Chapter_7._Thinking_and_Intelligence

Chapter 7: Thinking & Intelligence

1. The Cognitive Revolution

  • Cognition: Refers to the way in which information is processed and manipulated in processes such as remembering, thinking, and knowing.

  • Triggered by the advent of computers in the 1950s, leading to an intersection between computer science and the study of human cognition.

  • The rise of Artificial Intelligence (AI) facilitated practical applications of cognition.

2. Thinking

  • Involves the mental manipulation of information in various ways:

    • Forming concepts

    • Solving problems

    • Making decisions

    • Reflecting critically or creatively

3. Concepts

  • Definition: Mental categories used to group objects, events, and characteristics.

  • Importance of concepts:

    • Facilitates generalization.

    • Enables association of experiences and objects.

    • Aids in memory.

    • Provides clues on expected reactions to specific objects or experiences.

  • Prototype Model: Suggests that we categorize new instances based on how closely they resemble a typical case (or prototype).

4. Problem Solving

  • Definition: The process of finding appropriate means to reach a goal that is not readily available.

  • Steps involved in problem solving:

    • Find and frame problems.

    • Develop effective problem-solving strategies including:

      • Subgoaling: Breaking problems into smaller, manageable parts.

      • Algorithms: Step-by-step procedures that guarantee a solution.

      • Heuristics: Mental shortcuts that simplify decisions.

    • Evaluate solutions.

    • Rethink and redefine problems and solutions over time.

5. Obstacles to Problem Solving

  • Fixation: The tendency to use a prior strategy and not view the problem from a fresh perspective.

  • Functional fixedness: Difficulty solving a problem due to focusing on the usual function of an object.

  • Effective problem-solving often requires trying novel approaches.

6. Reasoning and Decision Making

  • Reasoning: The mental process of transforming information to reach conclusions.

    • Inductive reasoning: Making generalizations from specific observations.

    • Deductive reasoning: Drawing specific conclusions from general principles.

  • Decision making: Involves evaluating alternatives and selecting among them, typically without established rules or known consequences.

7. Systems in Reasoning and Decision Making

  • Two systems of reasoning:

    • Automatic: Rapid, intuitive, heuristic processing based on gut feelings.

    • Controlled: Involves conscious reflection, is slower, effortful, and analytical.

8. Biases in Decision Making

  • Confirmation bias: Focusing on information that supports existing beliefs while disregarding contradicting evidence.

  • Hindsight bias: Misremembering one's predictions after an event has occurred.

9. Heuristics in Decision Making

  • Availability heuristic: Judging the likelihood of an event based on how easily examples come to mind.

  • Base rate fallacy: Ignoring general information in favor of vivid, specific instances.

  • Representativeness heuristic: Making decisions based on how closely an instance matches a stereotype.

10. Thinking Critically

  • Definition: Reflectively evaluating evidence and arguments.

  • Cultivation of two mental habits:

    • Mindfulness: Being actively aware and present in daily activities.

    • Open-mindedness: Being receptive to alternative perspectives.

11. Thinking Creatively

  • Definition: Approaching problems in unconventional ways.

  • Divergent thinking: Generating multiple solutions for a single problem.

    • Brainstorming

  • Convergent thinking: Identifying the single best solution to a problem.

  • Characteristics of creative thinkers:

    • Flexibility and playful thinking.

    • Intrinsic motivation.

    • Willingness to take risks.

    • Capacity for objective evaluation of their work.

12. Intelligence

  • Intelligence definitions vary across cultures.

  • Generally considered an ability to:

    • Perform well on cognitive tasks.

    • Solve problems.

    • Learn from experience.

13. Measuring Intelligence

  • Criteria for effective intelligence tests:

    • Validity: Measures what it claims.

    • Reliability: Provides consistent results.

    • Standardization: Uniform procedures for administration and scoring.

    • Establishes performance standards.

14. IQ Tests

  • Development of mental age concept by Binet: Indicates an individual's mental development relative to others.

  • IQ Formula: IQ = (Mental Age / Chronological Age) x 100.

  • Normal distribution: Scores spread out in a bell curve format.

15. Cultural Bias in IQ Testing

  • Culturally biased tests tend to favor:

    • Urban over rural populations.

    • Individuals from middle socioeconomic backgrounds.

    • White over African American populations.

  • Culturally-fair tests: Designed to be neutral, often exclude verbal questions (Example: Raven Progressive Matrices).

16. Genetic Influences on Intelligence

  • Heritability: Estimated at approximately 0.50, meaning genetic factors play a significant role in intelligence but can vary by environment.

  • Environmental Factors: Significant variables that can influence intelligence levels (e.g., education, socioeconomic status).

  • Flynn Effect: A notable increase in IQ scores over time due to various factors.

17. Extremes of Intelligence

  • Giftedness: Exceptional intellectual ability or talent, often influenced by both heredity and environment.

  • Intellectual disability: Represents restricted mental capacity, characterized by low IQ.

    • Types:

      • Organic: Resulting from physical conditions.

      • Cultural-familial: Influenced by environmental and cultural factors.

18. Theories of Multiple Intelligences

  • Sternberg’s triarchic theory posits three forms of intelligence:

    • Analytical Intelligence: Ability to analyze, judge, evaluate, and contrast.

    • Creative Intelligence: Capacity to create, design, invent, and imagine.

    • Practical Intelligence: Skill in applying, implementing, and executing ideas effectively.