2.2

Cognition, Metacognition, and Concepts

• Cognition and Metacognition Definitions:

  • Cognition refers to the mental activities associated with thinking, knowing, remembering, and communicating information.
  • Metacognition literally translates to "beyond cognition" and refers to thinking about our thinking—specifically, the mental processes involved in planning, monitoring, and assessing our own understanding and performance.
  • Students who actively employ metacognition to monitor and evaluate their learning achieve superior academic performance (de Boer et al., 2018).

• Functions and Characteristics of Concepts:

  • Concepts are mental groupings of similar objects, events, ideas, or people.
  • Example: The overarching concept chair encompasses diverse items such as a baby's high chair, a reclining chair, and a dentist's chair, all unified by the function of sitting.
  • Concepts simplify thinking by allowing individuals to process vast amounts of information with minimal cognitive effort. Without concepts, direct commands (e.g., asking a child to "throw the ball") or general desires (e.g., wanting to "earn money") would be unintelligible, as there would be no underlying categories for throw, ball, earn, or money.

• Prototypes and Categorization:

  • A prototype is a mental image or best example of a specific category (Rosch, 1978).
  • Items that closely match a prototype are recognized and categorized far more rapidly. For instance, people agree more quickly that "a crow is a bird" than that "a penguin is a bird" because a crow more closely resembles the typical bird prototype ("birdier bird").
  • Categorizing individuals often leads people to mentally shift those individuals toward category prototypes.
  • Blended Face Experiment (Corneille et al., 2004):
  • Belgian students were shown ethnically blended faces. When viewing a face composed of $70\%$ prototypically White features and $30\%$ Asian features, participants initially categorized the face as White.
  • In subsequent memory tests, participants' recall shifted further toward the White prototype, misremembering the face as being $80\%$ White rather than the $70\%$ White face actually observed.
  • Conversely, when shown a face that was $70\%$ Asian, participants later recalled an even more prototypically Asian face.
  • Sex Categorization Study (Huart et al., 2005):
  • Participants who viewed faces that were $70\%$ male later misremembered them as being even more prototypically male.
  • Cross-Cultural Variations:
  • While prototype usage is universal, specific prototypes vary culturally. Testing the same blended faces in Tokyo or Mombasa might produce different categorization thresholds.

• Blurring Category Boundaries and Real-World Consequences:

  • Moving away from category prototypes blurs category boundaries, slowing down recognition and causing misclassifications:
  • Botanical/Botanical-classification queries: Is a tomato a fruit?
  • Developmental thresholds: Is a $17\text{-year-old}$ female a girl or a woman?
  • Zoological classification: Is a whale a fish or a mammal? Because whales lack prototypical mammal traits (e.g., land dwelling, hair), recognition of whales as mammals is significantly slower.
  • Medical Symptoms (Bishop, 1991):
  • When illness symptoms fail to match disease prototypes, individuals are slow to perceive sickness. People experiencing heart attack symptoms consisting of shortness of breath, exhaustion, and a dull chest weight may fail to seek emergency medical help because these do not match the standard prototype of sharp chest pain.
  • Prejudice and Discrimination Detection:
  • When discriminatory behaviors fail to fit explicit prototypes (such as White against Black, male against female, or young against old), individuals frequently fail to perceive prejudice.
  • People detect male prejudice against females far more readily than female prejudice against males or female prejudice against females (Cunningham et al., 2009; Inman & Baron, 1996).

• Piaget’s Schema Theory, Assimilation, and Accommodation:

  • Developmental psychologist Jean Piaget argued that intellectual progression is an unceasing effort to make sense of experiences.
  • Schema: A concept or mental mold into which individuals pour their experiences.
  • Example: Historical marriage schemas viewed marriage strictly as a union between a man and a woman. By $2023$, more than two dozen countries had legalized same-sex marriage, reflecting and updating societal marriage schemas.
  • Schemas simplify the world but can induce social bias (e.g., a schema asserting that women are not proficient in science leads to discounting female scientists' achievements).
  • Assimilation: Interpreting new experiences in terms of current, existing schemas.
  • Example: A toddler with a simple schema for dog may call all four-legged animals "dogs."
  • Accommodation: Adapting or refining current schemas to incorporate new information provided by new experiences.
  • Example: A toddler learns that the original dog schema is excessively broad and accommodates by restricting the category dog and creating new categories for other four-legged creatures.

