Cognitive Psychology

How we think, learn, remember, and solve problems.

Thinking Systems

Dual Process Theory

Daniel Kahneman's framework for understanding thought:

System 1System 2
FastSlow
AutomaticEffortful
UnconsciousConscious
IntuitiveAnalytical
Parallel processingSerial processing
High capacityLimited capacity
Error-proneMore accurate
Always onLazy, avoids effort

Key insight: System 1 runs the show most of the time. System 2 is expensive to engage and often just endorses System 1's suggestions.

When Each System Dominates

System 1 handles:

  • Recognizing faces
  • Understanding simple sentences
  • Driving on empty roads
  • Detecting hostility in voice
  • Automatic skills

System 2 required for:

  • Complex calculations
  • Comparing options deliberately
  • Following instructions
  • Maintaining focus
  • Checking validity of arguments

Memory

Types of Memory

TypeDurationCapacityExample
SensoryMilliseconds-secondsLargeSeeing a scene briefly
Working (short-term)Seconds-minutes4-7 itemsHolding a phone number
Long-termYears-lifetimeEffectively unlimitedYour childhood home

Long-Term Memory Subtypes

TypeSubtypeDescriptionExample
Explicit (declarative)EpisodicPersonal experiencesYour wedding day
Explicit (declarative)SemanticFacts and knowledgeParis is the capital of France
Implicit (non-declarative)ProceduralSkills and habitsRiding a bike
Implicit (non-declarative)PrimingUnconscious activationFaster to recognize word after seeing related word

How Memory Works

Encoding: Getting information in

  • Attention required
  • Deeper processing = better encoding
  • Emotional content encoded better
  • Sleep consolidates memories

Storage: Keeping information

  • Memories are reconstructed, not retrieved
  • Memories change each time accessed
  • Memories are distributed across brain

Retrieval: Getting information out

  • Cue-dependent (context helps)
  • Retrieval practice strengthens memory
  • Interference from similar memories

Memory Failures

FailureDescriptionExample
TransienceFading over timeForgetting what you had for lunch last Tuesday
Absent-mindednessInattention at encodingForgetting where you put keys
BlockingTemporary inability to retrieveTip-of-tongue phenomenon
MisattributionWrong sourceRemembering where you heard news incorrectly
SuggestibilityMemory changed by suggestionLeading questions alter memory
BiasCurrent beliefs distort memoryRemembering past attitudes as consistent with current
PersistenceUnwanted memoriesTraumatic memories that won't fade

Improving Memory

Encoding strategies:

  • Pay attention
  • Elaborate (connect to existing knowledge)
  • Use visual imagery
  • Organize information
  • Space learning out

Retrieval strategies:

  • Test yourself (retrieval practice)
  • Use cues and context
  • Sleep after learning
  • Interleave topics

Learning

Types of Learning

Classical conditioning: Associating stimuli with responses

  • Pavlov's dog: bell → salivation
  • Emotional associations (fear, attraction)

Operant conditioning: Learning from consequences

  • Reinforcement increases behavior
  • Punishment decreases behavior

Observational learning: Learning by watching others

  • Modeling behavior
  • Vicarious reinforcement/punishment

Reinforcement Schedules

ScheduleDescriptionEffect
ContinuousEvery response reinforcedFast learning, fast extinction
Fixed ratioAfter X responsesHigh rate, pause after reward
Variable ratioAfter average of X responsesHighest rate, most resistant to extinction
Fixed intervalFirst response after X timeIncrease toward end of interval
Variable intervalFirst response after average X timeSteady rate

Variable ratio is most powerful. Slot machines, social media notifications use this.

