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Constraint satisfaction
www-g.eng.cam.ac.uk/mmg/teaching/artificialintelligence/nonflash/constraint1.htm31 Jan 2002: 1. Select an unexpanded node of the search graph. 2. Apply the constraint inference rules to the selected node to generate all possible new constraints. ... 5. Else apply the problem space rules to generatre new partial solutions which are consistent -
Knowledge
www-g.eng.cam.ac.uk/mmg/teaching/artificialintelligence/nonflash/knowledge1.htm31 Jan 2002: used to derive new representations about the world and how these can be used by an intelligent agent to deduce what to do. ... The proof can be used to determine new facts which follow from the old. -
Development of AI
www-g.eng.cam.ac.uk/mmg/teaching/artificialintelligence/nonflash/intro2.htm31 Jan 2002: In considering any new subject, there is frequently a tendency first to overstate what we already find to be interesting or remarkable; and secondly by a sort of natural reaction to -
Thesis Master RDS
www-g.eng.cam.ac.uk/whittle/publications/rds/RStieger_PhD.pdf17 May 2002: A new. generation of blade profiles was designed based on the extensive experimental work. ... turbulent events and found that new turbulent spots were not formed randomly but. -
Searching for the optimum Root-Goal path
www-g.eng.cam.ac.uk/mmg/teaching/artificialintelligence/nonflash/problem7.htm31 Jan 2002: Remove the first path from the Q. 2b2. Form new paths from the removed one by extending one step. ... 2b3. Add the new paths to the Q. 2b4. Sort the Q by the sum of actual cost so far the lower-bound estimate of the cost remaining.
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