More overview of Cognitive Science
- Intro to Cognitive Science: Cognitive Modeling -
Fall 2009
Contents
Slides
- Pretest revisited
- Reflection on readings
- Domains of Cog Sci
- Methods of Cog Sci
- Behaviors studied
- Intro to Language
Pretest
[2/12,
2009/09/15]
- Mostly right
- Mostly vague
Questions:
- Inversion of letters, images
- Neural transmission
Applying Cognitive Science to the question:
- What must happen for the process to work?
- What do we learn when the process goes wrong?
What were the main points?
What are they?
What are they?
Language
[7/12,
2009/09/15]
Procedure:
- Think for a minute about the question below.
- Write for a minute your answer.
- Then we'll share.
Question:
- Why do you think AI researchers have had so much trouble
getting computers to understand human language?
Language is:
- a universal, particularly human trait.
- "Rule governed" (at multiple levels)
- Symbolic: arbitrary relation to referents
- Infinitely generative
- Learned
Exercise
[10/12,
2009/09/15]
In pairs, come up with as many different interpretations as
you can of the following sentence:
- "Time flies like an arrow."
(Courtesy of wikipedia)
- time moves quickly just like an arrow does
- measure the speed of flying insects like you would
measure that of an arrow - i.e. (You should) time flies like
you would an arrow.
- measure the speed of flying insects like an arrow would - i.e. Time flies in the same way that an arrow would (time them).
- measure the speed of flying insects that are like arrows - i.e. Time those flies that are like arrows
- a type of flying insect, "time-flies," enjoy arrows (compare Fruit flies like a banana.)
Steven Pinker (Harvard) on Language Acquisition
"Pretraining"
- Heard of Pinker?
- Important concepts:
- Modularity
- Human uniqueness (wrt language)
- Dissociations
- Learning, maturation (changes in brain)
- VP, NP, SOV, VSO, case, agglutinative
- Positive, negative evidence
- Prosody
- Bootstrapping
- UG and parameters