Learning Principles

Spacing effect: Distributed practice beats massed practice

  • Study over multiple sessions, not cramming

Testing effect: Retrieval practice beats re-reading

  • Quiz yourself rather than re-read

Interleaving: Mixing topics beats blocking

  • Practice different skills in same session

Desirable difficulties: Harder learning = better retention

  • Challenge is good for long-term learning

Problem Solving

Problem-Solving Strategies

StrategyDescriptionWhen to Use
AlgorithmStep-by-step procedureWhen accuracy essential
HeuristicRule of thumbWhen speed matters
Working backwardStart from goalWhen goal is clear
AnalogyApply similar solutionWhen you recognize pattern
DecompositionBreak into subproblemsWhen problem is complex
Trial and errorTry possibilitiesWhen solution space is small

Obstacles to Problem Solving

ObstacleDescriptionExample
Functional fixednessOnly seeing typical usesNot using coin as screwdriver
Mental setUsing familiar approachApplying old solution to new problem
Confirmation biasSeeking confirming evidenceOnly looking for evidence you're right
AnchoringOver-relying on first informationFirst number influences estimate
AvailabilityJudging by ease of recallOverestimating dramatic risks

Decision Making

Rational model: Weigh all options, calculate expected value, choose best

  • Rarely how we actually decide

Heuristics we actually use:

  • Availability: What comes to mind easily seems likely
  • Representativeness: Match to stereotype
  • Anchoring: Adjust from starting point
  • Affect: Choose what feels right

Cognitive Biases

Common Biases

BiasDescriptionMitigation
ConfirmationSeeking confirming evidenceActively seek disconfirming evidence
AnchoringOver-weighting first infoConsider multiple starting points
AvailabilityOverweighting memorable eventsUse base rates and data
Hindsight"I knew it all along"Record predictions before outcomes
OverconfidenceToo certain of judgmentsCalibrate with feedback
Sunk costContinuing because of past investmentConsider only future costs/benefits
FramingInfluenced by how options presentedReframe from different perspectives
Status quoPreference for current stateConsider default as a choice

Why Biases Exist

Biases aren't bugs. They're features that usually work:

  • Fast (no analysis required)
  • Low effort (conserves cognitive resources)
  • Usually accurate enough
  • Adapted to ancestral environment

Problem: Modern environment differs from ancestral one. Biases misfire.

Intelligence

What Is Intelligence?

General cognitive ability: capacity to:

  • Learn
  • Reason abstractly
  • Solve problems
  • Adapt to new situations

g Factor vs. Multiple Intelligences

g (general intelligence): A statistical factor that captures shared variance across cognitive tasks

  • Correlated performance across cognitive tasks
  • Predicts some life outcomes (effect sizes are real but smaller than popular claims)
  • Heritability estimates vary widely with age and sample, commonly reported in the 40-80% range in adulthood (remember: heritability is population-level)

Multiple intelligences (Gardner):

  • Linguistic, logical-mathematical, spatial
  • Musical, bodily-kinesthetic, naturalistic
  • Interpersonal, intrapersonal

Reality: Both have merit. g exists, but specific abilities matter too.

Can Intelligence Change?

  • Fluid intelligence: Peaks in 20s, declines with age
  • Crystallized intelligence: Continues growing with experience
  • Working memory: Can be trained somewhat
  • Skills and knowledge: Highly malleable

Key insight: You can't dramatically change raw processing power, but you can accumulate knowledge, skills, and strategies.

Practical Applications

Improving Thinking

  1. Slow down - Engage System 2 for important decisions
  2. Consider alternatives - What else could be true?
  3. Seek disconfirming evidence - Actively look for what contradicts you
  4. Use checklists - Externalize thinking to avoid errors
  5. Sleep on it - Let unconscious processing work
  6. Get outside perspective - Others see your blind spots

Improving Learning

  1. Space your practice - Distribute over time
  2. Test yourself - Retrieval beats re-reading
  3. Interleave topics - Mix different subjects
  4. Elaborate - Connect new to known
  5. Teach others - Forces deep processing
  6. Sleep - Consolidates memory

Improving Memory

  1. Pay attention - Can't remember what you didn't encode
  2. Reduce interference - Don't learn similar things together
  3. Use cues - Context helps retrieval
  4. Review actively - Don't just re-read
  5. Build associations - Link to existing knowledge
  6. Use mnemonics - Memory techniques work