Skip to main content

Adapting Agent Infrastructure for Models of Human Agency

  • Conference paper
Innovative Concepts for Agent-Based Systems (WRAC 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2564))

Included in the following conference series:

  • 427 Accesses

Abstract

Many agent systems seek to emulate human behavior. Using human behavior as a model for agent design can be useful for three reasons. 1) In some domains emulating human behavior may be a requirement. Examples include simulation and training, virtual actors and pedagogues, and computer game opponents. 2) Human knowledge about performance of a task can often be readily transferred to an agent that uses human-like representations. The value of such transfer is apparent for tasks that humans perform. However, it may also be valuable for humans designing other agent systems. 3) Human-like behavior provides natural modes of interaction with human users, improving usability.

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

Access this chapter

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

References

  1. Fellbaum, C. (ed.): WordNet: An Electronic Lexical Database. MIT Press, Cambridge (1998)

    MATH  Google Scholar 

  2. Jones, R.M., Laird, J.E., Neilsen, P.E., Coulter, K.J., Kenny, P., Koss, F.V.: Automated intelligent pilots for combat flight simulation. AI Magazine, 27–41 (Spring 1999)

    Google Scholar 

  3. Laird, J.E., van Lent, M.: Human-level AI’s killer application: Interactive computer games. AI Magazine 22(2), 15–25 (2001)

    Google Scholar 

  4. Newell, A.: Unified Theories of Cognition. Harvard University Press, Cambridge (1990)

    Google Scholar 

  5. Wray, R.E., Beisaw, J.C., Jones, R.M., Koss, F.V., Nielsen, P.E., Taylor, G.E.: General, maintainable, extensible communications for computer generated forces. In: Proceedings of the Eleventh Conference on Computer Generated Forces and Behavioral Representation, Orlando, Florida (May 2002) Institute for Simulation and Training

    Google Scholar 

  6. Wray, R.E., Jones, R.M.: Resolving contentions between initial and learned knowledge. In: Proceedings of the 2001 International Conference on Artificial Intelligence, Las Vegas, NV (June 2001)

    Google Scholar 

  7. Wray, R.E., Laird, J., Jones, R.M.: Compilation of non-contemporaneous constraints. In: Proceedings of the Thirteenth National Conference on Artificial Intelligence, Portland, Oregon, pp. 771–778 (August 1996)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wray, R.E. (2003). Adapting Agent Infrastructure for Models of Human Agency. In: Truszkowski, W., Hinchey, M., Rouff, C. (eds) Innovative Concepts for Agent-Based Systems. WRAC 2002. Lecture Notes in Computer Science(), vol 2564. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45173-0_39

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-45173-0_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40725-6

  • Online ISBN: 978-3-540-45173-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics