Cognitively Inspired Neural Network for Recognition of Situations-Reference-Cited by-同舟云学术

Cognitively Inspired Neural Network for Recognition of Situations

Published:2010-01 Issue:1 Volume:1 Page:36-55
ISSN:1947-928X
Container-title:International Journal of Natural Computing Research
language:en
Short-container-title:

Author:

Ilin Roman¹,Perlovsky Leonid¹

Affiliation:

1. Air Force Research Laboratory, Sensors Directorate, RYHE, USA

Abstract

The authors present a cognitively inspired mathematical learning framework called Neural Modeling Fields (NMF). They apply it to learning and recognition of situations composed of objects. NMF successfully overcomes the combinatorial complexity of associating subsets of objects with situations and demonstrates fast and reliable convergence. The implications of the current results for building multi-layered intelligent systems are also discussed.

Publisher

IGI Global

Reference57 articles.

1. Aristotle. (IV BCE / 1995) “Rhetoric to Alexander.” In The Complete Works of Aristotle, Ed. J.Barnes, Princeton, NJ: Princeton Univ. Press, IV BCE/1995.

2. Top-down facilitation of visual recognition

3. Barrett, L. F. & Bar, M. (2009). See it with feeling: Affective predictions in the human brain Royal Society Phil Trans B, 364, 1325-1334.

4. Adaptive Control Processes

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