Artificial IntelligenceThe 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. |
Contents
THE INTELLIGENT COMPUTER | 1 |
Computers Can Help Model Human Problem Solving Computers Can Solve | 14 |
DESCRIPTION MATCHING | 21 |
Copyright | |
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Common terms and phrases
abstraction units ALPHA-BETA alpha-beta pruning analogy analysis animal answer antecedent-consequent rules arch arrow Artificial Intelligence axioms beam search big table block breadth-first search brick brightness Cambridge certainty chapter choice clause Computer constraint propagation corresponding depth-first search determine difference distance example Exercise expression FALSE formula frame goal node grammar Happy heuristic idea illustrates Institute of Technology involved Is-a junction labels knowledge language learning link configuration logic look Macbeth Massachusetts Institute matching maximizer META-WASP move MOVEHAND MYCIN noun phrase octants On(B paradigm parse tree partial path PhD thesis position possible prepositional problem solving procedure queue red pyramid representation requires Robbie rule-based systems semantic sentence shown in figure shows silly robot situation slot spectrogram Squigs static evaluations step structure subfigures surface Suzie symbols thematic object thematic roles theorem things transition tree TRUE variable verb vertex VP-PPS wedge XCON zero crossings