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Agenda Pomona College LCS 11: Cognitive Science Overview of information processing in cognitive science Overview of the course topics Introduction Syllabus and expectations Course structure and website Jesse A. Harris


  1. Agenda Pomona College LCS 11: Cognitive Science ֠ Overview of information processing in cognitive science ֠ Overview of the course topics Introduction ֠ Syllabus and expectations ֠ Course structure and website Jesse A. Harris ֠ Questionnaires January 23, 2013 Jesse A. Harris: LCS 11: Cognitive Science, Introduction 1 Jesse A. Harris: LCS 11: Cognitive Science, Introduction 2 What is cognitive science? The mind is like a . . . Cognitive science A modern, interdisciplinary approach to a set of age-old questions: 1. What is the mind? 2. How is the mind structured? 3. What is thought? Intelligence? Consciousness? Jesse A. Harris: LCS 11: Cognitive Science, Introduction 3 Jesse A. Harris: LCS 11: Cognitive Science, Introduction 4

  2. The mind is like a . . . Computational-representational understanding of mind (CRUM) Central hypothesis of cognitive science: “Thinking can be best understood in terms of representational structures in the mind and computational procedures that operate on those structures.” (Thagard, 2005) Jesse A. Harris: LCS 11: Cognitive Science, Introduction 5 Jesse A. Harris: LCS 11: Cognitive Science, Introduction 6 Representations and processes ◮ Representation: The violin was mentally represented . ◮ Processes: The violin was rotated mentally. • Some cognitive procedure was applied to the representation and yielded another representation. Jesse A. Harris: LCS 11: Cognitive Science, Introduction 7 Jesse A. Harris: LCS 11: Cognitive Science, Introduction 8

  3. Representations The famous pipe. How people reproached me for it! And yet, could you stuff my pipe? No, it’s just a representation, is it not? So if I had written on my picture "This is a pipe," I’d have been lying! Torczyner, Harry. Magritte: Ideas and Images. 1979. p. 71. René Margrite, 1928-29, The Treachery of Images Jesse A. Harris: LCS 11: Cognitive Science, Introduction 9 Jesse A. Harris: LCS 11: Cognitive Science, Introduction 10 Computational-representational understanding Representations of mind (CRUM) Representations 1. Picture-like images (Locke and associationists) Central hypothesis of cognitive science: 2. Data structures (by analogy with computer) “Thinking can be best understood in terms of representational structures in the mind and computational procedures that 3. Language-like propositional units (from philosophy) operate on those structures.” (Thagard, 2005) 4. Patterns of neural activation (by analogy with brain) Jesse A. Harris: LCS 11: Cognitive Science, Introduction 11 Jesse A. Harris: LCS 11: Cognitive Science, Introduction 12

  4. Processes Processes 1. Operations on representations 2. Manipulation 3. Algorithm Jesse A. Harris: LCS 11: Cognitive Science, Introduction 13 Recollection test 1. How many stops between 181 St and Lincoln Center on the 1? 2. Where would I transfer from the F to the 6? 3. What is the northernmost stop on the 4? Jesse A. Harris: LCS 11: Cognitive Science, Introduction 16

  5. Numbers Which is bigger? Can symbolize numbers in a variety of ways Prisoner’s tally XII Roman numeral XXX 12 Arabic numeral XXXXX 1100 Binary numeral XXXXXXXXXXXX Prisoner’s tally Jesse A. Harris: LCS 11: Cognitive Science, Introduction 17 Jesse A. Harris: LCS 11: Cognitive Science, Introduction 18 Which is bigger? Which is bigger? Arabic numerals Roman numerals 35 MCXXX 53 DCCLI Question 1 Note What kinds of process were used in the previous problems? Why should di ff erent types of representations of seemingly MCXXX = 1000 + 100 + 10 + 10 + 10 = 1,130 require di ff erent kinds of processes? DCCLI = 500 + 100 + 100 + 50 + 1 = 751 Question 2 What does this have to do with the mind anyway? Jesse A. Harris: LCS 11: Cognitive Science, Introduction 19 Jesse A. Harris: LCS 11: Cognitive Science, Introduction 20