Creativity and Fostering Creative Thought

• Defining Creativity:

  • Creativity is the ability to produce novel and valuable ideas (Hennessey & Amabile, 2010).
  • Andrew Wiles Example:
  • Pierre de Fermat proposed Fermat’s Last Theorem in the $17\text{th}$ century. Despite a prize offered in $1908$ worth $2\text{ million dollars}$ in modern currency, the problem went unsolved for centuries.
  • Mathematician Andrew Wiles pondered the theorem for over $30\text{ years}$. One morning, an unexpected, simple, and elegant revelation struck him out of the blue during a moment of mind wandering.
  • Creative writers and physicists similarly report that many significant ideas occur unbidden during periods of mind wandering (Gable et al., 2019).

• Aptitude, Convergent Thinking, and Divergent Thinking:

  • Creativity requires a foundational level of aptitude (the ability to learn). Individuals scoring exceptionally high in quantitative aptitude at age $13$ are statistically more likely to produce published or patented works later in life (Bernstein et al., 2019; Lubinski et al., 2014).
  • Convergent Thinking: Thinking required by traditional aptitude tests (such as the SAT), which demands narrowing down options to arrive at a single correct answer.
  • Divergent Thinking: Thinking required by creativity tests (e.g., generating alternate uses for a single brick), which demands considering many different options and thinking in novel ways.
  • Functional Fixedness: An obstacle to problem solving where prior experiences inhibit the ability to find creative solutions (Chrysikou et al., 2016). For example, a bricklayer might only view a brick as a component of a house rather than as a potential doorstop.

• Characteristics of Creative Individuals:

  • Researcher Sally Reis (2001) found that notably creative women, such as Nobel laureate geneticist Barbara McClintock, were typically characterized as intelligent, hardworking, imaginative, and strong-willed during childhood.
  • Author Alice Munro ($2013$ Nobel Prize for Literature) emphasized that the creative process requires rigorous labor, particularly during revision stages when initial drafts appear flawed.

• Sternberg’s Five Components of Creativity (Sternberg, 1988, 2003; Sternberg & Lubart, 1991, 1992):

  • Expertise: A well-developed base of knowledge providing mental building blocks. As Louis Pasteur noted, "Chance favors only the prepared mind." The more building blocks available, the greater the opportunities to combine them in novel ways. Working longer on a problem yields increasingly creative solutions (Lucas & Nordgren, 2020).
  • Imaginative Thinking Skills: The ability to see things in novel ways, recognize underlying patterns, and make connections after mastering basic problem elements.
  • A Venturesome Personality: A disposition that actively seeks new experiences, tolerates ambiguity and risk, and perseveres through obstacles.
  • Intrinsic Motivation: Being driven by internal interest, personal satisfaction, and challenge rather than extrinsic motivators like deadlines, financial reward, or impressing others (Amabile & Hennessey, 1992).
  • A Creative Environment: A setting that sparks, supports, and refines creative ideas. A career study of $2026$ prominent scientists and inventors revealed that the most eminent were mentored, challenged, and supported by colleagues (Simonton, 1992). Effective environments promote innovation, team building, and communication (Hülsheger et al., 2009) while minimizing anxiety and fostering contemplation (Byron & Khazanchi, 2011).

• Evidence-Based Strategies for Boosting Creativity:

  • Develop Expertise: Follow personal passion by broadening knowledge and mastering a specific field.
  • Allow Time for Incubation: Think deeply about a problem, then set it aside. Periods of inattention ("sleeping on it") allow automatic, nonconscious processing to form novel associations (Zhong et al., 2008).
  • Set Aside Time for Free Mind-Roaming: Creativity relies on "defocused attention" (Simonton, 2012a,b). Disconnect from attention-grabbing media (television, social media, video games) and engage in solitude activities like walking, jogging, or meditating. Musician Lin-Manuel Miranda highlighted time alone as the primary font of creativity (Hainey, 2016).
  • Experience Other Cultures and Perspectives: Exposure to foreign cultures and intercultural friendships fosters flexible thinking and improves the ability to blend disparate cultural norms into creative solutions (Godart et al., 2015; Lu et al., 2018; Kim et al., 2013; Ritter et al., 2012).

