Nothing Special   »   [go: up one dir, main page]

Skip to main content

Abstract

There is a need for an integrative approach to the design of agent architectures that considers both issues of individual agency and agent interaction. Image Theory, a well-established framework for analyzing and understanding the activities of decision-makers (DM), is applied to provide conceptual guidelines for establishing inter-agent communication; independent agent deliberation, and the evolution or modification of individual agent behavior. This paper presents Image Theory and examines its implications on the design of individual agents and societies of agents. After presenting the relevant aspects of Image Theory, we suggest a number of agent design principles derived from the theory, as well as some practical implications of these principles.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover 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.

Similar content being viewed by others

References

  • Argyris, C. and D. Schon. Organizational Learning, Addison-Wesley (1978).

    Google Scholar 

  • Beach, R. and T. Mitchell, “Cost Benefit Theory of Decision Making,” Academy of Management Review (1978).

    Google Scholar 

  • Beach, R. and T. Mitchell, “Image Theory,” Academy of Management Review (1987).

    Google Scholar 

  • Boland, R.J., R. Tenkasi, and D. Te’eni, “Richness of Communication in Interdependent Decision Making,” Organizational Science (1994).

    Google Scholar 

  • Boland, R.J., D.G. Schwartz, R. Tenkasi, A. Maheshwari, and D. Te’eni, “Sharing Perspectives in Distributed Decision Making,” Proceedings of CSCW-92, Conference on Computer Supported Cooperative Work, ACM Press (Nov. 1992).

    Google Scholar 

  • Gasser, L. “Social Concepts of Knowledge and Action: DAI foundations and open systems semantics,” Artificial Intelligence 47, 1–3 (January 1991): 107–138.

    Article  MathSciNet  Google Scholar 

  • Georgeff, M.P. and A. L. Lansky, “Reactive reasoning and planning,” Proceedings of the Sixth National Conference on Artificial Intelligence (AAAI-87), Seattle, WA. (1987):677–682

    Google Scholar 

  • Gibson, J.L., J.M. Ivancevich, and J H. Donnelly Jr. Organizations: Behavior, Structure, Processes, Dallas: Business Publications (1979).

    Google Scholar 

  • Hewitt, C. “Open Information Systems Semantics for Distributed Artificial Intelligence,” Artificial Intelligence 47, 1–3 (January 1991):79–106.

    Article  MathSciNet  Google Scholar 

  • Schwartz D.G. Cooperating Heterogeneous Systems, Boston: Kluwer (1995).

    Book  Google Scholar 

  • Star, S. L. “The Structure of Ill-Structured Solutions: Boundary Objects and Heterogeneous Distributed Problem Solving,” in L. Gasser and M. Huhns (eds.), Distributed Artificial Intelligence, Volume II, Morgan-Kaufmann. (1989):37–54.

    Google Scholar 

  • Sycara, K P. and C.M. Lewis. “Cooperation of Heterogeneous Agents Through the Formation of Shared Mental Models” Workshop in Cooperation Among Heterogeneous Intelligent Agents (July 1991).

    Google Scholar 

  • Werner, E. “Cooperating Agents: A Unified Theory of Communication and Social Structure,” in L. Gasser and M. Huhns (eds.), Distributed Artificial Intelligence, Volume II, Morgan-Kaufmann (1989): 1–36.

    Google Scholar 

  • Woolridge, M. and N.R. Jennings, “Intelligent Agents: Theory and Practice,” Knowledge Engineering Review 10, 2 (June 1995).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1996 Kluwer Academic Publishers

About this chapter

Cite this chapter

Schwartz, D.G., Te’eni, D. (1996). Imaginal Agents. In: Ein-Dor, P. (eds) Artificial Intelligence in Economics and Managment. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-1427-1_4

Download citation

  • DOI: https://doi.org/10.1007/978-1-4613-1427-1_4

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4612-8620-2

  • Online ISBN: 978-1-4613-1427-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics