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Knowledge Processing and Decision Making in Agent-Based Systems pp 247–273Cite as

Agent Transportation Layer Adaptation System

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 170))

Abstract

Heuristic computing has consolidated into two streams of research. One that personifies software to exhibit human behaviour and an oher that provides innovative software or smart products [1]. The Turing test [2] was pivotal in providing researchers with a generally accepted method of classifying the work that now defines the major problems pursued within Artificial Intelligence (AI). Cognitive Science is one of these fields and Research in Multi-Agent System (MAS) has revealed that Agents must enter into a voluntarily trust relationship in order to collaborate, otherwise the imposed goal(s) may be aborted or fail completely [3, 4]. Current agent architectures present a finite limit to functionality when supporting one or more of these paradigms.

Discussion about a framework being developed at the University of South Australia enables individual students associated with our Knowledge-Based Intelligent Information & Engineering Systems (KES) centre to fast track the development of their research concepts via a Plug ‘n′ Play mechanism within a multi-agent blackboard architecture. This paper highlights the core architecture, we believe is required for MAS developers achieve such flexibility. The research focuses on how agents can be teamed to provide the ability to adapt and dynamically organise the required functionality to automate in a team environment. The model is conceptual and has been designed initially as a blackboard model, where each element represents a block of functionality required to automate a process in order to complete a specific task. Discussion is limited to the formative work within the foundation layers of that framework.

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References

  1. McCorduck, P.: Machines who think, pp. 1–375. Freeman, San Francisco (1979)

    Google Scholar 

  2. Moor, J.H.: Briefly noted: the turing test: The elusive standard of artificial intelligence. Comput. Linguist. 30(1), 115–116 (2004)

    Article  MathSciNet  Google Scholar 

  3. d’Inverno, M., Luck, M.: Understanding agent systems. Springer, New York (2001)

    MATH  Google Scholar 

  4. Wooldridge, M., Jennings, N.R.: The cooperative problem-solving process. Journal of Logic and Computation 9(4), 563–592 (1999)

    Article  MathSciNet  Google Scholar 

  5. Urlings, P.: Teaming Human and Machine. PhD thesis, School of Electrical and Information Engineering, University of South Australia, University of South Australia (2003)

    Google Scholar 

  6. Wooldridge, M.J.: An Introduction to Multiagent Systems. Wiley and Sons, New York (2002)

    Google Scholar 

  7. Ehlert, P., Rothkrantz, L.: Intelligent agents in an adaptive cockpit environment. Technical Report DKE01-01, Version 0.2, Delft University of Technology, the Netherlands (2001)

    Google Scholar 

  8. ISO:IEC: Information Technology - Basic Reference Model. ISO 7498-1. International Standards Organisation, Geneve, Switzerland (1982)

    Google Scholar 

  9. Heinze, C., Goss, S., Josefsonn, T., Bennett, K., Waugh, S., Lloyd, I., Murray, G., Oldfield, J.: Interchanging agents and humans in military simulation. AI Magazine 23(2), 37–48 (2002)

    Google Scholar 

  10. Wooldridge, M., Jennings, N.R.: Theories, architectures, and languages: A survey, intelligent agents. In: Wooldridge, M.J., Jennings, N.R. (eds.) ECAI 1994 and ATAL 1994. LNCS, vol. 890, pp. 1–39. Springer, Heidelberg (1995)

    Google Scholar 

  11. Satchell, P.M.: Cockpit Monitoring and Alerting Systems. Ashgate Publishing Ltd., Aldershot (1993)

    Google Scholar 

  12. Kayten, P.J.: The accident investigatorís perspective. In: Wiener, E.L., Kanki, B.G., Helmreich, R.L. (eds.) Cockpit Resource Management, vol. 10, pp. 283–314. Academic Press, San Diego (1993)

    Google Scholar 

  13. Billings, C.E.: Human-centered aircraft automation: A concept and guidelines. August Technical Memorandum 103885, NASA-Ames Research Center, Moffett Field, CA (1991)

