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. © 2011 Springer-Verlag Berlin Heidelberg.
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Gust, H., Krumnack, U., Martínez, M., Abdel-Fattah, A., Schmidt, M., & Kühnberger, K. U. (2011). Rationality and general intelligence. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6830 LNAI, pp. 174–183). https://doi.org/10.1007/978-3-642-22887-2_18
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