Problem-Solving Strategies and Obstacles

• Executive Functions and Problem-Solving Strategies:

  • Executive functions are high-level cognitive abilities that collectively permit problem solving and decision making.
  • Trial and Error: Testing solutions randomly until one works. Thomas Edison used trial and error across thousands of light bulb filaments before discovering a functional material.
  • Algorithms: Methodical, step-by-step rules or procedures that guarantee a solution. Algorithms can be laborious and slow. Finding a word from the $10$ letters in SPLOYOCHYG via an algorithm requires evaluating all $907{,}200$ permutations.
  • Heuristics: Simple, efficient thinking strategies that allow rapid problem solving. In the SPLOYOCHYG anagram example, heuristics reduce options by grouping common letter pairs (such as CH and GY) and excluding rare combinations (such as YY), leading efficiently to the solution PSYCHOLOGY.
  • Insight: A sudden realization of a problem's solution without an explicit step-by-step procedure ("Aha!" moment).

• Neural Mechanics and Animal Evidence of Insight:

  • Brain Activity During Insight (Kounios & Beeman, 2014; Jung-Beeman et al., 2004):
  • Participants solved word-association tasks requiring them to identify a single word forming a compound phrase with three given words (e.g., cream, skate, water -> ice).
  • Prior to insight, EEG recordings showed high activity in the frontal lobes involved in focusing attention.
  • At the exact instant of insight, a distinct burst of high-frequency electrical activity occurred in the right temporal lobe, situated just above the ear.
  • Insight in Chimpanzees (Köhler, 1925):
  • Wolfgang Köhler placed a piece of fruit and a long stick outside the cage of a chimpanzee named Sultan, beyond his physical reach, placing a shorter stick inside the cage.
  • After failed attempts to reach the fruit with the short stick, Sultan dropped the stick, surveyed the room, and suddenly seized the short stick to pull the long stick into his cage. He then used the long stick to successfully retrieve the fruit.
  • Insight in Birds and Other Animals:
  • Christopher Bird and Nathan Emery (2009) demonstrated insight in crows using a setup inspired by Aesop's fable, where a thirsty crow dropped stones into a partially filled pitcher to raise the water level within reach.
  • Crows also fashion wire or sticks to extract insects from rotting logs (Jelbert et al., 2018; Rutz et al., 2016).
  • An African grey parrot equaled or outperformed Harvard students in a complex shell game testing visual memory (Pailian et al., 2020).

• Obstacles to Effective Problem Solving:

  • Confirmation Bias: The tendency to search eagerly for evidence supporting pre-existing ideas while ignoring or discounting contradictory evidence (Klayman & Ha, 1987; Skov & Sherman, 1986).
  • Wason’s 2-4-6 Experiment (Wason, 1960):
    • Peter Wason gave British university students the sequence 2-4-6 and told them it conformed to a specific rule.
    • Students were instructed to generate their own three-number sequences to test their hypothesis, and Wason confirmed whether the sequences met the rule. The actual rule was simply any three ascending numbers.
    • Most students formulated an incorrect initial rule (e.g., "counting by twos") and tested only confirming evidence (e.g., testing 6-8-10 or 100-102-104), failing to generate disconfirming sequences (e.g., 1-2-3 or 5-4-3). Consequently, students confidently announced incorrect rules.
  • Fixation: The inability to see a problem from a new or fresh perspective.
  • The Matchstick Problem: Arranging $6$ matches to form $4$ equilateral triangles requires breaking two-dimensional cognitive boundaries to construct a three-dimensional pyramid.
  • Mental Set: A prime example of fixation referring to the tendency to approach a problem with a mindset that was previously successful.
  • Sequence 1: O-T-T-F-?-?-? -> The missing letters are F, S, S (representing Five, Six, Seven).
  • Sequence 2: J-F-M-A-?-?-? -> Solving Sequence 1 creates a mental set that can assist or hinder solving Sequence 2, where the missing letters are M, J, J (representing May, June, July).
  • Mental set acts like a perceptual set for thought, restricting processing when old strategies do not apply to novel dimensions.

