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A penalty‐logic simple‐transition model for structured sequences

In L. Magnani (ed.), Computational Intelligence. pp. 25--4 (2009)

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  1. Reconstructing force-dynamic models from video sequences.Jeffrey Mark Siskind - 2003 - Artificial Intelligence 151 (1-2):91-154.
  • The perceptron: A probabilistic model for information storage and organization in the brain.F. Rosenblatt - 1958 - Psychological Review 65 (6):386-408.
    If we are eventually to understand the capability of higher organisms for perceptual recognition, generalization, recall, and thinking, we must first have answers to three fundamental questions: 1. How is information about the physical world sensed, or detected, by the biological system? 2. In what form is information stored, or remembered? 3. How does information contained in storage, or in memory, influence recognition and behavior? The first of these questions is in the.
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  • Reasoning, nonmonotonicity and learning in connectionist networks that capture propositional knowledge.Gadi Pinkas - 1995 - Artificial Intelligence 77 (2):203-247.
  • Mundane reasoning by settling on a plausible model.Mark Derthick - 1990 - Artificial Intelligence 46 (1-2):107-157.
  • Bucket elimination: A unifying framework for reasoning.Rina Dechter - 1999 - Artificial Intelligence 113 (1-2):41-85.