PSYC 418 Introduction to Cognitive Science
Spring 2006    Section #68204
214 Fraser Hall    1:00-2:15 TR



 
 
 
 
 
 
 
 
Instructor: Prof. Michael Vitevitch
Office: Fraser Hall 406
Phone:  864-9312
 e-mail: mvitevit@ku.edu

Office hours: MW 10am-Noon, or by appointment. You may also call or e-mail me with brief questions, or ask brief questions before and after class.
 
 

Textbook & Readings: Cognitive Sciences: An Introduction to the Study of Mind. Friedenberg & Silverman. Published in 2006 by Sage Publications. This book will be used to provide historical background and context to the material that we will cover in class. Additional readings will be available on the class web site in PDF format.
 
 

Assignments & Grades: Final grades will be based on the grades from 2 exams (80%) and on class attendance and participation (20%). The format of the exams will be essay/short answer type questions that will be completed "at home" (they should be typed, have appropriate references, proper grammar, correct spelling, etc.). Exact due dates will be announced in class at least 1 week in advance. The grade on these papers will be based on the quality of the content, as well as your ability to communicate that content (i.e., use of appropriate references, proper grammar, correct spelling, etc.). Please make yourself VERY familiar with the resources available to you through the KU Writing Center. Final grades will be based on the percentages listed below. Percentages are calculated by dividing the number of points you earn by the total number of possible points, and multiplying by 100.
 

A    90.0%-100%
B    80.0%-89.9%
C    70.0%-79.9%
D    60.0%-69.9%
F    below 60.0%
Attendance & Participation: Students are required to attend classes. Up to three classes can be missed without an excused absence (e.g., due to medical or religious reasons) with no harm to your grade. Additional absences or lack of participation when in attendance will result in a reduction of this portion of your grade.

 
 

Academic Misconduct: Students are expected to observe all University guidelines pertaining to academic misconduct. As stated in the University Senate Rules and Regulations: "Section 6. Academic Misconduct. (2.6.1) Academic misconduct by a student shall include, but not be limited to, disruption of classes; threatening an instructor or fellow student in an academic setting; giving or receiving of unauthorized aid on examinations or in the preparation of notebooks, themes, reports or other assignments; knowingly misrepresenting the source of any academic work; unauthorized changing of grades; unauthorized use of University approvals or forging of signatures; falsification of research results; plagiarizing of another's work; violation of regulations or ethical codes for the treatment of human and animal subjects; or otherwise acting dishonestly in research."

Academic misconduct will not be tolerated and will be dealt with severely in accordance with all University rules and regulations.
 
 

Resources for Students with Disabilities: The KU office of Disability Resources coordinates accommodations and services for all students who are eligible. If you have a disability for which you wish to request accommodations and have not contacted DR, please do so as soon as possible. Their office is located in 22 Strong Hall; their phone number is 785-864-2620 (V/TTY). Information about their services can be found at http://disability.ku.edu. Please also contact me privately in regard to your needs in this course.
 

Some topics that we will discuss this semester: The goals of science, what CogSci studies, the disciplines that comprise CogSci, artificial neural networks (ANN; a.k.a. connectionist models), how evolutionary mechanisms influence processing in ANN, other types of network models of cognitive processes, applications of CogSci to the design of everyday objects.
 

Some important dates to keep in mind:

March 20-26, 2006 (SPRING BREAK), May 8, 2006 (LAST DAY OF CLASSES), May 9, 2006 (STOP DAY)

Although we have a day and time scheduled for a final exam, there will be NO final exam for this class.
 
 
 

Topic
Reading
Introduction to Cognitive Science Chapters 1 & 13 from Friedenberg & Silverman
Introduction to Cognitive Psychology (Information Processing) pp. 95-100 & 125-139 of Friedenberg & Silverman
  • We typically “come to know” about processes & representations through experiments:
    • o What is an experiment? 
      o How useful is an experiment?
    Read pages 333-337 (up to Experiment 2) of Vitevitch (2003)
    Mook (1983)
  • Is there more to cognition than symbolic information processing?
  • Turing Test
  • Chinese Room

  • Mind-Brain debate
    pp. 57-59 & 336-345 of Friedenberg & Silverman
    pp. 2-21 of Mason (2005)
  • Another view of information processing that is not symbolic

  •  
    • What can/can't ANNs do (for cognitive science)?

     
     
     

    pp. 207-224 of Friedenberg & Silverman [stop at the section entitled "Semantic networks: Meaning in the Web"

    D.E. Rumelhart (1997). The architecture of mind: A connectionist approach. In Thagard (ed.) Mind Readings: Introductory Selections on Cognitive Science. (pp. 207-238).
     

