Welcome. PSYCHOLOGY 4145, Section 200. Cognitive Psychology. Fall Handouts Student Information Form Syllabus

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Welcome PSYCHOLOGY 4145, Section 200 Fall 2001 Handouts Student Information Form Syllabus NO Laboratory Meetings Until Week of Sept. 10 Page 1

To Do List For This Week Pick up reading assignment, syllabus, etc. in Lecture Register on class e-mail list By Wednesday!!!! Reply to my first e-mail to the CLASS!!!! On your own in D346 Familiarize yourself with the computing environment Introduction to StatView (Handout in class) Read Schacter: Introduction and Chapters 1 and 2 Page 2

Description of Course Lecture (Content) and Laboratory (Methods) Projects (Learning by Doing) Topics Memory and Review of Other Topics in Cognitive Psychology Evolution of Cognition Creativity and the Nature of Talent Cognitive Engineering and the World Wide Web Methods, Data Analysis, and Research Focus on Projects VERY COMPLEX COURSE STRUCTURE More on Wednesday Page 3

Reading Memory and Review of Other Topics in Cognitive Psychology Schacter, D. L. (2001) The Seven Sins of Memory: How the Mind Forgets and Remembers Houghton Mifflin Co Evolution of Cognition Dunbar, R. (1998). Grooming, Gossip, and the Evolution of Language. MS, Cambridge: Harvard University Press. (paperback edition) Creativity and the Nature of Talent Weisberg, R. W. (1993). Creativity: Beyond the Myth of Genius. W H Freeman & Co. (Paperback) Cognitive Engineering and the World Wide Web Usable Web: Guide to Web usability resources http://usableweb.com/ Methods, Data Analysis, and Research Laboratory Page 4

Prerequisites Psych 2145: Perception and Cognition Core Statistics (Psych. 3101 or equivalent) [Yes, I really mean it.] See me after class... Computing Skills MAC or PC Word Processor (MS Word) Statistics Package (StatView) E-mail. Surfing the Web... Page 5

Getting Ready for Laboratory Be Sure You Have IdentiKey user name and pass word E-mail address Introduction to StatView and MS Word.. Join class discussion list. Send e-mail message to listproc@psych.colorado.edu from your preferred e-mail account. One line e-mail message subscribe psyc4145-200 your name here Example subscribe psyc4145-200 Peter Polson Page 6

What is? The Study of the Mechanisms Underlying Thinking (i.e.,pinker s How The Mind Works) Attention Pattern Recognition Working Memory Long Term Memory Problem Solving Complex Skills Language Decision Making Content of Psyc 2145 Page 7

Some Terms (From Pinker s How The Mind Works) "Cognitive approach" = Explain behavior through mental states (beliefs, intentions, goals, desires, etc.). Cognitive psychology = Experimental study of language, memory, reasoning, perception Cognitive science = Combines cognitive psychology, artificial intelligence, linguistics, philosophy of mind, neuroscience, cognitive anthropology Page 8

How Can We Study Our Own Minds? 1) Study People Doing Complex Tasks (e.g., reading) Problems!!! Complexity of these mechanisms Speed of operation Only aware of results From Pinker Arthur C. Clarke: "Any sufficiently advanced technology is indistinguishable from magic." 2) Compare Human Minds to Animal Minds Medical science Vision, motor control,. Emotion and motivation Animal cognition Language in chimpanzees and apes Evolution of cognition 3) Compare Human Minds to Robot Minds Information Processing Approach Artificial Intelligence Page 9

Compare Human Minds to Robot Minds. (From Pinker) The robot gap: Robots in fiction: Speedy, Cutie, and Dave Lost in Space R2D2, C3PO The Terminator Mystery Science Theater 3000 Why not in real life? First law of Artificial Intelligence: "The hard problems are easy, and the easy problems are hard." The engineering problems of seeing, walking, common sense, speech production and understanding, Psychology as reverse-engineering. Page 10

In Real Life More On Reverse-Engineering Get a Copy of a Competitor s Product Figure Out What IT Does Take IT Apart to Figure Out How IT Works Build New System That Does the Same or Similar Things As An Analogy to Select a topic (system) (vision, language, problem solving) Figure Out What Systems Does Do Experiments to Figure Out How IT Works Build Model (Theory) That Does the Same or Similar Things The Running Model is Test of Your Understanding Page 11