Title
Looking For A Synergy Between Human And Artificial Cognition
Keywords
Artificial Intelligence; Cognition; Context
Abstract
Contextually based reasoning is an essential aspect of human cognition, permeating language, memory, and reasoning capabilities. This integral process is developed over the lifetime through experiential learning. Given the goal of artificial intelligence to mimic human intelligence, it is essential to include such contextual considerations in system design and implementation. We compare selected computational architectures and cognitive paradigms on the basis of key elements in human intelligence understanding in order to illustrate the similarities and differences between the two viewpoints and highlight the potential effectiveness of context based computing. In the literature, we discover meaningful parallels between the assessment of context in cognition and computation which have implications for both fields of study. © 2013 Springer-Verlag.
Publication Date
12-11-2013
Publication Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
8175 LNAI
Number of Pages
45-58
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1007/978-3-642-40972-1_4
Copyright Status
Unknown
Socpus ID
84889581116 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84889581116
STARS Citation
Parker, Jeanne E.; Hollister, Debra L.; Gonzalez, Avelino J.; Brézillon, Patrick; and Parker, Shane T., "Looking For A Synergy Between Human And Artificial Cognition" (2013). Scopus Export 2010-2014. 5913.
https://stars.library.ucf.edu/scopus2010/5913