    Lewandowsky (1993). The rewards and hazards of computer simulations. Psychological Science, 4, 236-243. 

    Dror & Gallogly (1999) Computational analyses in cognitive neuroscience: In defense of biological implausibility. Psychonomic Bulletin & Review, 6, 173-182.

    Amedi, Merabet, Bermpohl & Pascual-Leone (2005). The occipital cortex in the blind: Lessons about plasticity and vision. Current Directions in Psychological Science, 16, 306-311.

     Exam 1 (PDF format)

    More information regarding Exam 1

    Style sheet for Exam 1

    DUE March 16, 2006 at 1pm
  • ANNs essentially categorize things. 

  •  
    Rosch (1978). Principles of categorization. In E. Rosch & B.B. Lloyd (eds.), Cognition and Categorization, 27-48 Hillsdale, NJ: Erlbaum Publishers.

    Medin (2000). Concepts and conceptual structure. In P. Thagard (ed.) Mind Readings, 93-125, MIT Press.

    Carey (2001). The representation of number in natural language syntax and in the language of thought: A case study of the evolution and development of representational resources. In J. Branquinho (ed.) The foundations of Cognitive Science, 25-53, Oxford University Press.

    Categories/Concepts and Language
    Introduction to language (Ch. 9 of F&S)
     
    FYI-Here is the Rayner et al. (2006) article mentioned in class [this is NOT required reading]


    Evolution/Evolution of language (selected sections from F&S and all of C&P article)

    What can Physics tell us about Language? [Watts article]

    Read Chapter 9 (pp. 275-310) The Linguistic Approach: Language and Cognitive Science in Friedenberg & Silverman.

    From Chapter 8 The Evolutionary Approach in Friedenberg & Silverman read pp. 239-246, 256-257 (Language section), 261-273 

    Cangelosi & Parisi (1998). The emergence of a "language" in an evolving population of neural networks. Connection Science, 10, 83-97.

    *Although there are no additional notes posted on the web for the C&P article, we WILL discuss it in class so be sure to take good notes on this topic in class*




    D. J. Watts. (2004). The “new” science of networks. Annual Review of Sociology, 30, 243-270. 
     


    *The Watts article is a bit "math-y," so be sure to understand these key points.*

     Can we link mind and brain? [Mind-Brain revisited]
    Using language as a "case-study" of the relationship between mind and brain.
    From Chapter 6 The Neuroscience Approach in Friedenberg & Silverman read pp 163-181, 201-205. 

    Damasio, H. (2001). Words and concepts in the brain. In J. Branquinho (ed.) The foundations of Cognitive Science, 109-120, Oxford University Press.

    If we truly understand cognition, we should be able to apply what we know.
    How to design objects that people can use without extensive learning [Norman].

    How to improve educational practices through CogSci
    [ 4 brief write-ups from the APS Observer]
     

    Norman, D. (2002) The Design of Everyday Things. pp. 1-33.

    1. How we learn. APS Observer
    2. Principles of Cognitive Science in Education  APS Observer
    3. Test Enhanced Learning APS Observer
    4. Temporal Spacing and Learning. APS Observer


    If we truly understand cognition, we should be able to build an intelligent system (i.e., a robot). [Focus on Dennett; F&S as background]

    The role of self-recognition in an intelligent system [Trends in CogSci]

    The role of free will in an intelligent system. [Trends in CogSci]

    Dennett, D.C. (1994). Consciousness in Human and Robot Minds.  IIAS Symposium on Cognition, Computation and Consciousness. September 1-3, 1994.

    Trends in Cognitive Science (2002) Vol 6, No. 11, pp. 447-450.

    Chapter 12 Robotics: The ultimate intelligent agents in Friedenberg & Silverman  (If you found this chapter interesting, then you may also find  Chapters10-11 of interest.)

    The future of Cognitive Science.
    See this article from the APS Observer.
     
    May 4th, Thursday 
    NO CLASS
    Work on Exam 2
    May 4th, Thursday 
    NO CLASS
    Work on Exam 2
    Exam 2

    Style sheet for Exam 2

    DUE May 6, 2006 at noon
    (I changed the due date because I will be out of town May 4-6. I won't grade the papers until I get back, so you might as well use that additional time to work on your answers.)
       
    May 9th, Tuesday 
    NO CLASS
     May 9th, Tuesday 
    NO CLASS
    May 11th, Thursday
    LAST CLASS MEETING
    May 11th, Thursday
    LAST CLASS MEETING
    Extra Credit

    Schedule of some upcoming talks

    Due May 11, 2006 in class 
    (I changed the due date because there are talks on May 4 & 5, and because I will be out of town on May 9th)