DJ

Thought & Language – Comprehensive Study Notes

Opening Case: Smart Speakers & Local Slang

  • Voice-activated assistants (Google Home 2017 AU; Amazon Alexa 2018 NZ, 2021 AU upgrade) had to be trained on Australian & Kiwi vernacular.- Examples: “hard yakka,” “bucket-down,” “sparrow’s fart,” “footy,” “devo,” “barra.”

    • Reflects how language evolves to encode cultural identity; 53 % of Australians rank slang as a top national-pride marker.

  • Rhyming slang: enduring form (e.g., “Barry Crocker” = shocker, “Reg Grundies” = undies, “My Sharona” = corona).

  • Slang shows: (1) shared metaphors, (2) mapping between knowledge domains, (3) transfer of thought via words.


Units of Thought

  • Thinking = manipulating mental representations for a purpose.

  • Major representational forms:- Words & Linguistic Propositions – inner speech.

    • Mental Images – visual/auditory/etc. Evidence: RT is proportional to rotation degrees in Cooper & Shepard studies; PET scans show visual-cortex activation during imagery.

    • Mental Models – explanatory/predictive representations (e.g., dentist’s causal cavity model, memory model diagram).

    • Theory of Mind – attributing beliefs & feelings to self/others; deficits in autism/Asperger’s.


Concepts & Categories

  • Concept: mental representation of a class with shared properties.

  • Categorisation enables inference & efficient thinking.

  • Two mechanisms:1. Defining Features – lists of necessary & sufficient properties (works for well-defined concepts: salt, triangle).

    1. Similarity-Based – prototype/exemplar matching.

    • Prototype = abstraction of characteristic features (bird prototype shares flight, chirp, eggs).

    • Reaction-time: parrot judged “bird” quicker than penguin (100–200 ms difference).

  • Hierarchical Structure- Superordinate (animal)

    • Basic (dog) – fastest natural level.

    • Subordinate (golden retriever) – used for atypical or expert cases.

  • Culture shapes basic-level sets (e.g., Utku two kinds of “love”).


Reasoning

  • Inductive Reasoning – specific to general; probabilistic (HIV casual-contact example).

  • Deductive Reasoning – general to specific; syllogisms; certainty if premises true.- Content/form effects: Wason card task vs. beer/18-years version show concrete context aids deduction.

  • Analogical Reasoning – map familiar domain onto novel (Dave Warner’s “cricket = war,” Kevin Andrews’ cycling analogy). Requires element mapping & often drives emotional framing.

  • Cultural logic: Western—non-contradiction; Eastern—embrace paradox (yin-yang).


Problem Solving

  • Transformation from initial state → goal state via operators.

  • Idealised steps:1. Compare states.

    1. Select operator likely to reduce difference.

    2. Apply; set subgoals.

    3. Iterate until solved.

  • Strategies- Algorithms – guaranteed, systematic (spell-check; exhaustive root-finding example, e.g., square root of 16129 is 127).

    • Heuristics/Rules of thumb.

    • Mental Simulation – envisage steps; study with psych students: simulating study behaviours increased hours & grades vs. “positive thinking.”

    • Hypothesis Testing – everyday & scientific.

  • Barriers- Functional Fixedness (candle/matchbox task).

    • Mental Set (water-jar type persistence).

    • Confirmation Bias; Hindsight Bias; Optimistic Bias.

    • Relational-processing deficits after frontal-stroke.

  • Overcoming – problem restructuring (nine-dot “think outside square”).


Decision Making

  • Sequential steps: define problem → alternatives → criteria → weigh → choose.

  • Expected-Utility Model: choose option with maximum EU (Expected Utility = sum of (utilityi * probabilityi)).- Weighted utility = criterion importance × option score.

  • Prospect Theory (Kahneman & Tversky):- Value function asymmetrical; the impact of a loss is greater than the impact of an equivalent gain.

    • People risk-seek to avoid losses; risk-averse for gains.

  • Risk perception shaped by context, taxes experiment, gender debates.


Explicit vs. Implicit Cognition

  • Explicit = conscious, deliberative.

  • Implicit = outside awareness; includes:- Implicit learning (social gaze rules, phoneme statistics).

    • Incubation & “Aha!” insight (activation spreads until threshold).

  • Heuristics- Representativeness (Akeem example; base-rate neglect, e.g., 50 to 1 librarians:salespeople ratio).

    • Availability (famous-name gender count; COVID-vaccine clot fears).

  • Bounded Rationality (Simon): satisficing; “take-the-best.” Recognition heuristic: fewer facts can yield higher accuracy.

