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Cognitive Architectures — From Knowledge Level To Structural Coupling

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The Biology and Technology of Intelligent Autonomous Agents

Part of the book series: NATO ASI Series ((NATO ASI F,volume 144))

Abstract

This chapter investigates the relation between the two key aspects of intelligent agents: intelligence and agent-hood. Efforts for building general architectures for intelligent agents have typically focussed on one of these aspects. The chapter first, reviews some work on cognitive architectures for intelligence and illustrates how these are being applied to physical agents. Secondly, this chapter puts forward a series of hypotheses on the relationship between cognition and agent-hood. These hypotheses are aimed at a unified treatment of behavior and cognition. Central to this discussion in the notion of coordination. In particular the nature and role of representations, internal and external, are explained in relation to their coordinating role

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References

  1. J.R. Anderson. The Architecture of Cognition. Harvard University Press, Cambridge, MA, 1983

    Google Scholar 

  2. J. Blythe and T. Mitchell. On becoming reactive. In Proceedings 6th International Conference on Machine Learning, pp. 255–257. Morgan Kaufmann, 1989

    Google Scholar 

  3. P. Brazdil, M. Gams, S. Sian, L. Torgo, and W. Van de Velde. Learning in distributed systems and multi-agent environments. In Y. Kodratoff (ed.), Machine Learning-EWSL-91, pp. 412–423, Berlin, 1991. Springer-Verlag

    Chapter  Google Scholar 

  4. W. J. Clancey. Heuristic classification. Artificial Intelligence, 27: 289–350, 1985

    Article  Google Scholar 

  5. W. J. Clancey. Model construction operators. Artificial Intelligence, 53 (1): 1–115, 1992

    Article  MathSciNet  Google Scholar 

  6. J.H. Gennari, P. Langley, and D. Fisher. Models of incremental concept formation. Artificial Intelligence, (40): 11–61, 1989

    Google Scholar 

  7. J. E. Laird, A. Newell, and P. S. Rosenbloom. SOAR: an architecture for general intelligence. Artificial Intelligence, 33: 1–64, 1987

    Article  Google Scholar 

  8. J. E. Laird, E. S. Yager, M. Huc. ka, and C. M. Tuck. Robo-Soar: An integration of external interaction, planning, and learning using Soar. In W. Van de Velde (ed.), Toward Learning Robots, pp. 113–130. MIT Press, Cambridge, MA, 1993

    Google Scholar 

  9. Pat Langley, Kevin Thompson, Wayne Iba, John Gennari, and John Allen. An integrated cognitive architecture for autonomous agents. Technical report, Department of Information and Computer Science, University of California, Irvine, CA, 1991

    Google Scholar 

  10. H. Maturana. Biology of cognition. In F. Varela and H. Maturana (eds.), Autopoiesis and Cognition. Reidel, London, 1980

    Chapter  Google Scholar 

  11. H.R. Maturana and F. J. Varela. The Tree of Knowledge: The biological roots of human understanding. Shambala, Boston and London, revised edition, 1992

    Google Scholar 

  12. T. Mitchell, J. Allen, P. Chalasani, J. Cheng, O. Etzioni, M. Ringuette, and J. Schlimmer. Theo: A framework for self–improving systems. In K. VanLehn, editor, Architectures for Intelligence. Erlbaum, Hillsdale, NJ, 1990

    Google Scholar 

  13. A. Newell. The knowledge level. Artificial Intelligence, 18: 87–127, 1982

    Article  Google Scholar 

  14. A. Newell. Unified Theories of Cognition. Harvard University Press, Cambridge, MA, 1990

    Google Scholar 

  15. L. Steels. Components of Expertise. AI Magazine, 11 (2): 29–49, 1990

    Google Scholar 

  16. M. Tan. Learing cost–sensitive decision trees. PhD thesis, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, 1992

    Google Scholar 

  17. M. Tan and J. Schlimmer. Cost sensitive concept learning of sensor use in approach and recognition. In Proceedings of the 6th International Machine Learning Workshop, 1989

    Google Scholar 

  18. W. Van de Velde. Inference stucture as a basis for problem solving. In Y. KodratofF (ed.), Proceedings of the 8th European Conference on Artificial Intelligence, pp. 202–207, London, 1988. Pitman

    Google Scholar 

  19. W. Van de Velde. Reasoning, behavior and learning: a knowledge level per–spective. In Proceedings of Cognitiva 90, pp. 451–463, November 1990

    Google Scholar 

  20. Van de Velde Tractable rationality at the knowledge–level. In L. Steels and B. Smith (eds.), Proceedings AISB’91: Artificial Intelligence and Simulation of Behaviour, pp. 196–207, Springer, Berlin, 1991

    Google Scholar 

  21. W. Van de Velde. Issues in knowledge level modelling. In J–M. David, J–M Krivine, and R. Simmons (eds.), Second Generation Expert Systems, pp. 211–231. Springer, Berlin, 1993

    Google Scholar 

  22. K. VanLehn. Architectures for Intelligence. Lawrence Erlbaum, Hillsdale, NJ, 1989

    Google Scholar 

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© 1995 Springer-Verlag Berlin Heidelberg

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Van de Velde, W. (1995). Cognitive Architectures — From Knowledge Level To Structural Coupling. In: Steels, L. (eds) The Biology and Technology of Intelligent Autonomous Agents. NATO ASI Series, vol 144. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-79629-6_8

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  • DOI: https://doi.org/10.1007/978-3-642-79629-6_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-79631-9

  • Online ISBN: 978-3-642-79629-6

  • eBook Packages: Springer Book Archive

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