPUB and 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

Learn about institutional subscriptions

Notes

  1. 1.

    In other projects, the corresponding c-schema would automatically be retrieved from memory when no more-specialized ones were found.

  2. 2.

    Other work in our lab looks at how to merge such conflicting contextual knowledge.

  3. 3.

    See [19] for complete details, including the statistical analysis.

References

  1. Bacharach, M., Gambetta, D.: Trust as type detection. In: Castelfranchi, C., Tan, Y.-H. (eds.) Trust and Deception in Virtual Societies, pp. 1–26. Springer, Netherlands (2001)

    Google Scholar 

  2. Blidberg, D.R., Chappell, S.G.: Guidance and control architecture for the EAVE vehicle. IEEE J. Oceanic Eng. (OE) 11(4), 449–461 (1986)

    Article  Google Scholar 

  3. Castelfranchi, C., Tan, Y.: Introduction: why trust and deception are essential for virtual societies. In: Castelfranchi, C., Tan, Y. (eds.) Trust and Deception in Virtual Societies, pp. 17–31. Kluwer, Dordrecht (2001)

    Chapter  Google Scholar 

  4. Cosmides, L., Tooby, J., Fiddick, L., Bryant, G.: Detecting cheaters. Trends Cogn. Sci. 9, 505–506 (2005)

    Article  Google Scholar 

  5. Falcone, R., Castelfranchi, C.: Social trust: a cognitive approach. In: Castelfranchi, C., Tan, Y. (eds.) Trust and Deception in Virtual Societies, pp. 55–90. Kluwer Academic Publishers, Berlin (2001)

    Chapter  Google Scholar 

  6. Guha, R.: Contexts: A Formalization and Some Applications. Ph.D. thesis, Stanford University, 1991. Technical report STAN-CS-91-1399-Thesis, and MCC Technical Report Number ACT-CYC-423-91 (1991)

    Google Scholar 

  7. Iszuierdo, L., Izquierdo, S.: Dynamics of the Bush-Mosteller learning algorithm in 2x2 games. In: Weber, C., Elshaw, M., Mayer, N. (eds.) Reinforcement Learning Theory and Applications, p. 424. I-Tech Education and Publishing, Vienna (2008)

    Google Scholar 

  8. Kolodner, J.L.: Retrieval and Organizational Strategies in Conceptual Memory. Lawrence Erlbaum Associates, Hillsdale (1984)

    Google Scholar 

  9. Lawton, J.H., Turner, R.M., Turner, E.H.: A unified long-term memory system. In: Branting, L.K., Bergmann, R., Althoff, K.-D. (eds.) ICCBR 1999. LNCS (LNAI), vol. 1650, p. 188. Springer, Heidelberg (1999)

    Chapter  Google Scholar 

  10. Mao, W.: Modeling social causality and social judgment in multi-agent interactions. Ph.D. thesis, University of Southern California (2006)

    Google Scholar 

  11. Miller, R.A., Pople, H.E., Myers, J.D.: INTERNIST-1, an experimental computer-based diagnostic consultant for general internal medicine. N. Engl. J. Med. 307, 468–476 (1982)

    Article  Google Scholar 

  12. Mui, L., Mohtashemi, M., Halberstadt, A.: Notions of reputation in multi-agents systems: a review. In: Proceedings of the First International Joint Conference on Autonomous Agents and Multiagent Systems: Part 1. pp. 280–287. AAMAS 2002, ACM, New York (2002). http://doi.acm.org/10.1145/544741.544807

  13. Riley, G.: CLIPS - a tool for building expert systems. On the World Wide Web at http://www.ghg.net/clips/CLIPS.html (Accessed 16 Dec 2004)

  14. Sabater, J., Sierra, C.: Review on computational trust and reputation models. Artif. Intell. Rev. 24(1), 33–60 (2005)

    Article  MATH  Google Scholar 

  15. Santos, Jr., E., Johnson, Jr., G.: Toward detecting deception in intelligent systems. In: Defense and Security, pp. 130–141. International Society for Optics and Photonics (2004)

    Google Scholar 

  16. Shortliffe, E.H.: Computer-Based Medical Consultations: MYCIN. Elsevier, New York (1976)

    Google Scholar 

  17. Turner, R.M.: Context-mediated behavior. In: Brézillon, P., Gonzalez, A. (eds.) Context in Computing: A Cross-Disciplinary Approach for Modeling the Real World Through Contextual Reasoning, pp. 523–540. Springer, New York (2014)

    Google Scholar 

  18. Turner, R., Whitsel, L.: A context-based approach to detecting miscreant behavior and collusion in open multiagent systems. In: Kofod-Petersen, A., Beigl, M., Christiansen, H., Schmidtke, H.R., Coventry, K.R., Roth-Berghofer, T.R. (eds.) CONTEXT 2011. LNCS, vol. 6967, pp. 300–306. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  19. Whitsel, L.T.: A context-based approach to detecting miscreant agent behavior in open multagent systems. Ph.D. thesis, School of Computing and Information Science, University of Maine, University of Maine, Orono, ME 04469 USA, December 2013

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Larry Whitsel .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Whitsel, L., Turner, R.M. (2015). Using Contextual Knowledge for Trust Strategy Selection. In: Christiansen, H., Stojanovic, I., Papadopoulos, G. (eds) Modeling and Using Context. CONTEXT 2015. Lecture Notes in Computer Science(), vol 9405. Springer, Cham. https://doi.org/10.1007/978-3-319-25591-0_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-25591-0_20

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25590-3

  • Online ISBN: 978-3-319-25591-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics