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  1. Perception as Abduction: Turning Sensor Data Into Meaningful Representation.Murray Shanahan - 2005 - Cognitive Science 29 (1):103-134.
    This article presents a formal theory of robot perception as a form of abduction. The theory pins down the process whereby low‐level sensor data is transformed into a symbolic representation of the external world, drawing together aspects such as incompleteness, top‐down information flow, active perception, attention, and sensor fusion in a unifying framework. In addition, a number of themes are identified that are common to both the engineer concerned with developing a rigorous theory of perception, such as the one on (...)
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  • Probabilistic Horn abduction and Bayesian networks.David Poole - 1993 - Artificial Intelligence 64 (1):81-129.
  • Conservation principles and action schemes in the synthesis of geometric concepts.Luis A. Pineda - 2007 - Artificial Intelligence 171 (4):197-238.
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  • Meaning and grammar: An introduction to semantics.C. Raymond Perrault - 1993 - Artificial Intelligence 63 (1-2):493-502.
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  • The logic of constraint satisfaction.Alan K. Mackworth - 1992 - Artificial Intelligence 58 (1-3):3-20.
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  • Understanding dynamic scenes.A. Chella, M. Frixione & S. Gaglio - 2000 - Artificial Intelligence 123 (1-2):89-132.
  • Abduction as belief revision.Craig Boutilier & Veronica Beche - 1995 - Artificial Intelligence 77 (1):43-94.