Study guide for L271, first midterm

 

What is cognitive science?

Information-processing view: (amodal) representations + computations

Types of representations

History

Wundt, Gestalt psychology

Behaviorism (Skinner)

Cognitive revolution: late 50Ős (Miller, Neisser; Chomsky; Simon and Newell)

 

Philosophical problems

The mind-body problem

            Types of monism and dualism

            Functionalism, MarrŐs three levels

            Emergent properties

Turing Test

The Chinese room argument

The qualia problem: what is it like to be a bat? Mary, the colorblind scientist

 

Artificial intelligence

Games

Problem space, algorithms

History

            Pascal, Babbage (Analytical Engine)

            Neumann (ENIAC)

Connectionism

Semantic networks

            Model neuron, two-layer networks

            Three-layer networks: nodes, weights of connections can change during training

            Example: past tense learning (Rumelhart & McClelland)

            Pros and cons of the connectionist approach

 

Language

Language and mind

            Sapir-Whorf hypothesis (linguistic determinism and ling. relativism)

            Language of spatial relations

            Allocentric vs. egocentric coding

                        Language-dependent (Brown & Levinson)

                        Context-dependent (Li & Gleitman)

Theoretical issues

5 universal characteristics

Communication, dynamically changing

Finite elements -> infinite combinations (combinatorial aspect)

            Arbitrary symbols combined by rules

Levels of language analysis

Surface vs. deep structure

Primate language learning studies, Kanzi and Savage-Rumbaugh

Language development

            Language deprivation

            Infancy: phonemic discrimination, babbling

Later: word learning, joint attention, the problem of reference