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historical context of animal intelligence
Explores the evolution of methods used to study animal intelligence, from anecdotal observations to controlled experiments.
associative learning
Emphasizes the role of learning processes in intelligent behavior.
pavlovian conditioning
Learning through association between a neutral stimulus and an unconditioned stimulus.
Instrumental Conditioning
Learning through consequences, where behavior is modified by reinforcement or punishment.
discrimination learning
Ability to distinguish between different stimuli and respond accordingly
categorisation
Grouping stimuli based on shared characteristics, facilitating efficient responses
curiosity with studying animal cognition
Animal behaviour and mental states are inherently interesting.
Understanding the evolution of cognition and human-animal differences.
Insights into human-animal interactions.
human welfare with studying animal cognition
Animal models help study human psychological and neurological disorders (e.g. schizophrenia, addiction, PTSD).
Enable experiments not possible in humans (e.g. brain lesions, pharmacological injections, histology).
Better understanding of animals leads to better scientific models of human conditions.
animal welfare with studying animal cognition
Knowledge of animal cognition informs how we treat animals in various settings.
Mental states must be inferred from behaviour using observation and experimentation.
Historical views shaped by figures like Romanes (anthropomorphism) and Lloyd Morgan (parsimony).
Ongoing debate on approaches—eye-gazers vs. behaviourists vs. experimenters (Fouts, Hayes).
evidence of tool use in animals
Dolphins use sponges for foraging.
Chimps use spears, especially adolescent females.
Animals often use natural objects (stones, sticks) and sometimes modify them (e.g. stripping leaves).
They may combine tools (e.g. stone hammers) but rarely show evidence of complex modification like shaping stone tools.
Thorndike
cats learn by trial & error in puzzle boxes
Köhler
chimpanzee sultan appeared to solve problems through insight, perhaps based on prior trial-and-error learning
Weir et al. (2002)
a crow bent a wire into a hook, however had prior experience
tube task
Capuchins and apes showed tool use but struggled with more complex tools (e.g. H stick), indicating partial understanding.
trap tube task
Most chimpanzees failed; one succeeded but did not generalise to an inverted version, suggesting a lack of causal understanding
why is understanding of animals & tools important?
Animals can solve problems simply by learning associations
However greater understanding allows for insight & complexity
why does categorisation matter?
Categories help classify new stimuli efficiently.
Two major theories:
Exemplar theory: Compare new items to all previously seen examples.
Prototype theory: Compare to an average representation.
examples of category learning in animals
Pigeons: Can learn abstract categories (e.g., water, people, fish, paintings).
Capuchins: Discriminate between people and non-people but may rely on low-level cues (e.g., colour).
Feature-based learning: Most categorisation based on stimulus features rather than abstract concepts.
concrete vs abstract categories
Concrete: Based on perceptual features (e.g., faces, colours).
Abstract: Based on relationships (e.g., "son", "same/different").
same/different judgement in animals
assesses whether animals can understand abstract relational concepts, not just physical features
assesses whether animals can understand abstract relational concepts, not just physical features
Pigeons struggle unless given extensive training.
Alex the parrot: Could verbally answer same/different questions.
Abstract relational rules (e.g., opposites) are harder but possible.
second-order relationships
Understanding the relationship between relationships.
Tested in chimpanzees: Results mixed.
With support, they can learn relationships between relationships.
what is tested in number cognition
Relative numerosity (more vs. fewer).
Absolute number (specific quantities).
Ordinal scale (ranking).
Interval scale (equal spacing between numbers).
Symbol use.
examples of number cognition in animals
Pigeons: Judged number of red dots → proportion-based decisions.
Rats: Counted food rewards in a sequence.
Monkeys: Represented absolute & ordinal numbers.
Sheba: Used numerals to count food and objects (interval scale).
Alex: Verbally answered numerical questions.
Honeybees: Can perform simple addition/subtraction with symbols.
clever Hans effect
Hans “solved” math by reading human cues.
Led to caution in interpreting animal abilities → need for controlled testing.
social learning in animals
Requirements: Behaviour is learned, socially acquired, and persists.
Social facilitation: Mere presence of others increases behaviour (not true learning).
Stimulus enhancement: Attention drawn to an object by another's action.
Examples:
Rats: Learn food preferences from others.
Monkeys: Observe fear reactions to snakes.
Quail: Match demonstrator’s actions (peck vs. tread).
imitation in animals
True imitation: Copying the same action (not just the result).
Two-action test: Best evidence (e.g., Japanese quail).
Dogs showed imitation depending on context (Range et al., 2007).
Imitation may involve mirror neurons (Heyes, 2010).
self-recognition in animals
Mirror test: Self-directed behaviour using a mirror = possible self-awareness.
Chimpanzees, orangutans pass; most animals fail.
Mark test: Touching marks visible only in mirror.
Culture affects performance (e.g., Fiji vs. US children).
Trained pigeons passed mirror test (Epstein et al., 1981).
Mirror tests show body recognition, not necessarily deep self-awareness.
theory of mind (ToM)
Definition: Attributing mental states to others.
Evidence:
Deception in wild.
Povinelli: Chimps slow to learn attribution of knowledge.
Hare et al.: Chimps can act based on what others see—but may be simple discrimination.
animal communication
Bees: Dance conveys direction & distance of food.
Vervet monkeys: Alarm calls specific to predators; may be referential but inflexible.
Communication ≠ Language (limited flexibility, mostly innate).
language research in animals
Vocal attempts failed (e.g., Viki, Gua).
Sign/symbol use (e.g., Washoe, Nim, Koko, Kanzi):
Can learn symbols.
Limited productivity, syntax, and meaningful combinations.
Best evidence for comprehension:
Kanzi: Followed novel instructions, some syntax understanding.
Dolphin Akeakamai: Understood word order.
Most output is instrumental (requests), not generative.