1 / 7

Problem Solving

Problem Solving. PSY 421 – Fall, 2004. Overview. Defining Problems Approaches to studying problem solving Representing information for problem solving Heuristics Experts. Defining “Problems”. Basic Components Initial state Goal state Rules or constraints

febus
Download Presentation

Problem Solving

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Problem Solving PSY 421 – Fall, 2004

  2. Overview • Defining Problems • Approaches to studying problem solving • Representing information for problem solving • Heuristics • Experts

  3. Defining “Problems” • Basic Components • Initial state • Goal state • Rules or constraints • Obstacles to overcome (e.g., time) • Well-defined – clear and structured • Ill-defined – fuzzy and abstract • Perception of the solver makes a difference

  4. Studying Problem Solving • Behaviorists • Thorndike – cats in boxes – trial and error • Law of effect = if a response leads to a satisfying outcome, the connection between the response and situation will be strengthened • Gestalt Psychologists • Problem solving involves restructuring or reorganizing elements until a solution is realized • Kohler – apes and crates, sticks, etc. – sudden solutions (termed this “insight”) • Information Processing • General Problem Solver (GPS) – breaks down problems into subproblems to which different techniques are applied • Problem solving occurs through a series of steps from initial state to goal

  5. Representing information for problem solving • Example Problem • Determining the important aspects of the problem • Mental sets – reflect past experience • Functional fixedness – viewing objects in a narrow fashion (they only have one use) • Creative solutions and insight – AHA!

  6. Heuristics • Algorithm – systematic set of rules/steps to solve problems • Sometimes flowcharts are used to visualize algorithms • Heuristics – general strategies that can be applied to various problems • Working backwards • Means-end analysis – strategy used by GPS • Analogies – finding similarities across problems while ignoring the specifics (example)

  7. Experts • Exceptional knowledge and performance in a specific domain • What makes one an expert? • Advantages • Disadvantages

More Related