Vision as Causal Activation and Association

Bart Kosko; John S. Limm

doi:10.1117/12.950789

11 December 1985 Vision as Causal Activation and Association

Bart Kosko, John S. Limm

Proceedings Volume 0579, Intelligent Robots and Computer Vision IV; (1985) https://doi.org/10.1117/12.950789
Event: 1985 Cambridge Symposium, 1985, Cambridge, United States

Abstract

Vision is interpreted as embedding an image in a causal framework. Specifically, vision is decomposed into image recognition and image understanding. A fuzzy cognitive map (FCM)a fuzzy causal graph--is selected as the causal framework in which vision occurs. Image recognition is then interpreted as activating causal concept nodes on a FCM. Image understanding is interpreted as the causal association, via FCM edge functions, induced by recognized/activated causal nodes. Vision therefore is represented as the spatiotemporal process of spreading activation and decaying oscillation or resonance on a FCM. An explicit dynamical model of vision is introduced and an optical implementation is described.

Citation Download Citation

Bart Kosko and John S. Limm "Vision as Causal Activation and Association", Proc. SPIE 0579, Intelligent Robots and Computer Vision IV, (11 December 1985); https://doi.org/10.1117/12.950789

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available