Intuition, Heuristics, and Decision Making

• Intuition Defined:

  • Intuition refers to our fast, automatic, unreasoned feelings and thoughts.
  • Social psychologist Irving Janis (1986) noted that government, business, and education policy makers rarely use systematic, reflective problem-solving approaches, making major decisions based on intuitive gut feelings.

• The Representativeness Heuristic:

  • Definition: Judging the likelihood of an event or entity by intuitively comparing it to a particular prototype (Tversky & Kahneman, 1974).
  • Professor vs. Truck Driver Example (Nisbett & Ross, 1980; Bordalo et al., 2021):
  • A person is described as short, slim, and fond of reading poetry. When asked if this person is more likely to be an Ivy League English professor or a truck driver, most individuals guess English professor because the description matches their prototype of a professor.
  • This judgment ignores base rates: there are fewer than $400$ Ivy League English professors in the United States compared to $3.5\text{ million}$ truck drivers ($7000\text{ times}$ more drivers). Mathematically, the individual is vastly more likely to be a truck driver.
  • Consequences of Representativeness Heuristic:
  • Racial and Social Bias: When societal stereotypes serve as prototypes, applying the representativeness heuristic leads to automatic, biased judgments of individuals.
  • Gambler’s Fallacy: Observing repeated random events (e.g., a fair coin landing on heads $8$ consecutive times) leads individuals to assume tails is mathematically overdue on the next toss, treating random sequences as representative of long-term probability distributions.

• The Availability Heuristic:

  • Definition: Estimating the commonality or likelihood of an event based on its mental availability—specifically how easily vivid, recent, or distinctive instances come to mind.
  • Examples of Distorted Judgments:
  • Terrorist acts: Watching a graphic terrorist event implants lingering fear of global terrorism for up to $2\text{ years}$ (Redmond et al., 2019).
  • Dramatic images: Photos of children separated at the U.S. border or the appointment of a working mother to the U.S. Supreme Court alter long-term public sentiment.
  • Medical misinformation: A celebrity's vivid narrative regarding a child developing autism post-vaccination proved more persuasive to thousands of parents than replicated scientific studies disproving the vaccine-autism link (Hoffman, 2019).
  • Climate Change Perception: Fluctuations in daily local weather (cognitively available) disproportionately alter individual beliefs regarding long-term global climate change (Egan & Mullin, 2012; Kaufmann et al., 2017; Zaval et al., 2014).
  • Public Health Packaging: Over $40$ nations mandate graphic photos and warnings on cigarette packages to leverage the availability heuristic against smoking (Riordan, 2013).
  • Humanitarian Aid: In $2015$, a viral photo of a deceased Syrian child on a beach yielded Red Cross donations for Syrian refugees that were $55\text{ times}$ higher than responses driven purely by statistical reports of hundreds of thousands of refugee deaths (Slovic et al., 2017).

• Developing Arguments: The Fear Factor:

  • Statistically, flying on commercial airliners is far safer than driving in automobiles.
  • Reasons individuals fear the wrong risks (e.g., flying over driving):
  1. Evolutionary Preparedness: Humans are evolutionary predisposed to fear confinement and heights.
  2. Lack of Control: Driving permits personal control, whereas air travel delegates control to unknown pilots.
  3. Immediate vs. Distant Dangers: Flying involves concentrated, dramatic risk, whereas driving involves distributed risk.
  4. Availability Heuristic: Graphic, highly publicized images of air disasters pop readily into memory, making plane crashes feel far more frequent than automotive crashes.

