Lyle Ungar, University of Pennsylvania Cognitive Science 001 How do minds work? CSE 140, Linguistics 105, Philosophy 044, Psychology 107

Lyle H Ungar, University of Pennsylvania 2 How do minds work?  What would an answer to this question look like? What is a mind?

Lyle H Ungar, University of Pennsylvania 3 How do minds work?  What is intelligence?  How do brains work? Neurons Brain structure  Theory of computation  Probabilistic models of mind  Logic-based models of mind

Lyle H Ungar, University of Pennsylvania 4 How do minds work?  Perception and action  Learning and memory  Mind, language and computation  Emotion  Social cognition  Analogy and metaphor

Lyle H Ungar, University of Pennsylvania 5 AdministriviaAdministrivia as.upenn.edu /~cse140~cse140

Lyle H Ungar, University of Pennsylvania 6 Office Hours and Sections  Please come talk to us! Lyle Ungar, Mark Liberman Sudha Arunachalam, John Blitzer, Chris Maloof  Sections – Optional Mon Tues Wed

Lyle H Ungar, University of Pennsylvania 7 ReadingsReadings  Readings – for every class Available in bulkpack at SEAS copy center Available online Will be password protected  Username: cogsci  Password: Can be read either before or after lecture  Supplemental readings Available online

Lyle H Ungar, University of Pennsylvania 8 HomeworkHomework  Will be submitted electronically Cut and past into a form Please take pre-quiz before next class  Please submit on time 15% /day penalty for first three days Then no credit

Lyle H Ungar, University of Pennsylvania 9 GradingGrading 40% seven homeworks Lowest grade will be dropped Different styles 30% two midterms 30% term paper no final exam

Lyle H Ungar, University of Pennsylvania 10 Levels of analysis (Marr):  Three kinds of questions  computation what is the problem?  algorithm what are the methods?  implementation what are the mechanisms?

Lyle H Ungar, University of Pennsylvania 11 Ways of thinking about reasoning  logical vs. probabilitistic  sequential vs. parallel/distributed  exact vs. heuristic/approximate  literal vs. metaphorical

Lyle H Ungar, University of Pennsylvania 12 Ways of thinking about learning  Who learns? brain vs. genome individual vs. group  What is learned? facts vs. skills vs. rules vs... information vs. physiology  Where does knowledge come from? experience vs. reason vs. analogy vs. chance  How does learning work?