Module 8.2

Module 8.2 - Module 8.2 Solving Problems, Making Decisions,...

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Module 8.2 Solving Problems, Making Decisions, and Thinking Algorithm: a mechanical repetitive procedure for solving a problem or testing every hypothesis Heuristics: strategies for simplifying a problem and generating a satisfactory guess Work most of the time but not always Maximizing: thoroughly considering every possibility to find the best one Use of algorithm High maximizers usually make better choices - at least according to certain criteria However, they are usually less satisfied with their choices Satisficing: searching only until you find something satisfactory Use of heuristics Too many choices usually inhibit people from making a choice at all Representativeness heuristic: the assumption that an item that resembles members of some category is probably also in that category Before deciding whether something belongs in one category or another, should consider the base- rate information (how common the two categories are) Availability heuristic: the tendency to assume that if we easily think of examples of a category then that
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This note was uploaded on 01/26/2012 for the course 830 201 taught by Professor Leyton during the Spring '08 term at Rutgers.

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