Chapter 1: Information and Computation. Cognitive Science  José Luis Bermúdez / Cambridge University Press 2010 Overview Review key ideas from last few.

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Presentation transcript:

Chapter 1: Information and Computation

Cognitive Science  José Luis Bermúdez / Cambridge University Press 2010 Overview Review key ideas from last few classes Look at Broadbent’s information-processing model of selective attention Introduce basic principles of Turing machines and theory of computation

Cognitive Science  José Luis Bermúdez / Cambridge University Press 2010 Key ideas Idea of cognition as information-processing latent learning and place learning rule-based conception of language Idea that information-processing is sensitive to the format in which information is coded Idea that information-processing is a computational process

Cognitive Science  José Luis Bermúdez / Cambridge University Press 2010 Information-processing models Miller’s work suggests that the senses are information- processing channels with limited capacity But he had nothing to say about the details of how those information-processing channels actually work The next step towards cognitive science came with the development of particular information-processing models of sensory systems and cognitive abilities

Cognitive Science  José Luis Bermúdez / Cambridge University Press 2010 Selective attention Operational understanding (e.g. for behaviorist) Selective attention is simply the fact that an organism responds to a single stimulus when there are several stimuli present to which it would otherwise respond [cocktail party phenomenon] But for a cognitive scientist this fact is something that needs to be explained with an information-processing model

Cognitive Science  José Luis Bermúdez / Cambridge University Press 2010 Model-building Basic components experimental data to be explained task analysis information-processing account of how the task can be performed

Cognitive Science  José Luis Bermúdez / Cambridge University Press 2010 Cherry’s experiments inspired by demands placed upon air traffic controllers aimed to discriminate between different possible factors for separating out different voices 1. The voices come from different directions 2. Lip-reading, gestures, and the like 3. Different speaking voices, mean pitches, mean speeds, male vs. female, and so forth 4. Different accents 5. Transition probabilities (based on subject matter, voice dynamics, syntax...)

Cognitive Science  José Luis Bermúdez / Cambridge University Press 2010 Cherry experiments (2) Eliminated all factors except the last by recording two messages from the same speaker on one tape Result – the messages could still be discriminated Cherry offered an information–theoretic analysis We can predict word sequences because of stored knowledge of transition probabilities

Cognitive Science  José Luis Bermúdez / Cambridge University Press 2010 More data Subjects were asked to shadow messages (repeating words after hearing them) spoken phrases were strings of cliches separated by simple conjunctions subjects found it almost impossible to discriminate messages

Cognitive Science  José Luis Bermúdez / Cambridge University Press 2010 Dichotic listening tasks Dichotic listening tasks present subjects with different information in each ear Subjects can be asked to monitor one signal and ignore the other Monitoring typically involves shadowing the signal (i.e. repeating it verbatim) Then their recall is probed

Cognitive Science  José Luis Bermúdez / Cambridge University Press 2010 Attention-switching By-ear accuracy = 65% By-time accuracy = 20% When subjects were asked to report the stimuli in any order they typically did best when they reported them ear by ear

Cognitive Science  José Luis Bermúdez / Cambridge University Press 2010 Type of message Drastic difference between two types of message – differing in physical properties (e.g. female vs male voice) differing in semantic properties (e.g. English vs German – or meaningless babble vs speech)

Cognitive Science  José Luis Bermúdez / Cambridge University Press 2010 Physical vs semantic Subjects able to perform the shadowing task = application of selective attention Variability in what could be recalled about the ignored signal Subjects were typically unable to report the content of the ignored signal But could report changes in the physical properties of ignored signal

Cognitive Science  José Luis Bermúdez / Cambridge University Press 2010 Model-building Basic components experimental data to be explained task analysis information-processing account of how the task can be performed

Cognitive Science  José Luis Bermúdez / Cambridge University Press 2010 Task analysis Selective attention is the process of “filtering out” irrelevant sensory information We can only verbally report on things to which we are selective attending (1) The first set of results show that each ear is a distinct information channel (2) The second set shows that the filtering takes place before semantic information is extracted – based on the physical properties of the stimulus

Cognitive Science  José Luis Bermúdez / Cambridge University Press 2010 Broadbent’s model