Abstract
In contrast to the idealized rationality formalized in decision theory, artificial intelligence studies agents of limited cognitive resources and abilities. These limitations require the agent to economize on its memory usage and reasoning effort, and to be able to deliberate and act in spite of incomplete and inconsistent beliefs and preferences. We discuss some of the means by which artificial reasoners tolerate and even exploit these limitations in carrying out basic cognitive tasks, focusing on the underlying notions of progressive and conservative reasoning and constitutional and constructive representation. We show how these means may all be viewed as species of rationally guided or controlled reasoning, or more generally, as forms of rational self-government.
This paper is based on a talk presented at the Conference on the Dynamics of Belief, held in Lund, Sweden in August 1989. A shorter, earlier version of this paper appeared under the title “Reasoning, Representation, and Rational Self-Government” in Methodologies for Intelligent Systems, 4, (Z. W. Ras, editor), Amsterdam: North-Holland 1989, pp. 367–380. Copyright © 1990 by Jon Doyle.
Jon Doyle is supported by National Institutes of Health Grant No. R01 LM04493 from the National Library of Medicine.
Preview
Unable to display preview. Download preview PDF.
References
J. G. Carbonell. Derivational analogy: a theory of reconstructive problem solving and expertise acquisition. In R. S. Michalski, J. G. Carbonell, and T. M. Mitchell, editors, Machine Learning: An Artificial Intelligence Approach, volume 2, pages 371–392. Morgan Kaufmann, 1986.
J. Doyle. A truth maintenance system. Artificial Intelligence, 12(2):231–272, 1979.
J. Doyle. Some theories of reasoned assumptions: an essay in rational psychology. Technical Report 83-125, Department of Computer Science, Carnegie Mellon University, Pittsburgh, PA, 1983.
J. Doyle. Artificial intelligence and rational self-government. Technical Report CS-88-124, Carnegie-Mellon University Computer Science Department, 1988.
J. Doyle. Constructive belief and rational representation. Computational Intelligence, 5(1):1–11, February 1989.
J. Doyle and R. S. Patil. Two dogmas of knowledge representation: language restrictions, taxonomic classifications, and the utility of representation services. TM 387b, Massachusetts Institute of Technology, Laboratory for Computer Science, 545 Technology Square, Cambridge, MA, 02139, September 1989.
J. Doyle and M. P. Wellman. Impediments to universal preference-based default theories. In R. J. Brachman, H. J. Levesque, and R. Reiter, editors, Proceedings of the First International Conference on Principles of Knowledge Representation and Reasoning, pages 94–102, San Mateo, CA, May 1989. Morgan Kaufmann.
R. Fagin, J. D. Ullman, and M. Y. Vardi. On the semantics of updates in databases. In Proceedings of the Second ACM SIGACT-SIGMOD Conference, pages 352–365, 1983.
R. E. Fikes and N. J. Nilsson. STRIPS: A new approach to the application of theorem proving to problem solving. Artificial Intelligence, 2:189–208, 1971.
P. Gärdenfors. Knowledge in Flux: Modeling the Dynamics of Epistemic States. MIT Press, Cambridge, MA, 1988.
I. J. Good. Rational decisions. Journal of the Royal Statistical Society B, 14:107–114, 1952.
G. Harman. Change in View: Principles of Reasoning. MIT Press, Cambridge, MA, 1986.
E. J. Horvitz. Reasoning under varying and uncertain resource constraints. In Proceedings of the Seventh National Conference on Artificial Intelligence, pages 111–116, San Mateo, CA, 1988. AAAI, Morgan Kaufmann.
W. James. The Will to Believe and Other Essays in Popular Philosophy. Longmans, Green, and Co., New York, 1897.
H. Leibenstein. Beyond Economic Man: A new foundation for microeconomics. Harvard University Press, Cambridge, MA, second edition, 1980.
H. J. Levesque. A logic of implicit and explicit belief. In Proceedings of the National Conference on Artificial Intelligence, pages 198–202. American Association for Artificial Intelligence, 1984.
I. Levi. The Enterprise of Knowledge. MIT Press, Cambridge, MA, 1980.
D. Lewis. Counterfactuals. Blackwell, Oxford, 1973.
D. McDermott. Planning and acting. Cognitive Science, 2:71–109, 1978.
D. McDermott. A critique of pure reason. Computational Intelligence, 3:151–160, 1987.
N. H. Minsky. Law-governed systems. Technical report, Rutgers University, Computer Science Department, New Brunswick, 1988.
B. Pascal. Pensées sur la religion et sur quelques autres sujets. Harvill, London, 1962. Translated by M. Turnell, originally published 1662.
W. V. Quine and J. S. Ullian. The Web of Belief. Random House, New York, second edition, 1978.
R. Reiter. On integrity constraints. In M. Y. Vardi, editor, Proceedings of the Second Conference on Theoretical Aspects of Reasoning About Knowledge, pages 97–111, Los Altos, 1988. Morgan Kaufmann.
S. Russell and E. Wefald. Principles of metareasoning. In R. J. Brachman, H. J. Levesque, and R. Reiter, editors, Proceedings of the First International Conference on Principles of Knowledge Representation and Reasoning, pages 400–411, San Mateo, CA, 1989. Morgan Kaufmann.
L. J. Savage. The Foundations of Statistics. Dover Publications, New York, second edition, 1972.
Y. Shoham. Reasoning about Change: Time and Causation from the Standpoint of Artificial Intelligence. MIT Press, 1988.
H. A. Simon. From substantive to procedural rationality. In S. J. Latsis, editor, Method and Appraisal in Economics, pages 129–148. Cambridge University Press, 1976.
D. E. Smith and M. R. Genesereth. Ordering conjunctive queries. Artificial Intelligence, 26:171–215, 1985.
L. G. Valiant. A theory of the learnable. Communications of the ACM, 18(11):1134–1142, 1984.
J. von Neumann and O. Morgenstern. Theory of Games and Economic Behavior. Princeton University Press, Princeton, third edition, 1953.
R. Waldinger. Achieving several goals simultaneously. In E. Elcock and D. Michie, editors, Machine Intelligence 8, pages 94–136. Edinburgh University Press, 1977.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1991 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Doyle, J. (1991). Rational control of reasoning in artificial intelligence. In: Fuhrmann, A., Morreau, M. (eds) The Logic of Theory Change. Lecture Notes in Computer Science, vol 465. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0018415
Download citation
DOI: https://doi.org/10.1007/BFb0018415
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-53567-6
Online ISBN: 978-3-540-46817-2
eBook Packages: Springer Book Archive