The intelligent computer. Description matching and goal reduction. Exploiting natural constraints. Exploring alternatives. Control metaphors. Problem-solving paradigms. Logic and theorem proving. Representing commonsense knowledge. Language understanding. Image understanding. Learning class descriptions from samples. Learning rules from experience. Bibliography.
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LibraryThing ReviewUser Review - MrJack - LibraryThing
This book explains the basic theoretical concepts of Artificial Intelligence. The emphasis in this book is on illustrations, not demonstrations or experiments. Ideally, a one-semester course in ... Read full review
J1 THE INTELLIGENT COMPUTER
Computers Can Help Model Human Problem Solving Computers Can Solve
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abstraction units ALPHA-BETA alpha-beta pruning analogy analysis animal answer antecedent-consequent rules arrow Artificial Intelligence axioms beam search best-first search big table block breadth-first search brick brightness Cambridge certainty chapter choices clause Computer constraint propagation corresponding depth-first search determine difference distance example Exercise expression FALSE formula frame goal node grammar Happy(C heuristic idea illustrates Institute of Technology involved junction labels knowledge language learning link configuration logic look Macbeth Massachusetts Institute matching maximizer META-WASP MOVEHAND MYCIN noun phrase octants paradigm parse tree parser partial path PhD thesis position possible prepositional problem problem-solving procedure queue red pyramid representation requires Robbie rule-based systems semantic sentence shown in figure shows silly robot situation slot solving spectrogram static evaluations step structure subfigures surface Suzie symbols thematic object thematic roles theorem things transition tree TRUE variable verb vertex VP-PPS WASP parser wedge XCON zero crossings