Overconfidence, Belief Perseverance, and Framing

• Overconfidence and Its Failures:

  • Definition: The tendency to overestimate the accuracy of personal knowledge, judgments, and beliefs.
  • Fact Accuracy Study (Fischhoff et al., 1977): When answering factual questions (e.g., "Is absinthe a liqueur or a precious stone?"), participants achieved an actual accuracy rate of $60\%$ (absinthe is a liqueur), yet expressed an average confidence rating of $75\%$.
  • The Planning Fallacy: Overestimating future leisure time and income while underestimating project completion times (Zauberman & Lynch, 2005). Students and workers regularly expect to finish projects early, but tasks routinely require approximately $2\text{ times}$ the predicted duration (Buehler et al., 1994, 2002).
  • Sunk-Cost Fallacy: Continuing an ineffective course of action due to previous investments of time, money, or effort, even when changing strategies would yield better outcomes.
  • Real-World Costs: Overconfidence fuels extreme political views, leads to clinical misdiagnoses in medicine (Saposnik et al., 2016), and leads to intelligence failures. In a study of $743$ U.S. federal intelligence analysts, those whose forecasting predictions failed most consistently exhibited high closed-mindedness and inflexibility (Mellers et al., 2015).
  • Adaptive Benefits of Self-Confidence: Self-confident individuals make tough decisions with ease, live more happily, and are perceived as competent by others (Anderson et al., 2012). With prompt, clear feedback, individuals can recalibrate to be more realistic (Fischhoff, 1982).

• Belief Perseverance and Motivated Reasoning:

  • Definition: The tendency to cling to initial beliefs even in the face of direct, overwhelming contrary evidence.
  • Capital Punishment Experiment (Lord et al., 1979):
  • Participants with opposing viewpoints on capital punishment evaluated two scientific research reports—one supporting and one refuting the deterrent effect of the death penalty on crime.
  • Each group praised the study that agreed with their pre-existing stance while criticizing and discounting the opposing study.
  • Presenting mixed evidence widened the disagreement between the two groups rather than converging their opinions, a process known as motivated reasoning.
  • Remedy for Belief Perseverance (Lord et al., 1984):
  • Simply asking participants to be "as objective and unbiased as possible" failed to eliminate biased evaluations.
  • Instructing participants to consider the opposite ("whether you would have made the same high or low evaluations had exactly the same study produced results on the other side of the issue") successfully reduced evaluation bias (Catapano et al., 2019; Van Boven et al., 2019).

• Framing and Policy Nudges:

  • Definition: Framing refers to the specific manner in which an issue or choice is presented, which significantly influences attitudes and choices (Tversky & Kahneman, 1981).
  • Disease Outbreak Experiment (Tversky & Kahneman, 1981):
  • Participants evaluated strategies to combat a hypothetical disease expected to kill $600\text{ people}$.
  • When framed in terms of gains ("$200\text{ people}$ will be saved"), participants overwhelmingly favored the option compared to when the identical outcome was framed as a loss ("$400\text{ people}$ will die").
  • Behavioral Nudges (Thaler & Sunstein, 2008):
  • Dietary Choices: Labeling university dining hall vegetables with appealing descriptors (e.g., "Herb n' Honey Balsamic Glazed Turnips") significantly increased healthy food choices (Turnwald et al., 2019).
  • Retirement Savings: Changing retirement savings choices from an opt-in model to an automatic enrollment model with opt-out choices increased employee participation rates from $59\%$ to $86\%$ across $3.4\text{ million}$ analyzed workers (Rosenberg, 2010).
  • Charitable Donations: Prompting individuals with a moral mindset question ("What do you personally think is the morally right thing to do?") prior to allocating $5.00\text{ dollars}$ increased charitable giving by $44\%$ (Capraro et al., 2019).
  • Organ Donation: In countries where organ donation defaults to "Yes" (opt-out), donor consent rates approach $100\%$. In countries defaulting to "No" (opt-in), donor rates remain extremely low (Hajhosseini et al., 2013; Johnson & Goldstein, 2003).

