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Soft Agent Computing: Towards Enhancing Agent Technology with Soft Computing

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Intelligent Systems and Soft Computing

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1804))

Abstract

Soft Agent Computing (SAC) is a new branch of computational intelligence which draws together the ideas of soft computing with the agent paradigm. It is believed this union will deliver technology which inherits the benefits of both and thereby provide solutions which have some of the features of human cognition and the intuitive, system level, abstraction of agent technology. Notwithstanding the attraction of SAC it is recognised that there are many deep technical and philosophical issues yet to be solved. In this paper, we investigate a number of these issues from two different perspectives, agent characteristics and architectural. Then we present different abstraction layers of a SAC architecture and propose and describe a practical SAC system, based on the Beliefs-Desires-Intentions model. Finally, various aspects to be considered when building SAC systems are discussed and a number of potential research areas for further research are recommended.

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References

  1. Wooldridge, N., Jennings, N.: Intelligent Agents: Theory and Practice. The Knowledge Engineering Review 10(2), 115–152 (1995)

    Article  Google Scholar 

  2. Nwana, H.: Software Agents: An Overview. The Knowledge Engineering Review 11(3) (1996)

    Google Scholar 

  3. Muller, J.P., Pischel, M.: Integrating Agent Interaction into a Planner-Reactor Achitecture. In: Proceedings of the 1994 Distributed AI Workshop, Lake Quinalt, WA, pp. 250–264 (1994)

    Google Scholar 

  4. Zadeh, L.A.: Fuzzy Logic, Neural Networks and Soft Computing. Comm. of ACM 37(3), 77–84 (1994)

    Article  MathSciNet  Google Scholar 

  5. Azvine, B., Azarmi, N., Tsui, K.: Soft Computing: A Tool for Building Intelligent Systems. BT Technol. J. 14(4), 37–45 (1996)

    Google Scholar 

  6. Zadeh, L.A.: The Roles of Fuzzy Logic and Soft Computing in the Conception: Design and Deployment of Intelligent Systems. BT Technol. J. 14(4), 32–36 (1996)

    Google Scholar 

  7. Demolombe, R.: Co-operative Answering from Computerised databases. CEC Project GOAL Deliverable D4, Department of Computing, Imperial College (1993)

    Google Scholar 

  8. Bosc, P., Pivert, O.: About Equivalencies in SQLf, A relational Language Supporting Imprecise Querying. In: Proc. IFES 1991 (1991)

    Google Scholar 

  9. Allen, J., Litman, D.: Plans, Goals, and Natural Language, Technical Report, University of Rochester (1986)

    Google Scholar 

  10. O’Brien, P., Wiegand, M.: Agents of Change in Business Process Management. BT Technol. J. 14(4), 133–140 (1996)

    Google Scholar 

  11. Etzioni, X., Weld, O.: A Softbot Interface to the Internet. Intelligent Agents, CACM 37(7) (1994)

    Google Scholar 

  12. Alterman, R.: Adaptive Planning. Cognitive Science 12, 393–422 (1988)

    Article  Google Scholar 

  13. Hammond, K.: Case-based Planning: Viewing Planning as a Memory Task. Academic Press, London (1989)

    Google Scholar 

  14. Wooldridge, N.: Agents and Scheduling. In: Proc. PAAM 1996 (1996)

    Google Scholar 

  15. Booch, G.: Coming of Age in an Object-Oriented World. IEEE Software (November 1994)

    Google Scholar 

  16. Watt, S.: Artificial Societies and Psychological Agents. BT Technol. J. 14(4), 89–97 (1996)

    MathSciNet  Google Scholar 

  17. Franklin, S., Graesser, A.: Is it an Agent, or just a Program?: A Taxonomy for Autonomous Agents. In: Proc. Third International Workshop on Agent Theories, Architectures, and Languages. Springer, Heidelberg (1996)

    Google Scholar 

  18. Nwana, H., Ndumu, D.: An Introduction to Agent Technology. BT Technol. J. 14(4), 55–67 (1996)

    Google Scholar 

  19. Smith, R.: Invited Lecture. In: PAAM 1996 (1996)

    Google Scholar 

  20. Georgeff, M., Lansky, A.L.: Reactive Reasoning and Planning. In: Proceedings of the Sixth National Conference on Artificial Intelligence, Seattle, Washington, pp. 677–682 (1987)

    Google Scholar 

  21. Rao, A.S., Georgeff, M.P.: Modeling Rational Agents Within a BDI-architecture. In: Proceedings of the Second International Conference on Principles of Knowledge Representation and Reasoning. Morgan Kaufmann Publishers, San Mateo (1991)

    Google Scholar 

  22. Lee, J., Durfee, E.H.: Structured Circuit Semantics for Reactive Plan Execution Systems. In: Proceedings of the Twelfth National Conference on Artificial Intelligence, pp. 1232–1237 (1994)

    Google Scholar 

  23. Wilkins, D.E., Myers, K.L.: A Common Knowledge Representation for Plan Generation and Reactive Execution. Journal of Logic and Computation 5(6), 731–761 (1995)

