AISB91 pp 51-61 | Cite as

A Cognitive Model of Goal-Oriented Automatisms and Breakdowns

  • Hugues Bersini
Conference paper

Abstract

Before being someone who plans, man is someone who acts. Because planning often intervenes in case of uncertainty or failures in activity, the planning process must be understood as an intermediary intermittent contribution to the success of actions unfolding. An important part of man behaviour does not need any symbolic mental representation beyond the “just-perceived-environment” with which man interacts. Breakdowns are cognitive occurrences due to sudden ruptures in sensory-motor automatisms that are usually adapted to a situation. They constitute a preliminary way to understand in what circumstances an actor is really engaged in symbolic problem solving. This symbolic thinking however is entirely dependent on the breakdown context. In the cognitive model proposed in this paper, what happens before a breakdown is based on a PDP matching with automatic scripts followed by a procedural execution of the selected automatic script. Concerning the PDP developments, a simple model grounded in a multi-layer architecture architecture and capable of bottom-up and top-down inferences will replicate the deductive and inductive mechanisms of recognition processes. Concerning the execution of the automatic scripts, we will try to justify why a hierarchical goal-oriented structure is still needed. The major part of this paper discusses the simulation of six types of breakdowns and analyses the motivations for such an enterprise both from a cognitive and an AI perspective.

