Abstract
Causal reasoning involves many interacting concepts that make them difficult to deal with, and for which analytical techniques are inadequate. A cognitive map can be employed, as a tool for qualitative reasoning, to cope with this type of knowledge. Cognitive maps have been used for decision analysis, administrative sciences, management sciences, distributed AI and distributed group decision support. In this paper, we present a formal model for cognitive maps with a precise semantics based on relation algebra. In this way, we justify the classical intuitive inference mechanisms, based on reasoning from causes to effects.
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Chaib-draa, B. (1998). A relational modeling of cognitive maps. In: Mercer, R.E., Neufeld, E. (eds) Advances in Artificial Intelligence. Canadian AI 1998. Lecture Notes in Computer Science, vol 1418. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64575-6_61
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DOI: https://doi.org/10.1007/3-540-64575-6_61
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