  • Intuitive vs. Analytical Decisions- Intuition faster, emotional; effective when expert knowledge & tasks non-analytic (basketball-shot difficulty study).


Emotion, Motivation & Thought

  • Emotions bias judgments (lottery near-miss, risk assessment).

  • Thought can override feeling yet may reduce satisfaction (poster choice experiment).


Connectionism / Parallel Distributed Processing (PDP)

  • Cognition = parallel activation across distributed neural networks.

  • Nodes = features; learning = weight change.

  • Constraint Satisfaction: system chooses pattern that meets most constraints (letter–word disambiguation “THE CAT”).

  • Explains categorisation, memory (sunset recall), inference model (partner wants to split up diagram).

  • Neural correlates:- Dorsolateral PFC – working memory, planning (Tower of London deficits).

    • Ventromedial PFC – emotion-guided decisions (Phineas Gage).


Language: Definition & Thought Interaction

  • Language = system of symbols, sounds, meanings, combinatory rules.

  • Whorfian Hypothesis (Linguistic Relativity)- Language influences thought (Hanunoo 92 rice terms; Indigenous cardinal-direction language & time-mapping).

    • Extreme version not supported (Dani remember prototypical colours despite 2 colour terms).

  • Thought also shapes language (cyberspace, road-rage neologisms).


Elements of Language

  • Phonemes – smallest speech sounds.

  • Morphemes – smallest meaning units (pre-, –ing, cognit-ion).

  • Phrases – word groups acting as unit.

  • Sentences – organised sequences expressing propositions.

  • Syntax – placement rules (Chomsky: grammar generative; surface vs. deep structure).

  • Semantics – meaning constraints; interacts with syntax (adj+noun disambiguation).

  • Prosody – rhythm/stress aids comprehension & predicts reading skill; links to dyslexia visual-attention hypothesis.


Pragmatics, Discourse & Nonverbal Cues

  • Pragmatics = language use in context; discourse processed at multiple levels (exact wording → gist → situation model → communicative intent → discourse type).

  • Conversational maxims: shared knowledge tracking, response tokens, topic sentences, intonation cues.

  • Nonverbal communication: body language, distance, facial expression, vocalics; emojis restore affect cues in text.- 30-sec silent TA clips predicted end-term ratings (correlation approximately 0.80).

    • Joint attention & gaze critical for word learning; impaired in autism.


Language Development

  • Speed: 0 → 60 000 words by adulthood.

  • Nature vs. Nurture- Skinner: reinforcement shaping.

    • Chomsky: innate Universal Grammar; Language Acquisition Device (LAD); evidence: over-regularisations (“hisself,” “goed”); Nicaraguan Sign Language emergence.

    • Neural specialisation: left-temporal semantics, Broca syntax; early leftward asymmetry.

    • Connectionist view: innate sensitivities + statistical learning.

  • Critical Period- Optimal 0–3 yrs; after >12 native-like fluency rare; Genie & late deaf signers studies.

  • Milestones (approx.)- 1–5 m: cooing, differentiates speech.

    • 6–12 m: babbling; culture-specific phonemes.

    • 10–18 m: first words; holophrases.

    • 18–24 m: “vocabulary spurt” (~1–2 words/week); two-word telegraphic speech.

    • 2–4 yrs: grammar explosion; over-regularisation; 4 yrs mostly grammatical.

  • Influences- Motherese / infant-directed speech (high pitch, exaggerated prosody) & multimodal cues.

    • Caregiver expansions/recasts accelerate syntax; mere acknowledgment delays.

    • Phonics crucial for reading acquisition.


Non-Human Language Capacity

  • Apes can learn symbols/signs but lack productive grammar & recursive syntax.

  • Pinker: humans unique branch; extinct predecessors perhaps had language modules.


Heuristics, Biases & Ethical / Employability Links

  • Confirmation bias risks in science; optimism bias & smoking; hindsight bias in 2019-20 bush-fire commentaries.

  • Ethical dilemmas: shock-based chimp language experiments questioned.

  • Employability: APAC competency on cognition, language, perception; students advised to apply decision-making steps to career planning.


Formulas & Key Notation

  • Mental-rotation RT: RT = k * theta + b.

  • Expected Utility: EU = sum of (utilityi * probabilityi).

  • Prospect Theory value asymmetry: value of a loss (-x) is greater than the absolute value of a gain (x).


Quick Glossary Highlights

  • Algorithm, Heuristic, Prototype, Satisficing, Telegrapic Speech, Motherese, Dorsolateral PFC, Availability Heuristic, Bounded Rationality, PDP, Syntax vs. Semantics, Critical Period, Prosody.