PSY 260 Lecture Notes - Lecture 23: Frame Problem, Anagrams, Computer Simulation
27 Nov 2018
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Document Summary
Participants speak thoughts aloud while solving problems. Construct models that can recreate human data (often after doing both of the above methods) Strategies may involve re-framing, assessing problem space (which depends on framing), creating subgoals, deciding on algorithms or heuristics, evaluating solutions and monitoring status. Not knowing the domain/knowledge you need to solve the problem. Problem space - a representation of the problem, often in the form of a tree diagram, with possible states and associated operations. Dimensions of problem not specified or easy to infer. Systematic procedure guaranteed to find solution, when an algorithm exists. Useful rule of thumb based on experience. Choose an action to bring you closer to goal. May not work if sub-goals can"t be identified or if success involves first moving away from the goal. Start at initial state; work toward goal. Figure out last step needed to reach goal, then next-to-the-last step, etc. Generate hypotheses one at a time; test til right.
