Linkping University Electronic Press

Title:	An Approach to Perception in Theory of Actions: Part I
Authors:	Fiora Pirri and Alberto Finzi
Series:	Linkping Electronic Articles in Computer and Information Science ISSN 1401-9841
Issue:	Vol. 4 (1999), No. 041
URL:	http://www.ep.liu.se/ea/cis/1999/041/

Abstract:	We present a preliminary approach to the coordination and control of sensing for action oriented perception in the Situation Calculus. We essentially consider visual perception, although the approach can be generalized to other forms of perception. We show that perception is an inference process that uses different levels of refinement, namely, direct perception, selective sense perception and, finally, meaningful perception. We take a cautious poiunt of view to perception which means that we see it as a reasoning process that can be ambiguous and mistaken. Agents can be committed to be attentive so as to make no mistakes. Wehn the theory does not entail that a mistake occurred then perception is considered veridic. Ambiguity is resolved via hypothetical reasoning; we call this non monotonic reasoning process that combines sensing, logical inference and hypotheses, meaningful perception.

Abstract:

We present a preliminary approach to the coordination and control of sensing for action oriented perception in the Situation Calculus. We essentially consider visual perception, although the approach can be generalized to other forms of perception. We show that perception is an inference process that uses different levels of refinement, namely, direct perception, selective sense perception and, finally, meaningful perception. We take a cautious poiunt of view to perception which means that we see it as a reasoning process that can be ambiguous and mistaken. Agents can be committed to be attentive so as to make no mistakes. Wehn the theory does not entail that a mistake occurred then perception is considered veridic. Ambiguity is resolved via hypothetical reasoning; we call this non monotonic reasoning process that combines sensing, logical inference and hypotheses, meaningful perception.

Original publication 1999-12-22	Postscript part I -- Checksum Checksum (old) Information about recalculation of checksum Postscript part II -- Checksum II Checksum II (old) Information about recalculation of checksum