School of Engineering and Informatics (for staff and students)

Topics in the Philosophy of COGS (G5122)

Topics in the Philosophy of Cognitive Science

Module G5122

Module details for 2012/13.

15 credits

FHEQ Level 6


Rather than a set text, students will read a selection of chapters and articles, such as:
Bermudez, Jose Luis (2003). Ascribing thoughts to non-linguistic creatures. Facta
Philosophica 5 (2):313-34 Gamez, David (2007) Progress in Machine Consciousness. Consciousness and
Cognition Volume 17, Issue 3, September 2008, Pages 887-910.
M. A. Boden (forthcoming) "Creativity and Artificial Evolution". In J. Copeland
and R. Brooks (Eds.) Creativity, Mathematics, and Computers (provisional title),
Templeton Press/MIT Press.

Module Outline

This module examines various philosophical foundational issues in cognitive science by focussing on the nature and role of computation and representation in cognitive scientific explanations. In particular, the module asks the question: can our everyday way of understanding the mind, in terms of beliefs, desires and intentions, serve as a foundation for a scientific understanding of mind? The module then analyses various answers that have been given to this question.

Module learning outcomes

Demonstrate an understanding of the way(s) in which cognitive science aims to integrate the mind into the natural world

Demonstrate an understanding of the relative merits of representational and non-representational accounts of cognition.

Demonstrate knowledge of arguments for, and counterarguments to, the elimination of the propositional attitudes from a science of the mind.

Demonstrate an understanding of the relative merits of symbolic and sub-symbolic accounts of cognition.

Coursework components. Weighted as shown below.
PresentationT1 Week 12 34.00%
EssayT1 Week 12 66.00%
Unseen ExaminationSemester 1 Assessment70.00%

Submission deadlines may vary for different types of assignment/groups of students.


Coursework components (if listed) total 100% of the overall coursework weighting value.

TermMethodDurationWeek pattern
Autumn SemesterSeminar2 hours111111111111

How to read the week pattern

The numbers indicate the weeks of the term and how many events take place each week.

Dr Ron Chrisley

Assess convenor

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School of Engineering and Informatics (for staff and students)

School Office:
School of Engineering and Informatics, University of Sussex, Chichester 1 Room 002, Falmer, Brighton, BN1 9QJ
T 01273 (67) 8195

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