Cognitive Psychology, Problem-Solving Frameworks, and Cognitive Biases

Course Logistics, Schedule, and Assessment Rules

• Upcoming Unit 2 Examination Schedule and Requirements:
  • Homework Assignments: Unit 2 consists of three separate homework assignments (covering text and homework modules). All three assignments are due on September $7\text{th}$ at $11:59\,\text{PM}$.
  • Class Cancellations & Schedule Off-Days: No classes are held on September $6\text{th}$ due to mandatory faculty listening/training sessions ($8\,\text{hours}$ in duration). Normal class meetings resume on September $13\text{th}$ following fall break.
  • Test Availability Window: Test 2 opens on September $8\text{th}$ at $12:00\,\text{AM}$ (midnight) and closes on September $8\text{th}$ at $11:59\,\text{PM}$.
  • Test Constraints: The exam has a strict time limit of $90\,\text{minutes}$ and must be completed in a single sitting once launched.
  • Proctoring and Software Rules: The exam requires LockDown Browser. Webcam monitoring/camera feeds are explicitly not required for face-to-face students.
  • Permitted Materials: Students are authorized to use open notes, course materials, and personal resources during the examination.
  • Technical Support: Instructor office hours and real-time support via Blackboard messaging are available throughout the test day to handle software crashes, Blackboard reset requests, or system errors.

Fundamentals of Cognition and Cognitive Psychology

• Definition of Cognition: Cognition encompasses all mental processes involved in thinking, perceiving, problem-solving, judging, organizing knowledge, using language, and remembering.
• Cognition vs. Behaviorism:
  • Behaviorism (e.g., B.F. Skinner): Completely ignores internal mental processing, asserting that behavior is dictated entirely by external environmental reinforcements and punishments. Behaviorists claim anyone can be shaped into any role purely through environmental manipulation.
  • Cognitive Psychology: Directly opposes strict behaviorism by positioning internal mental processing, thought, perception, and decision-making as essential to understanding human behavior.
• Core Subfields and Features of Cognition:
  • Perception: How the brain interprets and makes sense of incoming sensory data.
  • Knowledge Representation: How information and concepts are organized in the mind.
  • Problem-Solving and Judgment: How choices, environmental assessments, and solutions are generated.
  • Language: Serving as the primary internal vehicle for thought; human thinking relies fundamentally on linguistic words and structure.
  • Memory: Encoding, storing, and retrieving information (a dedicated topic following fall break).
• The Evolutionary / Stone Age Brain Framework:
  • Primary Evolutionary Function: The biological brain (the "stone age" or "cave person" brain) evolved with the sole primary imperative of keeping the organism alive and uninjured.
  • Core Survival Tasks: Preventing predation, avoiding physical injury, preventing sickness/falls, and maintaining autonomic physiological processes (e.g., cardiac cycle, digestion).
  • Cognitive Efficiency: Because the brain is continuously managing physiological maintenance and threat evaluation, it automates mental processes using categorization and shortcuts to save energy and time.