    Google Scholar 

  14. Billings, C.E.: Aviation Automation: The Search for a Human-Centred Approach. Lawrence Erlbaum Associates, Inc., Mahwah (1997)

    Google Scholar 

  15. Wiener, E.L., Curry, R.: Flight-deck automation: Promises and problems. Technical Report NASA TM 81206, NASA, Moffett Field, CA (1982)

    Google Scholar 

  16. Prince, C., Salas, E.: Training and research for teamwork in the military crew. In: Wiener, E.L., Kanki, B.G., Helmreich, R.L. (eds.) Cockpit Resource Management, vol. 12, pp. 336–337 (1993)

    Google Scholar 

  17. Johnston, N.: CRM: Cross-Cultural Perspectives. In: Wiener, E.L., Kanki, B.G., Helmreich, R.L. (eds.) Cockpit Resource Management, vol. 13, pp. 367–398. Academic Press, San Diego (1993)

    Google Scholar 

  18. Hofstede, G.: Cultureís consequences: international differences in work-related values. Sage, Beverly Hills (1980)

    Google Scholar 

  19. Hofstede, G.: Cultures and Organisations: Software of the mind. McGraw-Hill, Maidenhaid (1991)

    Google Scholar 

  20. Bradshaw, J.M., Sierhuis, M., Acquisti, A., Feltovich, P., Hoffman, R., Jeffers, R., Prescott, D., Suri, N., Uszok, A., Van-Hoof, R.: Adjustable autonomy and human-agent teamwork in practice: An interim report on space applications. In: Hexmoor, H., Facone, R., Castelfranchi, C. (eds.) Agent Autonomy, pp. 243–280. Kluwer, Dordrecht (2002)

    Google Scholar 

  21. Franklin, S., Graesser, A.: Is it an agent, or just a program?: A taxonomy for autonomous agents. In: Proceedings of the Third International Workshop on Agent Theories, Architectures and Languages. Budapest, Hungary, Budapest, Hungary, pp. 193–206 (1996)

    Google Scholar 

  22. Bratman, M.E.: Intentions Plans and Practical Reason. Center for the Study of Language and Information (1999)

    Google Scholar 

  23. Russel, S., Norvig, P.: Artificial Intelligence: A Modern Approach, 2nd edn. Prentice-Hall, Inc., Englewood Cliffs (2003)

    Google Scholar 

  24. Jennings, N.R., Wooldridge, M.: Applications of intelligent agents. In: Agent technology: foundations, applications, and markets, Secaucus, NJ, USA. Springer, New York (1998)

    Google Scholar 

  25. Nwana, H.S.: Software agents: An overview. In: McBurney, P. (ed.) The Knowledge Engineering Review, vol. 11(3), pp. 205–244 (1996)

    Google Scholar 

  26. Francik, J., Fabian, P.: Animating sign language in the real time. In: Applied Informatics. In: 20th IASTED International Multi-Conference, Innsbruck, Austria, pp. 276–281 (2002)

    Google Scholar 

  27. Reynolds, C.W.: Flocks, herds, and schools: A distributed behavioral model. Computer Graphics 21(4), 25–34 (1987)

    Article  MathSciNet  Google Scholar 

  28. Tu, X., Terzopoulos, D.: Artificial fishes: Physics, locomotion, perception, behavior. Computer Graphics 28, 43–50 (1994)

    Article  Google Scholar 

  29. Evans, R.: Varieties of learning. In: Rabin, E. (ed.) n AI Game Programming Wisdom, Charles River Media, Hingham MA, vol. 2 (2002)

    Google Scholar 

  30. Rao, A., Georgeff, M.: BDI Agents: From theory to practice. In: Proceedings for the 1st International Conference on Multi-Agent Systems (ICMAS 1995), pp. 312–319. AAAI Press, California (1995)

    Google Scholar 

  31. Carver, N., Lesser, V.: The evolution of blackboard control architectures. Technical Report UM-CS-1992-071, University of Massachusetts (1992)

