Computer Models of Cognitive Processes
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Displaying course information from Spring 2011.
||1100 - 1215
|| T R
||1103 Siebel Center for Comp Sci
||Course Information: Same as CS 548. See CS 548.
||Robotics, Vision, and Artificial Intelligence
||Credit in CS 440
|Detailed Description and Outline
- Relevant psychological results in vision: the frog's eye; the cat's visual system; human visual phenomena; neural net models and neurophysiological results
- Computer vision systems: adaptive systems; perceptrons; heuristic systems (Guzman, Chang, Agin, Binford); structured systems (Huffman, Clowes, Waltz); model-driven systems (Shirai, Tennenbaum)
- Representation of visual information: pattern recognition and templates; polyhedra, line drawings, structural descriptions; natural objects and scenes with motion
- Frame-systems: Is vision symbolic? The importance of context; cultural factors in perception, relationships between perception and language; reasoning
- Linguistics: historical perspective and problems of human and machine translation; transformational grammars and syntax; augmented transition networks; systemic grammars, case grammars, and semantics
- Computer language systems: analysis of programs by Weizenbaum, Bobrow, Quillian, Simmons, Woods, Schank, Winograd, Martin, Rumelhart and Norman
- Current problems and research: learning and program meta-description (Piaget-Sussman); the natue of intelligence; language of chimpanzees; belief systems and abiguity (Charniak, McCarthy, Colgy)
Same as CS 548.
Jude Shavlik and Thomas Dietterich, Readings in Machine Learning, Morgan Kaufman.
Last updated: 2/13/2013