    Article  MATH  Google Scholar 

  24. Myers, K.L., Wilkins, D.E.: The Act Formalism, Version 2.2, SRI International Artificial Intelligence Center Technical Report, Menlo Park, CA (1997)

    Google Scholar 

  25. Huber, M.J., Lee, J., Kenny, P., Durfee, E.H.: UM-PRS Programmer and User Guide. The University of Michigan, Ann Arbor (1993) MI 48109, see http://members.home.net/marcush/IRS

  26. Lee, J., Huber, M.J., Durfee, E.H., Kenny, P.G.: UM-PRS: An Implementation of the Procedural Reasoning System for Multirobot Applications. In: Conference on Intelligent Robotics in Field, Factory, Service, and Space (CIRFFSS 1994), Houston, Texas, pp. 842–849 (1994)

    Google Scholar 

  27. Myers, K.L.: User Guide for the Procedural Reasoning System, SRI International AI Center Technical Report, SRI International, Menlo Park, CA (1997)

    Google Scholar 

  28. Gray, R.S., Kotz, D., Cybenko, G., Rus, D.: Agent Tcl. In: Cockayne, W., Zyda, M. (eds.) Mobile Agents. Manning Publishing (1997)

    Google Scholar 

  29. Laird, J.E., Newell, A., Rosenbloom, P.S.: SOAR: An Architecture for General Intelligence. AI Journal, 1–64 (1987)

    Google Scholar 

  30. Shoham, Y.: Agent-oriented Programming. Artificial Intelligence 60(1), 51–92 (1993)

    Article  MathSciNet  Google Scholar 

  31. Shoham, Y.: AGENT0: A Simple Agent Language and Its Interpreter. In: Proceedings of the Ninth National Conference on Artificial Intelligence, Anaheim, California, pp. 704–709 (1991)

    Google Scholar 

  32. Thomas, R.S.: The PLACA Agent Programming Language. In: Wooldridge, M., Jennings, N.R. (eds.) Intelligent Agents - Theories, Architectures, and Languages, pp. 356–370. Springer, Heidelberg (1995)

    Google Scholar 

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

    Google Scholar 

  34. Ferguson, I.A.: TouringMachines: An Architecture for Dynamic, Rational Mobile Agents, Ph.D. Thesis, University of Cambridge, UK (1992)

    Google Scholar 

  35. Gat, E.: Integrating Planning and Acting in a Heterogeneous Asynchronous Architecture for Controlling Real-World Mobile Robots. In: Proceedings of the Tenth National Conference on Artificial Intelligence, San Jose, CA, pp. 809–817 (1992)

    Google Scholar 

  36. Huber, M.J.: A BDI-theoretic Mobile Agent Architecture. In: Proceedings of the Third International Conference on Autonomous Agents (Agents 1999), Seattle, WA (May 1999)

    Google Scholar 

  37. Lenat, D., Guha, R.: Building Large Knowledge-Based Systems: Representation and Inference in the CYC Project. Addison-Wesley, Reading (1990)

    Google Scholar 

  38. Brooks, R.: A Robust Layered Control System for a Mobile Robot. IEEE Journal of Robotics and Automation 2, 14–23 (1986)

    Article  MathSciNet  Google Scholar 

  39. Aleksander, I., Evans, R.G., Sales, N.J.: Towards intentional neural systems: Experiments with MAGNUS. In: Proc.IEE Fourth Intl. Conf. on Artificial Neural Networks, Cambridge, UK (1995)

    Google Scholar 

  40. Fritzson, R., Finin, T., McKay, D., McEntire, R.: KQML - A Language and Protocol for Knowledge and Information Exchange. In: 13th International Distributed AI Workshop, Seattle (1994)

    Google Scholar 

  41. Eichmann, D.: Ethical Web Agents. In: 2nd WWW Conference (1996)

    Google Scholar 

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Authors and Affiliations

  1. Intelligent & Interactive Systems(IIS), Department of Electrical & Electronic Engineering, Imperial College of Science, Technology & Medicine- Exhibition Road, London, SW7 2BZ, UK

    Abe Mamdani, Arash G. Sichanie & Jeremy Pitt

Authors
  1. Abe Mamdani
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  2. Arash G. Sichanie
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  3. Jeremy Pitt
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Editor information

Editors and Affiliations

  1. BTexac - BT Advanced Communication Technology Centre Adastral Park, Martlesham, IP5 3RE, Ipswich, UK

    Benham Azvine

  2. Intelligent Systems Research Centre, BT Group plc, Adastral Park, IP5 3RE, Ipswich, United Kingdom

    Detlef D. Nauck

  3.  ,  

    Nader Azarmi

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© 2000 Springer-Verlag Berlin Heidelberg

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Mamdani, A., Sichanie, A.G., Pitt, J. (2000). Soft Agent Computing: Towards Enhancing Agent Technology with Soft Computing. In: Azvine, B., Nauck, D.D., Azarmi, N. (eds) Intelligent Systems and Soft Computing. Lecture Notes in Computer Science(), vol 1804. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10720181_5

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  • DOI: https://doi.org/10.1007/10720181_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67837-3

  • Online ISBN: 978-3-540-44917-1

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