    Google Scholar 

  32. Kinny, D., Georgeff, M., Rao, A.: A methodology and modelling techniques for systems of bdi agents. In: Perram, J., Van de Velde, W. (eds.) MAAMAW 1996. LNCS, vol. 1038, pp. 56–71. Springer, Heidelberg (1996)

    Chapter  Google Scholar 

  33. Mann, R.: Interpersonal styles and group development. American Journal of Psychology 81, 137–140 (1970)

    Google Scholar 

  34. Held, G.: Basic Telegraph and Telephone Operations, 3rd edn., pp. 23–45. John Wiley and Sons, Georgia (2001)

    Google Scholar 

  35. Cheyer, A., Martin, D.: The open agent architecture. Journal of Autonomous Agents and Multi-Agent Systems 4(1), 143–148 (2001)

    Article  Google Scholar 

  36. Lange, D.B.: Java aglet application programming interface (J-AAPI) white paper - draft 2. Technical report, IBM Tokyo Research Laboratory (1997)

    Google Scholar 

  37. Group, S.D.: Documentation set for swarm 2.2. (accessed August 25, 2005), http://www.swarm.org/swarmdocs-2.2/set/set.html

  38. Gilder, G.: Metcalfes law and legacy. Technical report, Forbes (1993)

    Google Scholar 

  39. Ferber, J., Gutkecht, O., Michel, F.: MadKit development guide (accessed August 25, 2005), http://www.madkit.org/madkit/doc/devguide/devguide.html

  40. AOS: JACK intelligent agents teams manual 4.1 (accessed March 2nd, 2006), http://www.agent-software.com.au/shared/resources/index.html

  41. Tweedale, J., Cutler, P.: Human-Computer Trust in Multi-Agent Systems. In: Proceedings of the 10th International Conference on Knowledge Based Intelligent Information and Engineering Systems (KES 2006), October 9-11, Bournemouth, England (2006)

    Google Scholar 

  42. Rasmussen, J.: Diagnostic reasoning in action. IEEE Transactions on Systems, Man, and Cybernetics 23(4), 981–992 (1993)

    Article  Google Scholar 

  43. Suchman, L.A.: Plans and Situated Actions: The Problem of Human-machine Communication. Cambridge University Press, Cambridge (1987)

    Google Scholar 

  44. Moray, N.: Intelligent aids, mental models, and the theory of machines. Int. J. Man-Mach. Stud. 27(5-6), 619–629 (1987)

    Article  Google Scholar 

  45. Chambers, A.B., Nagel, D.C.: Pilots of the future: Human or computer? Communications of the ACM 28(11), 1187–1199 (1985)

    Article  Google Scholar 

  46. Singh, M.P.: Agent communication languages: Rethinking the principles, Carolina State Uni. (1998)

    Google Scholar 

  47. Steels, L.: Adaption multi-agent learning. In: Alonso, E., Kudenko, D., Kazakov, D. (eds.) AAMAS 2000 and AAMAS 2002. LNCS, vol. 2636, pp. 559–572. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  48. Finin, T., Fritzon, R., McKay, D., McEntire, R.: KQML as an Agent Communication Language. In: Adam, N., Bhargaa, B., Yesha, Y. (eds.) Proceeding of the 3rd international Conference on Information and Knowledge Managment (CIKM 1994), pp. 456–463. ACM Press, New York (1994)

    Chapter  Google Scholar 

  49. Wooldridge, M.: Verifying that agents implement a communication language. In: Joint Sixteenth National Conference on Artificial Intelligence (AAI 1999) and Eleventh Innovative Applications of Artificial Intelligence Conference (IAAI 1999), Orlando, FL, USA, pp. 52–57 (1999)

    Google Scholar 

  50. Labrou, Y., Finin, T., Peng, Y.: The current landscape in agent communication languages. IEEE Intelligent Systems 14(2), 1–11 (1999)

    Article  Google Scholar 

  51. Szarowicz, A., Francik, J., Mittmann, M., Remagnino, P.: Layering and heterogeneity as design principles for animated embedded agents. Inf. Sci. Inf. Comput. Sci. 171(4), 355–376 (2005)