Building Blocks of Thought: Concepts, Prototypes, Schemas, and Scripts

• Concepts:
  • Definition: Categories or mental groupings of linguistic information, images, ideas, and memories used to organize complex sensory input and recognize relationships among stimuli.
  • Abstract Concepts: Non-physical, non-tactile ideas (e.g., justice, freedom, love).
  • Concrete Concepts: Physical, observable entities (e.g., categories of birds, types of animals, physical structures).
• Prototypes:
  • Definition: The single best, most representative, or iconic mental example that automatically comes to mind when evaluating a given concept.
  • Example (Dog Prototype): Presenting the concept "dog" typically evokes a prototype of a large, furry Golden Retriever (commonly featured in media and family households) rather than an atypical breed like a hairless Chinese Crested.
  • Developmental Categorization in Children: Children form prototypes gradually. When encountering novel stimuli, incomplete prototypes lead to miscategorization errors:
    • A young child seeing a small, pointed-eared, hairless dog (or Chinese Crested) may misclassify it as a "cat" due to prototype mismatch.
    • Case Example (Bunny the Sheepadoodle): Bunny, a FluentPet button-using Sheepadoodle, classified a newly introduced small Chihuahua mix as a "cat" for an extended period because the tiny dog matched her mental prototype of a cat rather than her prototype of a dog.
    • Case Example (Insect Prototypes): A toddler using a "bee" as her prototype for flying insects initially referred to all flies, mosquitoes, and wasps indiscriminately as "bees."
• Natural vs. Artificial Concepts:
  • Natural Concepts: Mental categories created naturally through direct or indirect physical experience in the real world (e.g., snow, trees, physical desks).
  • Artificial Concepts: Categories defined by specific, human-constructed sets of characteristics, defined rules, or abstract labels (e.g., geometric shapes like a square, mathematical formulas, defined colors like red).
• Schemas:
  • Definition: Comprehensive cognitive frameworks or mental clusters that organize related concepts, expectations, and knowledge.
  • Category Schemas: Categorizing animals into hierarchy levels, such as an "Animal Schema" subdivided into "Farm Animal Schema" (cows, sheep, alpacas) vs. "Pet Schema."
• Role Schemas:
  • Definition: Mental expectations regarding how individuals in specific social roles or professions are anticipated to act, look, and behave (similar to generalized societal stereotypes).
  • Example (Librarian Schema): Expecting a librarian to be an older, introverted, strict female wearing reading glasses who demands quietness ("shh").
• Event Schemas (Cognitive Scripts):
  • Definition: Automated, routine sequences of behaviors expected in specific settings or situations, allowing individuals to navigate scenarios without deliberate conscious decision-making.
  • Classroom Script Example: Entering a lecture hall, retrieving a name tag, accessing a mobile device for Socrative, sitting at a desk, and facing the front board automatically.
  • Animal Script Example: A $10.5\text{-month-old}$ puppy learning a morning routine: exiting the crate, walking into the yard with co-resident dogs, proceeding to a designated spot in the lawn, and eliminating without hesitation.

Problem-Solving Frameworks: Trial-and-Error, Algorithms, and Heuristics

• Trial and Error:
  • Definition: Sequential testing of various solutions until a successful outcome is reached.
  • Characteristics: Simple and straightforward, but highly inefficient and time-consuming.
  • Examples: A toddler attempting to fit geometric blocks into a shape-sorter toy; navigating to a destination by randomly turning left or right at every stop sign without a map.
• Algorithms:
  • Definition: A step-by-step, highly systematic problem-solving formula or explicit procedure that guarantees a correct outcome if followed precisely.
  • Computational Applications: Social media recommendation engines (e.g., TikTok's proprietary FYP code), which analyze specific user behaviors (watch duration, re-watches, likes) using explicit IF-THEN rules to curate content.
  • Human Cognitive Applications: Daily routine procedural sequences, such as taking a specific driving route to school, following a exact coffee-brewing routine, operating a washing machine, or executing systematic vehicle maintenance (e.g., an oil change).
  • Algorithmic Disruption: Road closures or construction detour signs cause frustration because they disrupt established, automated behavioral algorithms.
• Heuristics:
  • Definition: A mental shortcut or general rule-of-thumb framework used to make fast decisions, solve problems, or draw immediate conclusions without detailed analysis.
  • Triggers for Heuristic Use: Information overload, low-importance decisions (e.g., selecting a color marker or choosing a milk brand), under-informed scenarios, or when specific memories are immediately accessible.
  • Trade-Offs: Saves substantial cognitive processing time and energy, but frequently leads to systemic logic errors, miscalculations, and cognitive biases.

