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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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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