Keywords

Elementary Action 

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References

  1. Anderson, J.R. (1983): The architecture of Cognition. Cambridge, Mass: Harvard University Press.Google Scholar
  2. Ballard, D and S.D. Whitehead (1988): Connectionist Design on Planning. In Connectionist Models Summer School Proceedings — Touretzky, Hinton, Sejnowski (Eds) — Morgan Kaufmann.Google Scholar
  3. Bersini, H., Cacciabile, P.C. and G. Mancini (1987): A Cognitive Model for Representing Knowledge, Intentions and Actions of Process Plant Operators. In Proceedings of the First European Meeting on Cognitive Science Approaches to Process Control. Marcoussis (France), October 19–20, 1987.Google Scholar
  4. Bersini, H. (1989a): Connectionism vs GOFAI for modelling and supporting process plant operators: a brief critical analysis, in Proceedings of 2nd European Meeting on Cognitive Science Approaches to Process Control.Google Scholar
  5. Bersini, H. (1989b): Before and after breakdowns, in Proceedings of the 4ème colloque de l’ARC: Progrès de la recherche cognitive.Google Scholar
  6. Bersini, H. and Decossaux, E. (1990): Exploitation of connectionist systems for deductive and inductive diagnosis. IRIDIA internal report.Google Scholar
  7. Chapman, D. and P.E. Agre (1986): Abstract Reasoning as Emergent from Concrete Activity. In Procedings of the 1986 workshop on Reasoning about Actions and Plans — Georgeff and Lansky (Eds.) Google Scholar
  8. Chapman, D. and P.E. Agre (1987): Pengi: An implementation of a theory of activity, in Proceedings of the Sixth National Conference On Artificial Intelligence, American Association for Artificial Intelligence, Seattle, Wash..Google Scholar
  9. Clark, A. (1989): Connectionism and the multiplicity of mind. Artificial Intelligence Review. Vol. 3–1Google Scholar
  10. Coulter, J. (1989): Mind in Action. Polity Press.Google Scholar
  11. Day, D.S. (1987): JANUS: an architecture for integrating automatic and controlled problem solving, in Proceedings of the Ninth Annual Conference of the Cognitive Science Society, Seattle, Wash.Google Scholar
  12. Delinet, D. (1984): Cognitive Wheels: the frame problem of AI. In C. Hookway (Ed.) Minds, Machines and Evolution. New York, Cambridge University Press.Google Scholar
  13. Dreyfus, H. (1972): What Computers can’t do; A Critique of Artificial Reason. New York: Harper & Row.Google Scholar
  14. Firby, R.J. (1987): An investigation into reactive planning in complex domains, in Proceedings of the Sixth National Conference on Artificial Intelligence, Morgan Kaufmann, Seattle, Washington.Google Scholar
  15. Fukushima, K. (1988): A Neural Network for Visual Pattern Recognition. IEEE Computer, March.Google Scholar
  16. Georgeff, M.P. and F.F. Ingrand (1989): Decision Making in an Embedded Reasoning System. In Proceedings of the 11th IJCAI Conference.Google Scholar
  17. Gregory, R.L. (1988): Consciousness in science and philosophy: conscience and con-science. Consciousness in Contemporary Science — A.J. Marcel and E. Bisiach (Eds.) — Oxford Science Publications.Google Scholar
  18. Grossberg, S. (Eds) (1988): Neural Networks and Natural Intelligence. MIT Press, Cambridge Mass.Google Scholar
  19. Hammond, K.J. (1990): Integrating Planning and Acting in a Case-Based Framework. In Proceedings of the 8th AAAI Conference.Google Scholar
  20. Hendler, J.A. (1987): Marker-Passing and Microfeatures. In Proceedings of the Tenth International Joint Conference on Artificial Intelligence. Milan, August 23–28.Google Scholar
  21. Maes, P. (1989): The Dynamics of Action Selection. In Proceedings of the 11th IJCAI Conference.Google Scholar
  22. Kaelbling, L. (1986): An architecture for Intelligent Reactive Systems. In Procedings of the 1986 workshop on Reasoning about Actions and Plans — Georgeff and Lansky (Eds.) Google Scholar
  23. Maes, P. (1989): The Dynamics of Action Selection. In proceedings of the 11th IJCAI Conference.Google Scholar
  24. Maes, P. (eds.) (1990): Designing Autonomous Agents — Robotics and Autonomous Systems 6 — North-Holland.Google Scholar
  25. Malcolm, C. and T, Smithers (1990): Symbol Grounding via a Hybrid Architecture in an Autonomous Assembly System. in Robotics an Autonomous Systems — 6.Google Scholar
  26. Mc Carthy, J.M. and P.J. Hayes (1981): Some philosophical problems from the stand-point of artificial intelligence, in: Readings in Artificial Intelligence. Tioga, Palo Alto, CA.Google Scholar
  27. Minsky, M. (1986): The Society of Mind. A Touchstone Book. Published by Simon & Schuster Inc.Google Scholar
  28. Mitchell, T. (1990): Becoming Increasingly Reactive. In proceedings of the 8Th AAAI.Google Scholar
  29. Ortony, A. and D. Partridge (1987): Surprisingness and Expectation Failure: What’s the Difference? In Proceedings of the Tenth International Joint Conference on Artificial Intelligence. Milan, August 23–28.Google Scholar
  30. Pylyshyn, Z.W. (Ed) (1986): The Robot’s Dilemma. Ablex, Norwood, NJ.Google Scholar
  31. Reason, J (1986): Intentions, Errors and Machines: A Cognitive Science Perspective. Conference on Aspects of Consciousness and Awareness. Bielefeld, W. Germany, 1–3 December.Google Scholar
  32. Sacerdoti, E.D. (1977): A Structure for plans and Behaviour. Elsevier-North Holland, Amsterdam.Google Scholar
  33. Schank, R.C. (1982): Dynamic memory. New York: Cambridge University Press.Google Scholar
  34. Schoppers, M.J. (1987): Universal Plans for Reactive Robots in Unpredictable Domains. In Proceedings of the tenth IJCAI Conference.Google Scholar
  35. Searle, J.R. (1980): The intentionality of intention and action. Cognitive Science, No 4.Google Scholar
  36. Smolensky, P. (1986): Information Processing in dynamical systems: foundations of harmony theory. In Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Vol.1: foundations (eds D.E. Rumelhart, J.L. Mc Clelland & the PDP Research Group) MIT Press/Bradford Books, Cambridge, MA, USA.Google Scholar
  37. Suchman, L. (1987): Plans and Situated Actions. The Problem of Human/Machine communications. Cambridge University Press.Google Scholar
  38. Ullman, S. and C. Koch (1987): Shifts in Selective Visual Attention: Towards the Underlying Neural Circuitry. In L.M. Vaina (ed) Matters of Intelligence — D. Reidel Publishing Company.Google Scholar
  39. Wilensky, R. (1983): Planning and Understanding. Addison-Wesley, Reading, Mass.Google Scholar
  40. Wilkins, D.E. (1985): Recovering from execution errors in SIPE. Computational Intelligence, 1(1), February.Google Scholar
  41. Winograd, T. and F. Flores (1987): Understanding computers and cognitions. Ablex Publ.Google Scholar

Copyright information

© Springer-Verlag London Limited 1991

Authors and Affiliations

  • Hugues Bersini
    • 1
  1. 1.IridiaUniversité libre de BruxellesBruxellesBelgium

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