Abstract
The aim of this paper is to present a cognitive model and a related computational system for representing and simulating the causal reasoning about the physical world. The cognitive model of causal reasoning is based on two main assumptions, the assumption of reasoning by examples and the assumption of causality by contact. The computational model has been developed using an Extended version of the Qualitative Processes Theory (EQPT); the use of the EQPT as a qualitative simulator allows to represent and treat the various commonsense physical domains. The modular and flexible architecture of the implemented system allows it to be used as an automated support for psychological experimentations.
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Carassa, A., Valpiani, A., Geminiani, G., Bandini, S. (1995). A cognitive model of causal reasoning about the physical world. In: Gori, M., Soda, G. (eds) Topics in Artificial Intelligence. AI*IA 1995. Lecture Notes in Computer Science, vol 992. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60437-5_21
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DOI: https://doi.org/10.1007/3-540-60437-5_21
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