Download Introduction to Cognitive Science

www.utdallas.edu/~golden
Revised 6/23/2015
The University of Texas
at Dallas
Human Computer Interaction
Artificial Intelligence
1
An Introduction to Basic Concepts of Cognitive Science by Professor Richard Golden
Neuroscience (Biology)
NEUROSCIENCE
Psychology (Behavior)
PSYCHOLOGY
Neuroscience (Biology)
and Psychology (Behavior)
NEUROSCIENCE
PSYCHOLOGY
Neuroscience (Biology)
and Psychology (Behavior)
NEUROSCIENCE
PSYCHOLOGY
Brain Aging and Memory
Brain Organization
and Learning
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Neuroscience (Biology)
and Psychology (Behavior)
NEUROSCIENCE
PSYCHOLOGY
Infant Learning
Text Comprehension
Music Perception
Social Aggression
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Neuroscience (Biology)
and Psychology (Behavior)
PSYCHOLOGY
NEUROSCIENCE
Brain and Knowledge
Brain and
Language
Face Perception
Speech Perception
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Experimental Psychology
Psychology
Clinical
Psychology
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Experimental Psychology
Psychology
Clinical
Psychology
Experimental
Psychology
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Experimental Psychology
Psychology
Clinical
Psychology
Experimental
Psychology
Social
Psychology
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Experimental Psychology
Psychology
Clinical
Psychology
Social
Psychology
Experimental
Psychology
Developmental
Psychology
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Experimental Psychology
Psychology
Clinical
Psychology
Social
Psychology
Experimental
Psychology
Developmental
Psychology
Cognitive
Psychology
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Experimental Psychology
Psychology
Clinical
Psychology
Social
Psychology
Experimental
Psychology
Developmental
Psychology
Cognitive
Psychology
Cognitive Psychology  Cognitive Science !!!
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What is Artificial Intelligence?
• The goal of Artificial Intelligence is to build “smart systems”
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What is Artificial Intelligence?
• The goal of Artificial Intelligence is to build “smart systems”
• A “smart system” should pass Turing’s (1950) “Turing Test”:
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What is Artificial Intelligence?
• The goal of Artificial Intelligence is to build “smart systems”
• A “smart system” should pass Turing’s (1950) “Turing Test”:
– An interrogator is connected to one person and one machine via a
terminal, and therefore can't see her counterparts.
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What is Artificial Intelligence?
• The goal of Artificial Intelligence is to build “smart systems”
• A “smart system” should pass Turing’s (1950) “Turing Test”:
– An interrogator is connected to one person and one machine via a
terminal, and therefore can't see her counterparts.
– Her task is to find out which of the two candidates is the machine,
and which is human only by asking them questions.
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What is Artificial Intelligence?
• The goal of Artificial Intelligence is to build “smart systems”
• A “smart system” should pass Turing’s (1950) “Turing Test”:
– An interrogator is connected to one person and one machine via a
terminal, and therefore can't see her counterparts.
– Her task is to find out which of the two candidates is the machine,
and which is human only by asking them questions.
– If the interrogator cannot make a decision within a certain time,
the machine is considered to be intelligent.
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What is Artificial Intelligence?
• The goal of Artificial Intelligence is to build “smart systems”
• A “smart system” should pass Turing’s (1950) “Turing Test”:
– An interrogator is connected to one person and one machine via a
terminal, and therefore can't see her counterparts.
– Her task is to find out which of the two candidates is the machine,
and which is human only by asking them questions.
– If the interrogator cannot make a decision within a certain time,
the machine is considered to be intelligent.
Chat with
Lauren!
Chat with
Lilith!
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www.loebner.net/Prizef/loebner-prize.html
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Approaches to Artificial Intelligence
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Approaches to Artificial Intelligence
• Deduction: Knowledge as Rules
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Computer Programs
Databases
Symbolic (Computer) Logic
Rule-based Intelligent Systems
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Approaches to Artificial Intelligence
• Deduction: Knowledge as Rules
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Computer Programs
Databases
Symbolic (Computer) Logic
Rule-based Intelligent Systems
• Induction: Learning from Experience
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Humans
Artificial Neural Networks (“Connectionism”)
Adaptive Learning Algorithms
Statistical Learning Machines
Simulated Evolution (Evolutionary Learning)
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Watson: Smartest Machine on
Earth (50 minutes)
• http://video.pbs.org/video/1786674622/
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Artificial Intelligence Jobs
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Speech Recognition Jobs
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Machine Learning Jobs
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Robotics Jobs
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Data Mining Jobs
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Computer Vision Jobs
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Natural Language Processing Jobs
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Human-Computer Interactions
(Usability Engineering)
• Use Experimental
Psychology Methods to
Evaluate and Design Web
Sites, Computer Games,
smart phones, software
interfaces, voice user
interfaces…
Usability Engineering Book
Experiments in Human
Computer Interactions
Don Norman's HCI Web Site
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Jobs in Usability Engineering
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Jobs in User Experience Design
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So what is Cognitive Science?
