Title
On The Nature Of Time In Conceptual And Computational Nervous Systems
Keywords
Artificial intelligence; Brain; Nervous systems computation; Time
Abstract
The central premise of the present paper is that the spectacular failure to create a fully functional artificial intelligence results from a fundamental misunderstanding of the nature of time in relation to living systems. Unlike the sterile and purely chronometric conception that is subsumed in the central, clock referent system of most current computational machines, intelligence and especially human intelligence is erected on a tri-level, integrated system of temporal processing capacities. Here, I present the fundamental nature and manner of integration of these three, evolution-driven mechanisms which help life cope with the vagaries of uncertain but not totally unpredictable environments. The implications for the development of effective artificially-intelligent machines are discussed. © 2007 Brill Academic Publishers.
Publication Date
11-1-2007
Publication Title
KronoScope
Volume
7
Issue
2
Number of Pages
169-183
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1163/156852407X249025
Copyright Status
Unknown
Socpus ID
36749038285 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/36749038285
STARS Citation
Hancock, P. A., "On The Nature Of Time In Conceptual And Computational Nervous Systems" (2007). Scopus Export 2000s. 5899.
https://stars.library.ucf.edu/scopus2000/5899