Artificial Intelligence, Volumen1McGraw-Hill, 1983 - 436 páginas What is artificial intelligence?; Problem solving; Problems and problem spaces; Basic problem-solving methods; Game playing; Knowledge representation; Knowledge representation using predicate logic; Knowledge representation using other logics; Structured representation of knowledge; Advanced topics; Advanced problem-solving systems; Natural language understanding; Perception; Learning; Implementing A.lI. systems: languages and machines; Conclusion; References; Index. |
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Página 27
... space , where each state corresponds to a legal position of the board . We can then play chess by starting at an initial state , using a set of rules to move from one state to another , and attempting to end up in one of a set of final ...
... space , where each state corresponds to a legal position of the board . We can then play chess by starting at an initial state , using a set of rules to move from one state to another , and attempting to end up in one of a set of final ...
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... space representation . But we have said nothing about how we constructed that representation . How might we design a ... SPACES CHAP . 2 Chapter 2 Problems and Problem Spaces.
... space representation . But we have said nothing about how we constructed that representation . How might we design a ... SPACES CHAP . 2 Chapter 2 Problems and Problem Spaces.
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... space of lists of constraints , the other of which operates in the original problem space but the rule patterns and the heuris- tic function make reference to the current position in the constraint space . Another way of viewing ...
... space of lists of constraints , the other of which operates in the original problem space but the rule patterns and the heuris- tic function make reference to the current position in the constraint space . Another way of viewing ...
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addition algorithm already answer appear applied approach appropriate Artificial Intelligence attempt better block called Chapter choose clauses combined complete concept consider contains corresponding dependency described discussed domain example exploit explore fact frame function given goal grammar graph heuristic important indicates initial input interpretation involved John kinds knowledge labelings language learning logic look machine Marcus match means methods move natural necessary node objects occur operators particular path patterns perform position possible predicate present problem procedure produce prove question reasoning representation represented result rules satisfied script selected semantic sentence shown in Figure shows simple single situation solution solve space specific stack statement step stored structure Suppose task techniques things tion tree true understanding variety