  6. Computational-representational understanding The cognitive hexagram of mind (CRUM) Central hypothesis of cognitive science: “Thinking can be best understood in terms of representational structures in the mind and computational procedures that operate on those structures.” (Thagard, 2005) Jesse A. Harris: LCS 11: Cognitive Science, Introduction 21 Jesse A. Harris: LCS 11: Cognitive Science, Introduction 22 What unites these disciplines? Levels of analysis A set of shared commitments: Multiple levels of analysis required to understand the mind in 1. A set of research questions; information processing terms (Marr, 1982): 2. A set of research methods, even if they vary; 1. Computational level: What kinds of things can the mind 3. A set of common hypotheses, models, and theories under do? consideration; and 2. Representational level: What sorts of representations and 4. A set of data or empirical findings gathered by the processes are employed by the mind? methods. 3. Physical level: How is the mind physically realized? What is Cognitive Science? ∼ von Eckardt 1993 Jesse A. Harris: LCS 11: Cognitive Science, Introduction 23 Jesse A. Harris: LCS 11: Cognitive Science, Introduction 24

  7. Assessment Group questions (20%) GQs raise issues meant to provoke close reading of the text and thoughtful answers to spark group discussion. Class is organizes around learning, rather than assessment, ◮ Randomly assigned groups of three for each module but nevertheless ... ◮ Three DQs per module, each student ( first responders ) Group questions (GQs) 20% must answer one assigned question online by 9PM the Short response papers 40% night before class discussion. Final projects 40% ◮ Other two group members to read response before class and come prepared for group discussion, formulating a position (or disagreement) to be discussed as a class. Jesse A. Harris: LCS 11: Cognitive Science, Introduction 25 Jesse A. Harris: LCS 11: Cognitive Science, Introduction 26 GQ 1.1 from website Short response papers (40%) How would you characterize what it means to be “conscious” You will be asked to write 4 short responses to a reading or a in intuitive terms? Try to use concrete examples. Consider the topic. They should not summarize the issue, but rather take a following quote from Eagleman: concrete, defensible position within the span of 1 –2 pages. Consciousness developed because was advantageous, ◮ Writing prompts will be provided on the webpage but only in limited amounts. (Eagleman, 2010: p. 6) ◮ Due two days after the module ends Do you agree? What are some examples of the advantages and disadvantages of consciousness? Jesse A. Harris: LCS 11: Cognitive Science, Introduction 27 Jesse A. Harris: LCS 11: Cognitive Science, Introduction 28

  8. Final project (40%) Course structure Module 1: Decomposing the mind. The final project is sca ff olded to help you make continual What can the mind do? progress throughout the term, starting with replication of Module 2: Consciousness & Behavior. classic result. What is intelligence and consciousness? How is the mind like a computer? Step 1: Prepare a paragraph on your interests and meet Module 3: Memory. with me by Friday, February 8. How is information encoded, stored, and Step 2: Choose group and replication. retrieved? What types of memory are there? Step 3: Present replication and classic study in class in a Module 4: Language. 5–10 minute presentation. How is language represented and acquired? Is Step 4: Final paper (6–10 pp.) written independently, due language the same for all people and cultures? May 15 (seniors: May 6) Module 5: Vision. How do we see what we see? What do illusions tell us about vision? Jesse A. Harris: LCS 11: Cognitive Science, Introduction 29 Jesse A. Harris: LCS 11: Cognitive Science, Introduction 30 Daily class sessions Class sessions will vary as need be, but here is the basic structure that I hope we adopt: Part 1: Discussion of GQs or class reading Part 2: Expansion of topic in class Part 3: Preview of reading for next class Course website: http://pages.pomona.edu/ ∼ jah24747/courses/lgcs11_s13/lgcs11_s13.html Jesse A. Harris: LCS 11: Cognitive Science, Introduction 31

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