Seeing is believing: A common sense theory of the adoption of perception-based beliefs

Authors:
John Bell;Zhisheng Huang
Affiliations:
Applied Logic Group, Computer Science Department, Queen Mary and Westfield College, University of London, London E1 4NS, United Kingdom;Applied Logic Group, Computer Science Department, Queen Mary and Westfield College, University of London, London E1 4NS, United Kingdom
Venue:
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Year:
1999

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Abstract

In this paper we present a formal common sense theory of the adoption of perception-based beliefs. We begin with a logical analysis of perception and then consider when perception should lead to belief change. Our theory is intended to apply to perception in humans and to perception in artificial agents at the level of the symbolic interface between a vision system and a belief system. In order to provide a context for our work we relate it to the emerging field of cognitive robotics, give an abstract architecture for an agent which is both embodied and capable of reasoning, and relate this to the concrete architectures of two vision-based surveillance systems.