Chapter 1: Representation and Computation
How does the mind work?
solve problems, make decisions, explain actions of others, acquire new concepts
The "main aim of cognitive science": "to explain how people accomplish these various kinds of thinking"
Why? education, product design, more useful software, political manipulation
Metaphors for the mind: impressions on a blank sheet, hydraulic device, telephone switchboard, computer
Brief history:
Plato
-> innate concepts (ie,
virtue
)
Descartes, Leibniz
-> thinking, reasining (rationalism)
Aristotle
-> rules deduced from experience (empiricism)
Kant
-> rationalism + empiricism
Wundt, Watson, Skinner
-> from arm-chair philosophy, to science. Focus on observables (behaviorism)
>Miller -> explored limits of memory
McCarthy, Minsky, Newell, Simon
-> AI
Chomsky
-> linguistic rules
CRUM
data structures + algorithms = running programs
mental representation + computational procedures = mind
theory vs. model
Criteria for evaluating cognitive theories
Representational power
Computational power
Problem solving: planning, decision making, explaining
Learning
Language
Psychological plausibility
Neurological plausibility
Practical applicability (education, design, intelligent systems)
A Puzzle
Come up with a theory that explains how you solved the problem.
Douglas S. Blank