Contextual Reasoning In Human Cognition And The Implications For Artificial Intelligence Systems
Keywords
Contextual reasoning; Reasoning with and about context
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.
Publication Date
1-1-2017
Publication Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
10257 LNAI
Number of Pages
599-608
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1007/978-3-319-57837-8_48
Copyright Status
Unknown
Socpus ID
85020909426 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85020909426
STARS Citation
Hollister, Debra L.; Gonzalez, Avelino; and Hollister, James, "Contextual Reasoning In Human Cognition And The Implications For Artificial Intelligence Systems" (2017). Scopus Export 2015-2019. 7467.
https://stars.library.ucf.edu/scopus2015/7467