Skip to main content

Teamwork and Simulation in Hybrid Cognitive Architecture

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4252))

Abstract

Agents teamwork is a sub-area of multi-agent systems that is mainly composed of artificial intelligence and distributed computing techniques. Due to its inherent complexity, many theoretical and applied techniques have been applied to the investigation of agent team architecture with respect to coordination, cooperation, and learning skills. In this paper, we discuss agent team architecture and analyse how to adapt the simulation system for investigating agent team architecture, learning abilities, and other specific behaviors.

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. TeamBotsTM Domain: SoccerBots, http://www-2.cs.cmu.edu/~trb/TeamBots/Domains/SoccerBots/

  2. InfoGrames Epic Games and Digital Entertainment. Technical report, Unreal tournament manual (2000)

    Google Scholar 

  3. Humaniod Kid and Medium Size League, Rules and Setup for Osaka 2005. Technical report, Technical report, Robocup (2005)

    Google Scholar 

  4. Berthold, M., Hand, D.J. (eds.): Intelligent Data Analysis. Springer, Heidelberg (1999)

    MATH  Google Scholar 

  5. Bradshaw, J.M., Feltovich, P., Jung, H., Kulkarni, S., Allen, J., Bunch, L., Chambers, N., Galescu, L., Jeffers, R., Johnson, M., Sierhuis, M., Taysom, W., Uszok, A., Van Hoof, R.: Policy-based coordination in joint human-agent activity 2, 2029–2036 (2004)

    Google Scholar 

  6. Chavez, A., Maes, P.: Kasbah: An agent marketplace for buying and selling goods. In: Proceedings of the First International Conference on the Practical Application of Intelligent Agents and Multi-Agent Technology (PAAM 1996), pp. 75–90 (1996)

    Google Scholar 

  7. Cohen, P., Levesque, H., Smith, I.: On Team Formation. Contemporary Action Theory (1998)

    Google Scholar 

  8. Davis, R.: What Are Intelligence? And Why? 1996 AAAI Presidential Address. AI Magazine 19(1), 91–111 (1998)

    Google Scholar 

  9. Dearden, R., Friedman, N., Russell, S.J.: Bayesian Q-Learning. In: AAAI/IAAI, pp. 761–768 (1998)

    Google Scholar 

  10. Gilbert, D., Aparicio, M., Atkinson, B., Brady, S., Ciccarino, J., Grosof, B., O’Connor, P., Osisek, D., Pritko, S., Spagna, R., Wilson, L.: IBM Intelligent Agent Strategy. Technical report, IBM Corporation (1995)

    Google Scholar 

  11. Grand, S., Cliff, D.: Creatures: Entertainment Software Agents with Artificial Life. Autonomous Agents and Multi-Agent Systems 1(2) (1998)

    Google Scholar 

  12. Howden, N., Rönnquist, R., Hodgson, A., Lucas, A.: JACK Intelligent AgentsTM–Summary of an Agent Infrastructure. In: The 5th International Conference on Autonomous Agents, Montreal, Canada (2001)

    Google Scholar 

  13. Jennings, N.R., Wooldridge, M.: Applications of Intelligent Agents, pp. 3–28 (1998)

    Google Scholar 

  14. Jennings, N.R., Sycara, K., Wooldridge, M.: A Roadmap of Agent Research and Development. Autonomous Agents and Multi-Agent Systems 1(1), 7–38 (1998)

    Article  Google Scholar 

  15. Kaelbling, L.P., Littman, M.L., Moore, A.W.: Reinforcement Learning: A Survey. Journal of Artificial Intelligence Research 4, 237–285 (1996)

    Google Scholar 

  16. Mackay, D.J.C.: Information Theory, Inference, and Learning Algorithms. Cambridge University Press, Cambridge (2003)

    MATH  Google Scholar 

  17. Nwana, H.S.: Software Agents: An Overview. Knowledge Engineering Review 11(3), 205–214 (1996)

    Article  Google Scholar 

  18. Olivéira, E.C., Fischer, K., Stepankova, O.: Multi-Agent Systems: Which Research for which Application? Journal of Robotics and Autonomous Systems 27(1-2), 3–13 (1999)

    Article  Google Scholar 

  19. Shoham, Y.: Agent-oriented programming. Artificial Intelligence 60, 51–92 (1993)

    Article  MathSciNet  Google Scholar 

  20. Sioutis, C.: Reasoning and Learning for Intelligent Agents. PhD thesis, School of Electrical and Information Engineering, University of South Australia (2005)

    Google Scholar 

  21. Sioutis, C., Tweedale, J., Urlings, P., Ichalkaranje, N., Jain, L.C.: Teaming Humans and Agents in a Simulated World. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds.) KES 2004. LNCS (LNAI), vol. 3213, pp. 80–86. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  22. Tipping, M.E.: Bayesian Inference: An Introduction to Principles and Practice in Machine Learning. In: Bousquet, O., von Luxburg, U., Rätsch, G. (eds.) Machine Learning 2003. LNCS (LNAI), vol. 3176, pp. 41–62. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  23. Urlings, P., Tweedale, J., Sioutis, C., Ichalkaranje, N.: Intelligent Agents and Situation Awareness. In: Palade, V., Howlett, R.J., Jain, L. (eds.) KES 2003. LNCS, vol. 2774, pp. 723–733. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  24. Wallis, P., Rönnquist, R., Jarvis, D., Lucas, A.: The Automated Wingman - Using JACK for Unmanned Autonomous Vehicles. In: IEEE Aerospace Conference, Big Sky MT (2002)

    Google Scholar 

  25. Wooldridge, M., Jennings, N.: Intelligent Agents: Theory and Practice. Knowledge Engineering Review 10 (1995)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Leng, J., Fyfe, C., Jain, L. (2006). Teamwork and Simulation in Hybrid Cognitive Architecture. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893004_61

Download citation

  • DOI: https://doi.org/10.1007/11893004_61

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46537-9

  • Online ISBN: 978-3-540-46539-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics