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Class Notes for Cognitive Science at University of Toronto St. George (UTSG)

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UTSGCOG250Y1John VervaekeWinter

COG250Y1 Lecture Notes - Prosopagnosia, Nelson Goodman, Hypnosis

OC7060416 Page
23 Mar 2013
171
Cognition: set of processes by which human beings take in, store and transform & then apply information in behaviour. Problematic: because it suggests
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UTSGCOG250Y1John VervaekeSpring

COG250Y1 Lecture Notes - Lecture 13: Weak Ai, Formal System, Digitality

OC23721533 Page
22 Jan 2018
0
Will be covering test 2 and paper 2. Aristotle: there are three tests you have to pass to establish structure of reality. Worldview: everything is movi
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UTSGCOG250Y1John VervaekeFall

COG250Y1 Lecture Notes - Lecture 1: Identity Element, Nominalism, Cartesian Coordinate System

OC13425464 Page
30 Nov 2016
2
There are many disciplines that attempt to define & describe what the mind is. The goal of cognitive science is to figure out what the relationship bet
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UTSGCOG250Y1John VervaekeWinter

COG250Y1 Lecture Notes - Lecture 10: World View, Geocentric Model, Weak Ai

OC13425466 Page
16 Jan 2017
7
A. i is (cid:374)ot a (cid:374)e(cid:449) idea; it"s (cid:271)ee(cid:374) a(cid:396)ou(cid:374)d fo(cid:396) a (cid:449)hile. A. i could cause a 45% un
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UTSGCOG250Y1John VervaekeWinter

COG250Y1 Lecture Notes - Lecture 17: Connectionism, Frame Problem, Deductive Reasoning

OC13425468 Page
11 Apr 2017
0
From there came the hobbes/descartes debate: descartes raises: truth/meaning argument, normativity, purpose, qualia, formulated the strong ai problem a
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UTSGCOG250Y1John VervaekeFall

COG250Y1 Lecture Notes - Lecture 2: Nelson Goodman, Aorta, Word Game

OC13425465 Page
30 Nov 2016
2
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UTSGCOG250Y1John VervaekeWinter

COG250Y1 Lecture Notes - Lecture 14: Perceptron, Neurogenesis, Unsupervised Learning

OC13425467 Page
11 Apr 2017
0
The idea was that you"d give up the variables proposition. Instead, we"ll use variable that are more brain-like . We can look at neurons" level of acti
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UTSGCOG250Y1John VervaekeWinter

COG250Y1 Lecture Notes - Lecture 15: Zenon Pylyshyn, Descriptive Knowledge, John Loves Mary

OC13425466 Page
11 Apr 2017
0
Issue that we show qualitative development we become better thinkers. You can"t generate a stronger logic by running more problems. What needs to be do
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UTSGCOG250Y1John VervaekeWinter

COG250Y1 Lecture Notes - Lecture 2: Representativeness Heuristic, Problem Solving, Readwrite

OC22952119 Page
21 Oct 2015
78
Memory: reconstructive nature of memory, memory adjusts retrieval process by reconstructing data and not just reproducing data. We adaptively predict w
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UTSGCOG250Y1John VervaekeWinter

COG250Y1 Lecture Notes - Lecture 13: Symbolic Artificial Intelligence, Frame Problem, Neocortex

OC13425467 Page
14 Mar 2017
0
Micro worlds did not generalize to how other worlds scale up. Why did micro worlds fail: shurldu (sh) never initiated anything, it just responded to pr
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UTSGCOG250Y1John VervaekeWinter

COG250Y1 Lecture Notes - Lecture 12: Marsupial, Microworlds, Shrdlu

OC13425468 Page
14 Mar 2017
0
As long as the system can reliably identify move the tokens, then the medium is irrelevant. Mr is important because it means there are two formal level
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UTSGCOG250Y1John VervaekeFall

COG250Y1 Lecture Notes - Lecture 7: Metacognition, Unconscious Mind, Descriptive Knowledge

OC134254610 Page
30 Nov 2016
6
Theoretical debate facilitates experimental competition, creating more experiments. There (cid:449)ere i(cid:373)porta(cid:374)t e(cid:373)piri(cid:272
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