Abstract
Humans are without any doubts the prototypical example of agents that can hold rational beliefs and can show rational behavior. If an AGI system is intended to model the full breadth of human-level intelligence, it is reasonable to take the remarkable abilities of humans into account with respect to rational behavior, but also the apparent deficiencies of humans in certain rationality tasks. Based on well-known challenges for human rationality (Wason-Selection task and Tversky & Kahneman’s Linda problem) we propose that rational belief of humans is based on cognitive mechanisms like analogy making and coherence maximization of the background theory. The analogy making framework Heuristic-Driven Theory Projection (HDTP) can be used for implementing these cognitive mechanisms.
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References
Chinchuluun, A., Pardalos, P.M., Migdalas, A., Pitsoulis, L. (eds.): Pareto Optimality, Game Theory and Equilibria. Springer, Heidelberg (2008)
Cosmides, L., Tooby, J.: In: Barkow, et al. (eds.) Cognitive Adaptations for Social Exchange. Oxford University Press, New York (1992)
Evans, J.S.B.T.: Logic and human reasoning: An assessment of the deduction paradigm. Psychological Bulletin 128, 978–996 (2002)
Gentner, D.: Why we’re so smart. In: Goldin-Meadow, S. (ed.) Language in mind: Advances in the study of language and thought, pp. 195–235. MIT Press, Cambridge (2003)
Gigerenzer, G.: Rationality for Mortals: How People Cope with Uncertainty. Oxford University Press, Oxford (2008)
Gigerenzer, G., Hertwig, R., Pachur, T. (eds.): Heuristics: The Foundation of Adaptive Behavior. Oxford University Press, New York (in press)
Griffiths, T., Kemp, C., Tenenbaum, J.: Bayesian Models of Cognition. In: Sun, R. (ed.) The Cambridge Handbook of Computational Cognitive Modeling. Cambridge Univeresity Press, Cambridge (2008)
Gust, H., Kühnberger, K.-U., Schmid, U.: Metaphors and Heuristic-Driven Theory Projection (HDTP). Theoretical Computer Science 354, 98–117 (2006)
Gust, H., Krumnack, U., Kühnberger, K.-U., Schwering, A.: Analogical Reasoning: A Core of Cognition. Künstliche Intelligenz 1(08), 8–12 (2008)
Hofstadter, D., and the Fluid Analogies Research Group.: Fluid concepts and creative analogies: computer models of the fundamental mechanisms of thought. Basic Books, Inc., New York (1995)
Hutter, M.: Universal Artificial Intelligence: Sequential Decisions based on Algorithmic Probability. Springer, Heidelberg (2005)
Johnson-Laird, P.: Mental Models. Harvard University Press, Cambridge (1983)
Krumnack, U., Schwering, A., Gust, H., Kühnberger, K.-U.: Restricted Higher-Order Anti-Unification for Analogy Making. In: Orgun, M.A., Thornton, J. (eds.) AI 2007. LNCS (LNAI), vol. 4830, pp. 273–282. Springer, Heidelberg (2007)
McLure, M., Friedman, S., Forbus, K.: Learning concepts from sketches via analogical generalization and near-misses. In: Proceedings of the 32nd Annual Conference of the Cognitive Science Society (CogSci), Portland, OR (2010)
Osborne, M., Rubinstein, A.: A Course in Game Theory. MIT Press, Cambridge (1994)
Schwering, A., Krumnack, U., Kühnberger, K.-U., Gust, H.: Analogy as Integrating Framework for Human-Level Reasoning. In: Wang, P., Goertzel, B., Franklin, S. (eds.) Artificial General Intelligence: Proceedings of the First AGI Conference, pp. 419–423. IOS, Memphis (2008)
Schwering, A., Krumnack, U., Kühnberger, K.-U., Gust, H.: Syntactic Principles of Heuristic-Driven Theory Projection. Cognitive Systems Research 10(3), 251–269 (2009)
Stenning, K., van Lambalgen, M.: Human Reasoning and Cognitive Science. MIT Press, Cambridge (2008)
Thagard, P.: Explanatory Coherence. Behavioral and Brain Sciences 12(3), 435–467 (1989)
Thagard, P.: Coherence in Thought and Action. MIT Press, Cambridge (2002)
Tversky, A., Kahneman, D.: Extensional versus intuitive reasoning: The conjunction fallacy in probability judgment. Psychological Review 90(4), 293–315 (1983)
Wang, P.: Rigid Flexibility: The Logic of Intelligence. Springer, Heidelberg (2006)
Wason, P.C.: Reasoning. In: Foss, B. (ed.) New Horizons in psychology, Penguin, Harmondsworth (1966)
Wason, P.C., Shapiro, D.: Natural and contrived experience in a reasoning problem. The Quarterly Journal of Experimental Psychology 23(1), 63–71 (1971)
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Gust, H., Krumnack, U., Martínez, M., Abdel-Fattah, A., Schmidt, M., Kühnberger, KU. (2011). Rationality and General Intelligence. In: Schmidhuber, J., Thórisson, K.R., Looks, M. (eds) Artificial General Intelligence. AGI 2011. Lecture Notes in Computer Science(), vol 6830. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22887-2_18
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DOI: https://doi.org/10.1007/978-3-642-22887-2_18
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