Skip to main content

Designing Agents with MicroPsi Node Nets

  • Conference paper
KI 2003: Advances in Artificial Intelligence (KI 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2821))

Included in the following conference series:

Abstract

The MicroPsi agent architecture, which is based mainly on the Psi theory of Dietrich Dörner, describes the interaction of emotion, motivation and cognition of situated agents. The underlying theory has been formulated within the context of psychology but captures numerous aspects of interest for cognitive science, psychological modeling, social simulation and human-machine interaction. MicroPsi is an attempt to formulate this theory in a more abstract and formal way and to make necessary extensions to allow for the implementation of agents for a range of applications. This contribution describes some components of the architecture and introduces a node net formalism, which serves as the primary means of representation, behavior control and modeling of MicroPsi agents.

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 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

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. Anderson, J.R., Lebière, C.: Atomic Components of Thought. Lawrence Erlbaum, Hillsdale (1998)

    Google Scholar 

  2. Bach, J.: Enhancing Perception and Planning of Software Agents with Emotion and Acquired Hierarchical Categories. In: Proceedings of MASHO 2002, German Conference on Artificial Intelligence KI 2002, pp. 3–12 (2002)

    Google Scholar 

  3. Bach, J.: Emotionale Virtuelle Agenten auf der Basis der Dörnerschen Psi-Theorie. In: Burkhard, H.-D., Uthmann, T., Lindemann, G. (eds.) ASIM 2003, Workshop Modellierung und Simulation menschlichen Verhaltens, Berlin, Germany, pp. 1–10 (2003)

    Google Scholar 

  4. Bach, J.: The MicroPsi Agent Architecture. In: To appear at ICCM 03, International Conference on Cognitive Modeling, Bamberg, Germany (2003)

    Google Scholar 

  5. Bach, J.: Artificial Emotion Project/MicroPsi (2003), Home Page: http://www.artificial-emotion.de

  6. Bates, J., Loyall, A.B., Reilly, W.S.: Broad agents. AAAI spring symposium on integrated intelligent architectures. Sigart Bulletin, Stanford, CA 2(4), 38–40 (August 1991)

    Google Scholar 

  7. Bratman, M.E.: Intention, Plans, and Practical Reason. Harvard University Press, Cambridge (1987)

    Google Scholar 

  8. d’Iverno, M., Kinny, D., Luck, M., Wooldridge, M.: A Formal Specification of dMARS. In: Rao, A., Singh, M.P., Wooldridge, M.J. (eds.) ATAL 1997. LNCS(LNAI), vol. 1365, pp. 155–176. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  9. Dörner, D.: Bauplan für eine Seele. Rowohlt, Reinbeck (1999)

    Google Scholar 

  10. Dörner, D., & Schaub, H.: Das Leben von PSI. Über das Zusammenspiel von Kognition, Emotion und Motivation (1998), http://www.unibamberg.de/ppp/insttheopsy/psi-literatur.html

  11. Dörner, D., Bartl, C., Detje, F., Gerdes, J., Halcour, D., Schaub, H., Starker, U.: Die Mechanik des Seelenwagens. Eine neuronale Theorie der Handlungsregulation. Verlag Hans Huber, Bern (2002)

    Google Scholar 

  12. Feldman, J.A., Bailey, D.: Layered Hybrid Connectionist Models for Cognitive Science. In: Sun, R., Wermter, S. (eds.) Hybrid Neural Systems 1998. LNCS, vol. 1778, pp. 14–27. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  13. Franklin, S.: Action Selection and Language Generation in ‘Conscious’ Software Agents. In: Proc. Workshop on Behavior Planning for Life-Like Characters and Avatars, i3 Spring Days 1999, Sitges, Spain (1999)

    Google Scholar 

  14. Georgeff, M.P., Ingrand, F.F.: Research on Procedural Reasoning Systems. Technical Report, AI Center, SRI International, Menlo Park, CA Good, I. J. (1961), A Causal Calculus. British Journal of the Philosophy of Science 11, 305–318 (1988)

    Google Scholar 

  15. Goldberg, A.E.: Constructions: A Construction Grammar Approach to Argument Structure. University of Chicago Press, Chicago (1995)

    Google Scholar 

  16. Klix, F.: Über Wissensrepräsentation im Gedächtnis. In: Klix, F. (ed.): Gedächtnis, Wissen, Wissensnutzung. Deutscher Verlag der Wissenschaften, Berlin (1984)

    Google Scholar 

  17. Künzel, J.: PSI-Lingua, Erste Schritte zur Sprachentwicklung bei einem künstlichen Agenten. In: Burkhard, H.-D., Uthmann, T., Lindemann, G. (eds.) ASIM 2003, Workshop Modellierung und Simulation menschlichen Verhaltens, Berlin, Germany, pp. 68–76 (2003)

    Google Scholar 

  18. Laird, J.E., Newell, A., Rosenbloom, P.S.: SOAR: An Architecture for General Intelligence. Artificial Intelligence 33, 1–64 (1987)

    Article  Google Scholar 

  19. Lenz, M., Burkhard, H.-D.: Case retrieval nets: Basic ideas and extensions. Technical report, Humboldt University, Berlin (1998)

    Google Scholar 

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

    Google Scholar 

  21. Rao, A.S., Georgeff, M.P.: Decision procedures for BDI logics. Journal of Logic and Computation 8 (1998)

    Google Scholar 

  22. Schmidt, B.: PECS. Die Modellierung menschlichen Verhaltens. SCS Europe Publishing House, Ghent (2000)

    Google Scholar 

  23. Shachter, R.D.: Evaluating influence diagrams. Operations Research 34, 871–882 (1986)

    Article  MathSciNet  Google Scholar 

  24. Sloman, A.: Towards an information processing theory of emotions (1992), http://www.cs.bham.ac.uk/~axs/cog_affect/Aaron.Sloman_IP.Emotion.Theory.ps.gz

  25. Sloman, A.: Semantics in an intelligent control system. Philosophical Transactions of the Royal Society: Physical Sciences and Engineering 349(1689), 43–58 (1994)

    Article  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

Bach, J., Vuine, R. (2003). Designing Agents with MicroPsi Node Nets. In: Günter, A., Kruse, R., Neumann, B. (eds) KI 2003: Advances in Artificial Intelligence. KI 2003. Lecture Notes in Computer Science(), vol 2821. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39451-8_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-39451-8_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20059-8

  • Online ISBN: 978-3-540-39451-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics