Problem Solving Strategies Overview
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Questions and Answers

What characteristic distinguishes experts from novices in problem-solving?

  • Experts remember more general representations rather than specific details.
  • Experts tend to work backward to find solutions.
  • Experts often take more time to solve problems.
  • Experts form a plan before taking action. (correct)
  • Which of the following describes the Stroop Effect?

  • The representation of information without surface features.
  • The ability to read without consciously thinking about it.
  • The difficulty of naming colors when the words are printed in a different color. (correct)
  • The automatic control of attention in problem-solving.
  • How do experts typically represent novel situations in problem-solving?

  • By analyzing surface features.
  • By applying solution principles. (correct)
  • By focusing solely on previous solutions.
  • By creating random associations.
  • Which statement about automatic processes is true?

    <p>They can be performed with little to no conscious awareness.</p> Signup and view all the answers

    What aspect of unconscious thought is emphasized in the context of decision making?

    <p>It is an active process that is goal dependent.</p> Signup and view all the answers

    What is the first stage in the problem-solving process?

    <p>Representing and interpreting the problem</p> Signup and view all the answers

    Which problem-solving strategy involves reasoning from the goal to subgoals?

    <p>Working backward</p> Signup and view all the answers

    What concept describes the bias that limits the use of an object to its traditional function?

    <p>Functional fixedness</p> Signup and view all the answers

    What is the primary goal of the means-end analysis strategy?

    <p>To identify and mitigate differences between the current and desired states</p> Signup and view all the answers

    How is the difference-reduction method characterized in problem-solving?

    <p>Reducing the difference between the current state and the goal state</p> Signup and view all the answers

    According to problem-solving theories, which representation is often more beneficial for solving certain types of problems?

    <p>Visual representation</p> Signup and view all the answers

    What is an important initial step towards achieving a solution in problem-solving?

    <p>Arriving at a useful representation of the problem</p> Signup and view all the answers

    What does the term 'subgoals' refer to in the context of problem-solving?

    <p>Intermediate goals that lead to the main goal</p> Signup and view all the answers

    Study Notes

    Thought - Problem Solving

    • Problem solving involves a four-stage process:
      • Representing and interpreting the problem
      • Generating possible solutions
      • Testing solutions, seeking to disprove some
      • Evaluating the results, revising previous steps, if necessary
    • Problem solving involves an initial state and a goal state; breaking the problem into subgoals makes achieving the goal easier

    Problem Solving Strategies: Weak Methods

    • Difference-reduction method: Reduces the gap between the current state and the goal state by setting up subgoals. Subgoals, when achieved, bring the problem closer to the goal.
    • Means-end analysis: Identifying differences between the current situation and the desired goal, making changes to reduce those differences. This sophisticated approach allows actions that may temporarily worsen the situation, but ultimately move toward the goal.

    Problem Solving Strategies: Weak Methods (continued)

    • Working backward: Reasoning from the goal to achievable subgoals. Gradually moving toward more readily achievable subgoals, until a readily obtainable subgoal is reached.

    The Candle Problem

    • A classic problem illustrating problem-solving difficulties related to functional fixedness.

    Thought in Action: Problem Solving

    • Visual and propositional representations are useful in problem solving.
      • Visual representation is better suited for some problems.
      • Propositional representation may be better for other types of problems.
      • Imaginal thought uses analogical representations similar to perception.
      • Propositional thought relies on symbolic representations.

    Problem Solving: Representing the Problem

    • Finding a useful representation of a problem is crucial for successful solution.
    • Functional fixedness: This bias restricts the use of objects to their conventional roles.
    • Restructuring problems, thinking of them differently and considering analogies can lead to innovative and creative solutions.

    Problem Solving: Expert vs Novice

    • Experts approach problems qualitatively differently than novices.
      • Experts have a wider range of representations and more specific ones in memory.
      • Experts often represent novel situations based on general principles or structural features of solutions rather than superficial features.
      • Experts usually plan their approach before acting, using a forward direction strategy (moving from given problem information to a solution).
      • Novices often use a backward strategy.

    The Stroop Effect

    • The Stroop effect demonstrates interference between automatic reading and color naming tasks.

    Problem Solving: Automaticity

    • Automatic processes occur without conscious control.
    • Unconscious thought is an active process, goal-directed, and leads to different information representations, potentially improving complex decision-making.
    • Experience makes many cognitive processes automatic, including reading.

    Pre-Workout Meal Ideas

    • This section lists various pre-workout meal options.

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    Related Documents

    Problem Solving PDF

    Description

    Explore the essential strategies involved in problem solving, including the four-stage process and various weak methods such as difference-reduction and means-end analysis. Understand how these approaches can guide you in breaking down problems into manageable subgoals to efficiently achieve your desired outcomes.

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