    Google Scholar 

  52. Sioutis, C., Ichalkaranje, N.: Cognitive hybrid reasoning intelligent agent system. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds.) KES 2005. LNCS, vol. 3682, pp. 838–843. Springer, Heidelberg (2005)

    Google Scholar 

  53. Sioutis, C.: Reasoning and Learning for Intelligent Agents. PhD thesis, School of Electrical and Information Engineering, University of South Australia (2006)

    Google Scholar 

  54. Hammond, G.T.: The Mind of War: John Boyd and American Security. Smithsonian Institution Press, Washington (2004)

    Google Scholar 

  55. Rasmussen, J., Pejtersen, A., Goodstein, L.: Cognitive Systems Engineering. Wiley and Sons, New York (1994)

    Google Scholar 

  56. Sioutis, C., Ichalkaranje, N., Jain, L.: A framework for interfacing BDI agents to a real-time simulated environment. In: Abraham, A., Koppen, M., Franke, K. (eds.) Design and Application of Hybrid Intelligent Systems. Frontiers in Artificial Intelligence and Applications, pp. 743–748. IOS Press, Amsterdam (2003)

    Google Scholar 

  57. Tweedale, J., Ichalkaranje, N., Sioutis, C., Jarvis, B., Consoli, A., Phillips-Wren, G.: Innovations in multi-agent systems. Journal of Network Computing Applications 30(3), 1089–1115 (2007)

    Article  Google Scholar 

  58. Adams, D.: Hitchhikerś Gude to the Galaxy. Ballantine Publishing Group, New York (1995)

    Google Scholar 

  59. Wooldridge, M., Jennings, N.: Agent theories, architectures, and languages: A survey. In: Wooldridge, M., Jennings, N.R. (eds.) Intelligent Agents - Theories, Architectures, and Languages, Proceedings of ECAI 1994 Workshop on Agent Theories, Architectures, vol. 890, pp. 403–442. Springer, Heidelberg (1995)

    Google Scholar 

  60. Consoli, A., Tweedale, J.W., Jain, L.: The link between agent coordination and cooperation. In: 10th International Conference on Kowledge Based Intelligent Information and Engineering Systems, Bournemouth, England. LNCS. Springer, Heidelberg (2006)

    Google Scholar 

  61. Cohen, M.S.: A situation specific model of trust to decision aids. Cognitive Technologies (2000)

    Google Scholar 

  62. Tweedale, J., Jain., L.C.: Interoperability with multi-agent systems. Journal of Intelligent and Fuzzy Systems 19(6) (2008)

    Google Scholar 

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Author information

Authors and Affiliations

  1. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, SA 5095, Australia

    Jeffrey Tweedale & Lakhmi C. Jain

  2. Pattern Recognition Group, Leibniz Institute of Plant Genetics and Crop Plant Research, Corrensstraße 3, D-06466, Gatersleben, Germany

    Felix Bollenbeck

  3. Land Operations Division, Defence Science and Technology Organisation, Edinburgh, SA 5111, Australia

    Pierre Urlings

Authors
  1. Jeffrey Tweedale
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  2. Felix Bollenbeck
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  3. Lakhmi C. Jain
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  4. Pierre Urlings
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Editor information

Editors and Affiliations

  1. University of South Australia, Mawson Lakes Campus, South Australia, SA 5095, Adelaide City, Australia

    Lakhmi C. Jain

  2. Institute of Informatics, Wroclaw University of Technology, Str. Janiszewskiego 11/17, 50-370, Wroclaw, Poland

    Ngoc Thanh Nguyen

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Tweedale, J., Bollenbeck, F., Jain, L.C., Urlings, P. (2009). Agent Transportation Layer Adaptation System. In: Jain, L.C., Nguyen, N.T. (eds) Knowledge Processing and Decision Making in Agent-Based Systems. Studies in Computational Intelligence, vol 170. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88049-3_11

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  • DOI: https://doi.org/10.1007/978-3-540-88049-3_11

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  • Print ISBN: 978-3-540-88048-6

  • Online ISBN: 978-3-540-88049-3

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