Abstract
We give a crisp overview of the problem of analyzing counterfactual conditionals, along with a proposal of how an artificial system can overcome its challenges, by operationally utilizing computationally-plausible cognitive mechanisms. We argue that analogical mapping, blending of knowledge from conceptual domains, and utilization of simple cognitive processes lead to the creative production of, and the reasoning in, mentally-created domains, which shows that the analysis of counterfactual conditionals can be done in computational models of general intelligence.
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References
Lewis, D.: Counterfactuals. Library of philosophy and logic. Wiley (2001)
Byrne, R.: The Rational Imagination: How People Create Alternatives to Reality. Bradford Books, MIT Press (2005)
Lee, M., Barnden, J.: A computational approach to conceptual blending within counterfactuals. Cognitive Science Research Papers CSRP-01-10, School of Computer Science, University of Birmingham (2001)
Goodman, N.: The problem of counterfactual conditionals. The Journal of Philosophy 44, 113–118 (1947)
Quine, W.V.: Word and Object. The MIT Press (1960)
Santamaría, C., Espino, O., Byrne, R.: Counterfactual and semifactual conditionals prime alternative possibilities. Journal of Experimental Psychology 31(5), 1149–1154 (2005)
Coulson, S.: Semantic Leaps: Frame-Shifting and Conceptual Blending in Meaning Construction. Cambridge University Press (2006)
Fauconnier, G.: Mental Spaces: Aspects of Meaning Construction in Natural Language. Cambridge University Press (1994)
Pearl, J.: The algorithmization of counterfactuals. Annals of Mathematics and Artificial Intelligence 61(1), 29–39 (2011)
Lee, M.: Truth, metaphor and counterfactual meaning. In: Burkhardt, A., Nerlich, B. (eds.) Tropical Truth(s): The Epistemology of Metaphor and other Tropes, pp. 123–136. De Gruyter (2010)
Fauconnier, G.: Mappings in Thought and Language. Cambridge University Press (1997)
Hofstadter, D., The Fluid Analogies Research Group: Fluid Concepts and Creative Analogies. Computer Models of the Fundamental Mechanisms of Thought. Basic Books, New York (1995)
Abdel-Fattah, A.M.H., Besold, T., Kühnberger, K.-U.: Creativity, Cognitive Mechanisms, and Logic. In: Bach, J., Goertzel, B., Iklé, M. (eds.) AGI 2012. LNCS, vol. 7716, pp. 1–10. Springer, Heidelberg (2012)
Hofstadter, D.: Epilogue: Analogy as the core of cognition. In: Gentner, D., Holyoak, K.J., Kokinov, B.N. (eds.) The Analogical Mind: Perspectives from Cognitive Science, pp. 499–538. MIT Press (2001)
Abdel-Fattah, A., Besold, T.R., Gust, H., Krumnack, U., Schmidt, M., Kühnberger, K.U., Wang, P.: Rationality-Guided AGI as Cognitive Systems. In: Proc. of the 34th Annual Meeting of the Cognitive Science Society, pp. 1242–1247 (2012)
Fauconnier, G., Turner, M.: The Way We Think: Conceptual Blending and the Mind’s Hidden Complexities. Basic Books, New York (2002)
Gust, H., Kühnberger, K.U., Schmid, U.: Metaphors and Heuristic-Driven Theory Projection (HDTP). Theor. Comput. Sci. 354, 98–117 (2006)
Schwering, A., Krumnack, U., Kühnberger, K.U., Gust, H.: Syntactic Principles of Heuristic-Driven Theory Projection. Journal of Cognitive Systems Research 10(3), 251–269 (2009)
Johnson-Laird, P.N.: Mental models: towards a cognitive science of language, inference, and consciousness. Harvard University Press, Cambridge (1983)
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Abdel-Fattah, A.M.H., Krumnack, U., Kühnberger, KU. (2013). Utilizing Cognitive Mechanisms in the Analysis of Counterfactual Conditionals by AGI Systems. In: Kühnberger, KU., Rudolph, S., Wang, P. (eds) Artificial General Intelligence. AGI 2013. Lecture Notes in Computer Science(), vol 7999. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39521-5_1
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DOI: https://doi.org/10.1007/978-3-642-39521-5_1
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