• Multidisciplinary Study of “Intelligent Systems”
Psychology
Neuroscience
Linguistics
Usability Engineering
Cognitive Science
Mathematics
Philosophy
Computer Science
Economics
• Examples of Intelligent Systems
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“Smart” Pencil Sharpeners
Insects
Dogs
People
“Data” (the robot) on Star Trek
Pac-Men (i.e., “video-game” creatures)
Artificial Intelligence
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www.cognitivesciencesociety.org
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Cars and Brains
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Automobile Science
Automobile
Design
Automobile
Mechanics
Automobile
Performance
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Cognitive Science
(selected key components)
Mind/Brain Design
(Artificial Intelligence)
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Neuroscience
(Biology of Brains!)
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Click on a black dot to visit an appropriate UTD lab!
(Also check out: http://bbs.utdallas.edu/research !!)
Psychology
(Behavior of Minds!)
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Cognitive Science Major at UTD
All Cognitive Science Majors are required to select
2 of the 3 different Concentration Areas
• Concentration Areas:
– Psychology &
Human-Computer Interactions
– Cognitive-Neuroscience
– Artificial Intelligence &
Computational Modeling
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Cognitive Science Curriculum:
All Concentration Areas
• Lower Division Coursework:
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CGS 2310 Cognitive Science
CS 1337 Computer Science
MATH 2417 Calculus I (or MATH 2413)
MATH 2419 Calculus II (or MATH 2414)
MATH 2418 Linear Algebra
PSY 2301 Introduction to Psychology
PSY 2317 Stats for Psych (or CS3341 Probability and Statistics)
• Upper Division Coursework
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CGS 3361 Cognitive Psychology
NSC 3361 Behavioral Neuroscience
PSY3392 Research Design and Analysis
CGS3340/ PSY3393 Experimental Projects
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Concentration Area 1:
Psychology/Human-Computer Interactions
(select 4 of the following)
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CGS3325 Historical Perspectives on Psychology
CSS4359 Cognitive-Neuroscience
CGS4352 Human Computer Interactions I
CGS4353 Human Computer Interactions II
PSY3331 Social Psychology
PSY4343 Abnormal Psychology
PSY4334 Lifespan Development
PSY3310 Child Development
PSY3362 Cognitive Development
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Concentration Area 2:
Cognitive-Neuroscience
(select 4 of the following)
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NSC 4352 Cellular Neuroscience
NSC 4354 Integrative Neuroscience
NSC 4356 Neurophysiology
NSC 4366 Neuroanatomy
NSC 4363 Neuropharmacology
NSC 4367 Developmental Neurobiology
NSC 4359 Cognitive-Neuroscience
NSC 4353 Neuroscience Lab Methods
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Concentration Area 3:
Artificial Intelligence & Computational Modeling
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Additional Lower Division Coursework (only for this concentration area)
– CS2305 Discrete Math for Computing I
– CS2336 Computer Science II (prerequisite: CS1337)
– CS3341 Probability and Statistics for Computer Scientists/Engineers
Upper Division Coursework (choose 4 courses)
– CGS3342 Cognitive and Neural Modeling Lab
– CGS4312 Computational Modeling Methods for Language Understanding
– CGS4313 Neural Net Mathematics (prereq: MATH2418,MATH2419,CS3341)
– CGS4314 Intelligent Systems Analysis (prereq: MATH2418,MATH2419,CS3341)
– CGS4315 Intelligent Systems Design (prereq: MATH2418,MATH2419,CS3341)
– CS3345 Data Structures and Introduction to Algorithmic Analysis
(prereq: CS2305, CS2336, CS3341)
– CS4365 Artificial Intelligence (prereq: CS3345)
– CS4375 Introduction to Machine Learning (prereq: CS3345)
– CS4391 Introduction to Computer Vision (prereq: CS3345)
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[email protected]
www.utdallas.edu/~golden
The University of Texas
at Dallas
School of Behavioral and Brain Sciences Labs
Cognitive Science B.S. Major (and Minor)
Applied Cognition and Neuroscience M. S. Degree
Center for Brain Health
Careers in Cognitive Science
Cognitive Science Society
Society for Mathematical Psychology
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