REASONING

Metaphors and Cognitive Categories

  • Metaphors: The metaphors people use are generally mapped at the superordinate level (Lakoff, 1997).

    • Superordinate level allows mapping of multiple rich concepts onto current situations, while basic-level categories contain the richest information.

  • Cultural Variations in Basic-Level Categories:

    • Basic-level categories vary across cultures (Medin et al., 2002).

    • For example, love is a basic-level concept in Western cultures.

    • Native American Utku have two concepts of love:

      1. Love for those in need of protection

      2. Love for those who are charming or admired (Russell, 1991).

  • Neuroimaging Research:

    • Different levels of categorization activate distinct cognitive processes and neural networks (Kosslyn et al., 1995).

    • Study details:

      • Participants analyzed line drawings followed by category words, some at the basic level (e.g., shirt), subordinate (e.g., dress shirt), or superordinate (e.g., clothing).

    • Findings: Superordinate level activates left prefrontal cortex; subordinate level activates right prefrontal cortex, involved in visual attention.

  • Hierarchical Organization of Concepts:

    • Concepts are hierarchically ordered: basic level (most natural), superordinate (one level up), and subordinate (one level down).

    • Culture affects both basic categorizations and grouping strategies for problem-solving.

Reasoning, Problem Solving, and Decision Making

8.2 Learning Outcome

  • Distinguish between reasoning, problem-solving, and decision-making.

Cognitive Building Blocks

  • Mental images, models, and concepts are the core building blocks of thought.

  • People manipulate current information through stored memory.

Reasoning

  • Definition: Process of generating and evaluating arguments and beliefs to solve problems (Anderson, 1985; Holyoak & Spellman, 1993; McCrudden & Barnes, 2016).

  • Types of Reasoning:

    • Inductive Reasoning: Moves from specific observations to general propositions (Heit, 2000; Holland et al., 1986).

    • Example: Casual contact does not transmit HIV, inferred from observations of individuals with different interactions with HIV-positive individuals.

    • Inductive reasoning relies on probabilities; conclusions drawn are not guaranteed to be true.

    • Deductive Reasoning: Draws conclusions from a set of premises based on logical rules.

    • Example: Syllogism example involving dogs and fur.

    • Deductive reasoning can lead to certain conclusions when premises are valid.

  • Neural Activation in Reasoning:

    • Inductive reasoning activates the prefrontal cortex, caudate, putamen, and thalamus (Mei et al., 2010).

    • Deductive reasoning activates left fronto-parietal regions (Prado et al., 2011).

  • Effect of Content on Deductive Reasoning:

    • The effectiveness of solving deductive problems can vary significantly based on whether content is abstract or concrete (Cosmides, 1989; Wilkins, 1982).

    • Wason Card Problem illustrates difficulties in deduction with abstract rules.

    • Contextualized variants (e.g., alcohol laws) yield better problem-solving success.

  • Cultural Influences on Reasoning:

    • Research indicates that reasoning styles can differ across Western and Eastern cultures (Norenzayan & Nisbett, 2000).

    • Western thought emphasizes the law of non-contradiction.

    • Eastern thought finds wisdom in contradictions (e.g., principles of yin and yang).

Analogical Reasoning

  • Definition: Understanding novel situations based on familiar ones (Gentner & Holyoak, 1997).

    • Analogies are used to categorize, make inferences, and solve problems.

  • Examples of Analogy:

    • Dave Warner's comparison of cricket to warfare during a significant sporting event.

    • Highlights the significance and intensity of competition, showing how analogies can enhance understanding of behaviors in specific contexts.

    • Political discourse often employs analogies to frame discussions, such as using cycling for same-sex marriage debates (as used by Kevin Andrews).

Problem Solving

  • Definition: Transforming a current unsatisfactory state into a goal state (Gilhooly, 1989; Greeno, 1978).

Types of Problems

  • Well-Defined Problems: Clear solutions and criteria for success.

  • Ill-Defined Problems: Ambiguity in information and criteria; e.g., raising employee morale.

  • Strategies for Problem Solving:

    • Use of operators: mental and behavioral processes to transform states (Miller et al., 1960; Newell & Simon, 1972).

    • Subgoals: intermediate goals that facilitate problem solving (e.g., Tower of Hanoi problem).

Problem-Solving Strategies

  • General Strategies:

    • Algorithms: systematic procedures guaranteed to find a solution (Anderson, 1995).

    • Example: Search operations in computer memory.

    • Mental Simulation: Imagining problem-solving steps before execution (Taylor et al., 1998).

  • Effectiveness:

    • Example study on exam performance, showing mental simulation drives better study habits compared to positive thinking alone.

  • Hypothesis Testing: Making educated guesses and testing them.

Common Errors in Problem Solving

  • Functional Fixedness: Ignoring other potential uses for objects (Duncker, 1946).

  • Confirmation Bias: Searching for information that confirms existing beliefs (Klayman & Ha, 1989).

    • Example: Participants struggle to discern a simple sequence rule.

Overcoming Barriers

  • Restructuring Problems: Finding innovative representations to escape fixed thinking patterns. Examples include Sheerer's nine-dot problem.

Decision Making

  • Definition: Weighing the pros and cons of alternatives before making a choice.

Decision-Making Process

  1. Defining the Problem: Understanding the central decision (e.g., lunch options).

  2. Defining Alternatives: Exploring available choices.

  3. Deciding on Criteria: Key factors influencing the decision.

  4. Weighing the Pros and Cons: Analyzing options based on previous criteria.

  5. Making the Decision: Finalizing the choice.

  • Utility Theory: Cognitive model where individuals evaluate options' utility and the probability of outcomes (Edwards, 1977).

    • Development of a weighted utility value based on decision criteria.

  • Cognitive Rationality: Discussions on how human decision-making diverges from rational model assumptions (Mellers et al., 1998).

Cognition and Motivation in Decisions

  • Implicit Cognition: Yields automatic judgments outside awareness.

  • Emotional Impact: Emotions significantly influence decision-making, for example, regret in failing lotteries (Kahneman & Tversky, 1982).

Language: Structure and Elements

8.4 Learning Outcome

  • Definition of Language: A system of symbols, sounds, meanings, and rules for communication.

  • Components of Language:

    • Phonemes: Smallest sound units.

    • Morphemes: Smallest meaning units.

    • Phrases: Groups of words conveying meaning.

    • Syntax: Rules governing sentence structure.

Language Development

  • Stages of language acquisition and environmental influences.

  • Critical Period for Language Development: Optimal times for language learning (Lenneberg, 1967).

Language and Cognitive Development

8.5 Language Acquisition Stages

  1. Reflexive Communication (1-5 Months): Random vocalizations.

  2. Babbling (6-18 Months): Sounds approximate human speech.

  3. First Words (10-13 Months): Single-word use begins.

  4. One-Word Sentence Stage (12-18 Months): Vocabulary increases.

  5. Two-Word Sentence Stage (2 Years): Uses telegraphic speech.

  6. Complete Sentences (4 Years): Majority of sentences are grammatical.

Implicit and Explicit Cognition

  • Cognitive Processing: Both explicit (conscious) and implicit (automatic) processes are crucial for problem-solving and decision-making.

  • Nonverbal Communication: Significantly impacts language understanding and social interactions.

Conclusion

  • Human cognition is a complex blend of reasoning, decision-making, language, and the influence of culture, motivation, and emotion. These aspects work together to influence how we perceive and interact with the world.