Introduction to cognitive science

This course is part of the programme
Cognitive science of language Third Level

Objectives and competences

• Overview of the field of cognitive science, its aims, scope, methods, main questions, main developments, and possible directions for individual research.
Competences:
• Ability to recognize interesting research topics in the field of cognitive science
• Students obtain skills for searching, reading and critical analysis of the scientific litereature in cognitive science

Prerequisites

Not required

Content

• Levels of explanation in cognitive science
• Theory of computation
• Language as a window to the mind
• The Integration challenge
• Models of mental architecture
• Information-processing models of the mind
• Information processing in neural nets
• Symbolic models
• The challenge of consciousness

Intended learning outcomes

• Knowledge of the basic topics in cognitive science
• Knowledge of the cognitive science framework for the study of human
language

Readings

• Alan D. Baddeley. Essentials of human memory, chapter 2 and 3. Cognitive psychology. Psychology Press, Hove, England, 1999.
• Bermudez, Jose Luis. 2010. Cognitive Science: An introduction to the Science of the Mind. Cambridge: Cambridge University Press.
• Patrick Colm Hogan. The Cambridge encyclopedia of the language sciences. Cambridge University Press, Cambridge, 2011.
• Richard K Larson and Kimiko Ryokai. Grammar as science. In Grammar as science, chapter Part II, pages 37-77. MIT Press, Cambridge, Mass., 2010.
• H. C Longuet-Higgins. Mental processes: studies in cognitive science, volume 1 of Explorations in cognitive science. MIT Press, Cambridge, Mass., 1987.
• David Marr. Vision: a computational investigation into the human representation and processing of visual informa-tion. W.H. Freeman, San Francisco, 1982.
• Donald McBurney. How to think like a psychologist: critical thinking in psychology. Prentice Hall, Upper Saddle River, N.J., 1996d.
• Osherson, Daniel N., Lila R. Gleitman and Mark Liberman (eds). 1995. An Invitation to cognitive science. Vol. 1: Language. Cambridge, Mass.: MIT Press.
• Osherson, Daniel N. and Edward E. Smith. 1995. An invitation to cognitive science. Vol. 3: Thinking. Cambridge, Mass.: MIT Press.
• Osherson, Daniel. N., Don Scarborough and Saul Sternberg (eds.) 1998. An invitation to cognitive science. Vol. 4: Methods, Models and Conceptual Issues. Cambridge, Mass.: MIT Press.
• Paul Thagard. Mind readings: introductory selections on cognitive science. MIT Press, Cambridge, Mass., 1998.
• Alan M Turing. Computing machinery and intelligence. Mind, 59(236):433{460, 1950.
• Patrick Henry Winston. Arti_cial intelligence. Addison-Wesley, Reading, Mass., 2nd ed edition, 1984.

Assessment

• Active participation at lectures (10%) • 1 or 2 homework assignments (20%) • Final paper (70%)

Lecturer's references

Associate professor of Linguistics at the University of Nova Gorica.

Bibliography:

  1. STEPANOV, Arthur. Voiding island effects via head movement. 2012. Linguistic inquiry, ISSN 0024-3892, vol. 43, no. 4, str. 680-693.
  2. STEPANOV, Arthur, STATEVA, Penka. 2009. When QR disobeys superiority. Linguistic inquiry, ISSN 0024-3892, vol. 40, no. 1, str. 176-185.
  3. STEPANOV, Arthur, TSAI, Wei-Tien Dylan. 2008. Cartography and licensing of wh-adjuncts : a cross-linguistic perspective. Natural language and linguistic theory, ISSN 0167-806X, vol. 26, no. 3, str. 589-638.
  4. STEPANOV, Arthur. 2007. The end of CED? : minimalism and extraction domains. Syntax, ISSN 1368-0005, vol. 10, no. 1, str. 80-126.
  5. STEPANOV, Arthur. 2007. Morphological case and the inverse case filter. Linguistische Berichte, ISSN 0024-3930, hft. 211, str. 255-276.