Cognitive Biases and Heuristic Errors

• Availability Heuristic:
  • Definition: Evaluating the frequency, probability, or danger of an event based on how easily recent, vivid, or dramatic examples come to mind.
  • Example 1 (Perception of Societal Violence): Mass media and social networks constantly broadcast dramatic violent events, leading people to infer that modern society is more violent today than historically. Statistically, modern society is in its most peaceful era in human history, with fewer per-capita violent deaths than prior centuries.
  • Example 2 (Influencer Marketing): Consumers purchase products promoted repeatedly across social media because recent, frequent exposures make the product immediately accessible in memory.
• Representativeness Heuristic:
  • Definition: Categorizing a person, event, or outcome based on how closely it matches an existing mental prototype, while ignoring actual statistical base rates and probabilities.
  • Example 1 (Medical Diagnostic Error - Base Rate Neglect):
    • Condition prevalence rate: $\frac{1}{1000}$ (or $0.1\%$
    • Test false-positive rate: $10\%$ (or $\frac{1}{10}$
    • Statistical reality: The probability of receiving a false positive ($10\%$
    • Outcome: A patient testing positive actually has an approximate $99\%$
    • Error pattern: Physicians routinely overestimate the probability of actual infection because a positive test result matches their prototype of a diseased patient.
  • Example 2 (Fast-Food Restaurant Stereotyping):
    • General stereotype: Assuming all locations of a fast-food chain (e.g., Arby's) are subpar or dirty based on negative past experiences (e.g., at a New Kent location).
    • Counter-evidence: Visiting a specific, exceptional franchise location (e.g., Pullman Plaza near Gabe's) revealing an immaculate environment and friendly staff, breaking the representative stereotype.
• Anchoring Bias:
  • Definition: Fixating strictly on one initial piece of information when making a decision or solving a problem while disregarding all other pertinent parameters.
  • Example: Selecting a transfer university exclusively based on geographic distance (e.g., applying only to the closest campus to home or restricting searches to California) without evaluating academic major fit, tuition costs, or housing conditions.
• Confirmation Bias:
  • Definition: Actively searching for, favoring, and remembering information that confirms pre-existing beliefs while ignoring or discounting contradictory data.
  • Algorithmic Amplification: Social media algorithms feed users content matching their established viewing history, creating echo chambers that reinforce confirmation bias.
• Hindsight Bias:
  • Definition: The post-hoc rationalization that an event was predictable or that one "knew it all along," despite having had no objective basis for predicting it beforehand.
  • Example: Claiming after a football game (e.g., a late-minute loss by the Pittsburgh Steelers) that one knew prior to kickoff that the team was guaranteed to lose.

Cognitive Obstacles and Modes of Thinking

• Mental Set:
  • Definition: Rigidly persisting in using a problem-solving strategy that worked in past instances, even when it is no longer optimal or effective for the current situation.
  • Age Trends: Tendency toward mental sets increases as individuals age and become set in long-standing habits.
• Functional Fixedness:
  • Definition: A specialized form of mental set where an individual views an object strictly in terms of its traditional, intended design function, failing to perceive alternative novel uses.
  • Example (Paper Clip Applications): Viewing a paper clip solely as a paper fastener, rather than recognizing its alternate utility for picking locks, hanging holiday ornaments, or pushing recessed hardware reset buttons.
  • Age Trends: Functional fixedness typically worsens with advancing age as object associations become solidified.
• Divergent vs. Convergent Thinking:
  • Divergent Thinking: Creative, flexible, "outside-the-box" thinking focused on generating multiple unique, non-traditional solutions to a single problem.
    • Example: The "Egg Drop Challenge," where participants design custom protective structures out of unstandardized loose materials to prevent an egg from fracturing when dropped.
  • Convergent Thinking: Methodical, logical, traditional problem-solving directed at determining a single, standardized correct answer.
    • Examples: Completing financial accounting spreadsheets, working through algebraic equations, or executing standardized nursing medical protocols.
  • Coexistence of Thinking Styles: Individuals utilize both modes depending on context. For instance, a New York City corporate finance professional may rely on rigorous convergent thinking for daily financial spreadsheets while simultaneously exhibiting strong divergent thinking preferences in personal lifestyle and creative interests.