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a systematic procedure that is guaranteed to lead to a correct solution to a problem |
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An artificial intelligence approach in which earlier cases (or instances) are retrieved and adapted to help solve the current problem |
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The tendency to see only the typical use of an object, rather than some new use that might help in solving a problem |
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A rule of thumb for problem solving or reasoning, which may lead to a correct answer but is not guaranteed to do so |
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A problem-solving heuristic in which one chooses whichever next step brings one closer to the goal |
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A problem in which the givens, goals, or means of transforming the conditions are not clearly specified |
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A problem-solving search heuristic in which one compares the current sate to the goal state and then chooses the problem operator that will most reduce the difference |
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A person who has some goal for which no simple direct means are known is said to face a problem. A problem consists of a goal, givens, means of transforming conditions, and obstacles |
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In a problem space, the processes that "move" the solver from one state to another state |
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The internal representation of the problem, consisting of states and operators |
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In a problem state, a state represents the information available to the problem solver in that situation, a "state" of knowledge. The problem solver moves along the states by applying problem operators |
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The data of a person talking during some task. Often these protocols are taken during problem solving, with the person asked to think aloud while solving the problem |
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A problem in which the goal, givens, and means of transforming the conditions are completely specified |
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A problem-solving heuristic that initially focuses on the goal. The solver applies operators to the goal state until it is transformed into one or more of the givens. The solution is then the inverse of each of these operators in the opposite order (ex. Form givens to goal) |
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