Abstract

Artificial intelligence applied to hardware such as an optical pattern recognition system is the method such a system uses to optimize its preference in view of its endowments and limitations. Human vision, for example, has strong learned components. Two people with physiologically identical vision systems would undoubtedly see differently because they have self-programmed themselves differently. Likewise humans learn to accommodate for injuries, imperfections, degradation, etc.

© 1987 Optical Society of America