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CogSci 207: Week 0: Discussion. Praveen Paritosh Thu, Sep 28, 2004. Administrivia. TA Office Hours. Brian : Wednesdays 10:00-12:00pm, 304 Kate : Monday 3:30-5:30pm, Lounge. Mechanics. Combination of lectures and discussions Weekly homeworks Midterm will be Thu October 21 st , in class
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CogSci 207: Week 0: Discussion Praveen Paritosh Thu, Sep 28, 2004
TA Office Hours • Brian : Wednesdays 10:00-12:00pm, 304 • Kate : Monday 3:30-5:30pm, Lounge
Mechanics • Combination of lectures and discussions • Weekly homeworks • Midterm will be Thu October 21st, in class • Final exam will be Fri December 10, 12pm-2pm
Communications • Class web site =http://www.cogsci.northwestern.edu/courses/cg207/ • To contact Brian, Kate or Praveen re class matters:cogsci207-staff@cs.northwestern.edu • For class discussions, we will use the discussion forums in Blackboardhttps://courses.northwestern.edu/webapps/login
Grading • Midterm: 20% • Final exam: 30% • Reading/Modeling Assignments: 50%
Reading papers • No textbook, but a collection of research papers. • We want you to READ the papers.
Critiques • For each paper, three one sentence long critiques – of what is wrong with the paper. • Due at the beginning of the Tue (Discussion) class. • Will be used as a basis for the discussion, so be prepared to defend your critique! • Will account for a third of your grade.
Classes • Thursday: • Lecture • Readings assigned • Tuesday: • Critiques due before class • Discussion based on critiques and readings • Modeling homework assigned, due following Tuesday.
Modeling Assignments • Turned in via email to cogsci207-staff@cs.northwestern.edu • No hardcopies or email to other addresses • ASCII or HTML preferred, followed by PDF or Word. (If HTML, must be self-contained: Broken links will lose you points) • Late homeworks will be downgraded • All work you turn in must be your own. Reading assignments due beginning of discussion class on Tuesdays. Bring hardcopy of critiques to class.
Readings • Turing, A. M. "Computing Machinery and Intelligence," Mind, New Series, Vol. 59, No. 236. (Oct., 1950), pp. 433-460. (also available here). • Minsky, M. "Why people think computers can't". AI Magazine, Fall, 1982. • Miller, G. "The Cognitive revolution: A historical perspective", Trends in Cognitive Sciences, 7(3), March 2003.
Turing • Turing test as a definition of intelligence. • Computation and universality of the digital computer. • Arguments against why machines cant think.
Minsky • Meaning – what does “Dog” mean? • Computations over symbolic representations.
Miller • Behaviorism versus Cognitivism. • Information processing • Psychplogy, Linguistics, Computer Science as central • Neuroscience, Anthropology, Philosophy peripheral.
Readings for Week 1 Lenat, D. From 2001 to 2001: Common Sense and the Mind of HAL, In Hal's Legacy: 2001's Computer as Dream and Reality edited by: David G. Stork. Chapter 1, Markman, A.B. Knowledge Representation. LEA Foundations of KR section from OpenCyc's Cyc 101 tutorial:Why use logic?, CycL Syntax, Collections and Individuals, Microtheories.
HW1 1. Model a conversation. Write down a real(istic) conversation between two people (can be borrowed from your life as long as it is legal). For example, consider the exchange with the barista when you are buying your first cup of coffee early in the morning. For each utterance, write down all the internal thoughts, processes, assumptions made and calculations going on inside the speaker's head before it is spoken aloud. Based on the above how can we make chatbots more real?
HW1 2. What is the ratio of "internal thoughts triggered" per "external utterance" in a typical conversation? While reading a book? Watching TV? How much does it vary based on the topic of the conversation, book, or show? Defend your answer by examples.
HW1 • You read about “common sense”. How many common sense facts do you know? Defend your estimate.