Concepts and Representations

Thought and Learning Objectives

  • Key theme of cognitive processes.

  • Emphasis on distinguishing between various facets of thought.

  • Aims include understanding:

    • Different types of representations.

    • Models of categorization.

    • The role of schemas and scripts in cognition.


Concepts and Representation

  • Exploration of how concepts are formed and understood.

Analogical Representations:

  • Discussion on analogical representations as a pictorial translation of the world.

    • Example of analogical representation queried regarding “TALLAHASSEE”.

Symbolic Representations:

  • Explanation of symbolic representations as an arbitrary (random) translation of the world.

    • Example: Seeing a light bulb as an idea


Knowledge and Thinking

Thinking Defined:

  • Definition of thinking as the manipulation of mental representations.

  • Breakdown of processes involved in thinking:

    • (a) Taking information and considering it.

    • (b) Using information to build models of the world.

    • (c) Setting goals and planning actions.

Organization of Knowledge: Categories

  • Focus on how knowledge is organized, often in categories

Categorization Process:

  • Discusses the process of categorization based on common features in species.

    • Example includes:

      • Eyebrow muscles, Social behaviors, and features such as being intelligent and having four legs.

  • Not every animal, or dog in this case, has those traits


Categorization Strategies

  • Description of different strategies for categorization:

Prototype Model:

  • Definition of a prototype as the perfect idea of a dog.

  • Reinforcement of the concept of a prototype.

    • Example: The best idea of a dog could be a golden retriever

Exemplar Model:

  • Focus on exemplars as examples from which categories are understood.

  • Comparing each candidate to a wide range of group members 

    • Example: comparing to dogs as a whole


Schemas and Scripts

Schemas

  • Examination of schemas and their roles in organizing knowledge.

    • Example: How you would behave at a chicken tender place vs. a fancy dinner

Scripts

  • You know what will happen

    • Example: At a nice place, you expect to pay after your meal vs. paying ahead of time at the chicken place


Decision Making

  • Introduction to decision-making processes with a focus on mental models involved.

  • Ways to make correct decisions: Identify the important criteria and then select the best option

Learning Objectives for Decision Making

  • Goals for learning about decision-making:

    • Definition of heuristics.

    • Evaluation of the advantages and disadvantages of using heuristics.

    • Generation of real-life examples involving heuristics.

    • Identification of strategies used in daily problem-solving.


Heuristics: Mental Shortcuts

  • Explanation of heuristics as mental shortcuts to facilitate quick and efficient decision-making.

    • Mention of “RULE OF THUMB” as a common heuristic.

Heuristic 1: Relative Comparisons

  • Anchoring: Making decisions based on available reference points

    • Examples:

      • Assessing test scores based on context (75 scores from different averages).

      • What score did you get? If you got a 75 and everyone got that, you feel better as opposed to you getting a 75 when everyone else passed.

  • Framing: Making decisions based on what information is emphasized

    • Emphasis on how information is presented can influence decisions.

    • Example: Sales; Movie theater popcorn (you can get twice as much for only a dollar more)

Heuristic 2: Availability

  • Insight into decision-making influenced by readily available information:

    • Example: Dressing warmer because it has been cold the past few days

Heuristic 3: Representativeness

  • Description of making decisions based on category stereotypes and assumptions.

    • Example: Long-established stereotype that people who wear glasses are smart

Heuristic 4: Confirmation Bias

  • Focusing only on information that supports your views

    • Cartoon illustration about ignoring contradictory data in decision-making.

Cons of Heuristics

  • Can lead to stereotypes 

  • They can just be flat out wrong

Emotional Factors in Decision Making:

  • Emotional impacts of decisions

  • Prior experiences 

  • Emotional forecasting (I’ve never been in this situation before, but this is how I think I will feel)


Problem Solving

  • Identify present and goal states

  • Overcome obstacles to achieve the goal state

    • Ex: hungry and you want food, so you go and get food; Tower of Hanoi Problem

Problem Restructuring

  • Representing the problem in a novel way

  • Breaking out of previous experience 

  • Functional Fixedness: A cognitive bias that describes the tendency to perceive and use objects only in their traditional or familiar functions, without considering alternative uses

    • Ex: Someone is trying to fix their hair that got messed up, but doesn’t remember that you can use your phone as a mirror