title: The percepton of motion: Michotte revisited.
abstract: This paper extends the range of artificial-intelligence vision programs to the domain of moving objects, using the work of Michotte as a source of data for a computer program which purports to 'see' the action types he examined. Given the thesis that internal descriptions of a nonlinguistic type provide the basis for a constructive, knowledge-based theory of perception, the properties of a symbol-manipulating system capable of supporting this are explored as a challenge to the Michotte notion of "direct perception without interpretation".
mesh_terms: D001244:Association; D001364:Awareness; D003201:Computers; D049673:History, 20th Century; D006801:Humans; D009039:Motion Perception; D010551:Personality; D011582:Psychological Theory; D014705:Verbal Behavior