Abstract
It has been widely known that reasoning with and about context is an essential aspect of human cognition, permeating language, memory, and reasoning capabilities. This integral process is developed over a lifetime through experiential learning. Given that one goal of artificial intelligence has been to create human-like intelligence in a machine, it is essential to include such contextual considerations in system design and implementation. This paper extends the discussion about contextual reasoning in humans and how modeling it in a computer program can help to get closer to the ultimate intelligent machine.
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Hollister, D. L., Gonzalez, A., & Hollister, J. (2017). Contextual reasoning in human cognition and the implications for artificial intelligence systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10257 LNAI, pp. 599–608). Springer Verlag. https://doi.org/10.1007/978-3-319-57837-8_48
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