The Perils and Powers of Intuition

• Powers of Intuition:

  • Recognition Born of Experience: Intuition is implicit (unconscious) knowledge accumulated over time. Mastered expertise enables rapid, highly accurate intuitive judgments among experienced nurses, firefighters, art critics, mechanics, and athletes (Chassy & Gobet, 2011; Gore & Sadler-Smith, 2011).
  • Adaptive Survival Functions: Intuition rapidly assesses environmental threats based on learned associations. Implicit gut feelings toward a partner predict future marital satisfaction among newlyweds (McNulty et al., 2017).
  • Unconscious Processing in Complex Choices:
  • In decision-making studies involving complex options (e.g., evaluating apartments or football matches), participants whose attention was briefly distracted—allowing nonconscious, automatic processing to incubate the problem—made smarter decisions than those forced to decide immediately or given extra time to analyze deliberately (Strick et al., 2010, 2011; Dijksterhuis & Strick, 2016).
  • Gathering complete information and allowing a complex problem to incubate ("sleeping on it") leverages nonconscious reasoning and planning (Creswell et al., 2013; Hassin, 2013; Lin & Murray, 2015).

• Perils of Intuition and Cognitive Reflection Tests:

  • Deliberate, conscious thinking outperforms instant intuition when evaluating analytical tasks, distinguishing real from fake news, or playing complex games like chess (Bago et al., 2020; Moxley et al., 2012).
  • The Bat and Ball Problem:
  • Problem: A bat and a ball cost $110\text{ cents}$ in total. The bat costs $100\text{ cents}$ more than the ball. How much does the ball cost?
  • Automatic Intuitive Answer: $10\text{ cents}$ (Incorrect).
  • Deliberate Mathematical Answer: $5\text{ cents}$ (Correct: Ball = $5\text{ cents}$, Bat = $105\text{ cents}$, Total = $110\text{ cents}$).
  • Emily’s Father Problem:
  • Problem: Emily’s father has three daughters. The first two are named April and May. What is the third daughter’s name?
  • Automatic Intuitive Answer: June (Incorrect).
  • Deliberate Answer: Emily (Correct).

Summary of Cognitive Processes and Strategies

• Algorithm:

  • Description: Methodical rule or procedure.
  • Powers: Guarantees an accurate solution.
  • Perils: Requires significant time and effort.

• Heuristic:

  • Description: Simple thinking shortcut (e.g., availability heuristic based on mental accessibility).
  • Powers: Enables efficient, quick decision making.
  • Perils: Puts processing at risk for systematic errors.

• Insight:

  • Description: Sudden "Aha!" realization of a solution.
  • Powers: Provides instant realization without conscious deliberation.
  • Perils: May fail to occur.

• Confirmation Bias:

  • Description: Searching exclusively for evidence supporting pre-existing views while ignoring contradictory evidence.
  • Powers: Rapidly identifies supporting evidence.
  • Perils: Hinders recognition of contradictory evidence and objective truths.

• Fixation:

  • Description: Inability to look at a problem from a fresh or new perspective.
  • Powers: Focuses cognitive effort on familiar frameworks.
  • Perils: Inhibits creative problem solving.

• Intuition:

  • Description: Fast, automatic, unreasoned feelings and thoughts.
  • Powers: Grounded in deep experience; highly adaptive and rapid.
  • Perils: Can lead to overfeeling and underthinking.

• Overconfidence:

  • Description: Overestimating the accuracy of personal knowledge, judgments, and beliefs.
  • Powers: Facilitates easier decision-making, promotes happiness, and conveys competence.
  • Perils: Increases risk for errors and planning failures.

• Belief Perseverance:

  • Description: Clinging to original beliefs despite direct contradictory evidence.
  • Powers: Maintains cognitive consistency and supports enduring beliefs.
  • Perils: Closes the mind to valid new ideas and objective evidence.

• Framing:

  • Description: Presenting or wording a statement/question to evoke a target response.
  • Powers: Influences decision-making and nudges positive behaviors.
  • Perils: Can mislead judgment and manipulate choices.

• Creativity:

  • Description: Ability to produce novel and valuable ideas.
  • Powers: Yields original insights, artistic works, and scientific products.
  • Perils: May distract from structured, routine, or standard procedures.