Skip to main content

The Distributed Weighing Problem: A Lesson in Cooperation Without Communication

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3550))

Abstract

Cooperative problem solving without communication is an often-studied field within multi-agent research. Realistic problems investigated in this particular field are complex and difficult to model, and therefore not suitable for education. This paper presents the distributed weighing problem as a novel problem to be used for educational purposes within the domain of cooperation without communication. An example agent-based architecture is developed of which parts can be provided to students as a starting-point for practical exercises in cooperative problem solving without communication. Two example strategies are discussed and implemented using this example architecture. Moreover, it is shown how such strategies can be tested and formally validated against a number of desired properties. The educational benefits of the distributed weighing problem are presented as observed in a course for 6 groups of each 3 students.

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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bavelas, A.: The five squares problem - An instructional aid in group cooperation. Studies in Personnel Psychology, vol. 5, pp. 29–38

    Google Scholar 

  2. Bosse, T., Jonker, C.M., van der Meij, L., Treur, J.: LEADSTO: a Language and Environment for Analysis of Dynamics by SimulaTiOn. In: Eymann, T., Klügl, F., Lamersdorf, W., Klusch, M., Huhns, M.N. (eds.) MATES 2005. LNCS (LNAI), vol. 3550, pp. 165–178. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  3. Brazier, F.M.T., Jonker, C.M., Treur, J.: Principles of Component-Based Design of Intelligent Agents. Data and Knowledge Engineering 41, 1–28 (2002)

    Article  MATH  Google Scholar 

  4. Corkill, D., Lesser, V.: The use of meta-level control for coordination in a distributed problem solving network. In: Proceedings of the Eighth International Joint Conference on Artificial Intelligence, Karlsruhe, Germany, pp. 748–756 (August 1983)

    Google Scholar 

  5. Dignum, F.: Agent Communication and Cooperative Information Agents. In: Klusch, M., Kerschberg, L. (eds.) CIA 2000. LNCS (LNAI), vol. 1860, pp. 191–207. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  6. Dijkstra, E.W.: Co-operating Sequential Processes. In: Genuys, F. (ed.) Programming Languages. Academic Press, London (1965)

    Google Scholar 

  7. Doran, J.E., Franklin, S., Jennings, N.R., Norman, T.J.: On Cooperation in Multi-Agent Systems. The Knowledge Engineering Review (3), 309–314 (1997)

    Google Scholar 

  8. Fagin, R., Halpern, J.Y., Moses, Y., Vardi, M.Y.: Reasoning About Knowledge. The MIT Press, Cambridge (1995)

    MATH  Google Scholar 

  9. Genesereth, M.R., Ginsberg, M.L., Rosenschein, J.S.: Cooperation Without Communication. In: The National Conf. on AI, Philadelphia, PA, pp. 51–57 (August 1986)

    Google Scholar 

  10. Goodstein, R.L.: Find the penny. Mathematical Gazette, pp. 227-229 (December 1945)

    Google Scholar 

  11. Grossman, H.D.: The Twelve-Coin Problem. Scripta Mathematica, vol. 11, pp. 360–363 (December 1945)

    Google Scholar 

  12. Jonker, C.M., Treur, J., Wijngaards, W.C.A.: A Temporal Modelling Environment for Internally Grounded Beliefs, Desires and Intentions. Cognitive Systems Research Journal 4(3), 191–210 (2003)

    Article  Google Scholar 

  13. Rosenschein, J., Genesereth, M.: Deals among rational agents. In: Proc. of the Ninth Int. Joint Conference on Artificial Intelligence, LA, California, pp. 91–99 (August 1985)

    Google Scholar 

  14. Schut, M.C., Kentrop, M., Leenaarts, M., Melis, M., Miller, I.: APPROACH: Decentralised Rotation Planning for Container Barges. In: Lopez de Mataras, R., Saitta, L. (eds.) Proceedings of the Sixteenth European Conference on Artificial Intelligence (ECAI 2004), pp. 755–759. IOS Press, Amsterdam (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Bosse, T., Hoogendoorn, M., Jonker, C.M. (2005). The Distributed Weighing Problem: A Lesson in Cooperation Without Communication. In: Eymann, T., Klügl, F., Lamersdorf, W., Klusch, M., Huhns, M.N. (eds) Multiagent System Technologies. MATES 2005. Lecture Notes in Computer Science(), vol 3550. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11550648_17

Download citation

  • DOI: https://doi.org/10.1007/11550648_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28740-7

  • Online ISBN: 978-3-540-28741-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics