The Ghost in the Machine (G5077)
Cognitive Science 1: The Ghost in the Machine
Module G5077
Module details for 2013/14.
15 credits
FHEQ Level 4
Library
Rather than a set text, students will read a selection of chapters and articles, such as: Jackson, Frank (1986). "What Mary Didn't Know". Journal of Philosophy (83): 291-295.
Searle, John (1980), "Minds, Brains and Programs", Behavioral and Brain Sciences 3 (3): 417-457
Turing, Alan (October 1950), "Computing Machinery and Intelligence", Mind LIX (236): 433-460
Module Outline
What is it to be an intelligent embodied person? We will look at a number of different `materialist' theories, concentrating on variants of the computer model, and on neurophysiologically based accounts of mind. In doing so, we will examine some of the basic issues underlying cognitive science as an interdisciplinary study of the mind, taking in topics from psychology, neurosicence, linguistics, computing, artificial intelligence, robotics, evolutionary theory, biology and philosophy along the way.
Module learning outcomes
Demonstrate familiarity with the basics of philosophical and methodological problems in cognitive science.
Demonstrate a basic grasp of the way different disciplines (eg psychology, neuroscience, linguistics, computer science and AI, robotics, biology, etc.) collaborate and compete together over their treatment of common themes in cognitive science.
Appreciate the importance of thinking and reasoning clearly, of expressing their ideas with clarity, and critically reflecting upon their own views and prejudices.
| Type | Timing | Weighting |
|---|---|---|
| Coursework | 100.00% | |
| Coursework components. Weighted as shown below. | ||
| Presentation | T1 Week 12 (10 minutes) | 30.00% |
| Essay | A1 Week 2 | 70.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
| Term | Method | Duration | Week pattern |
|---|---|---|---|
| Autumn Semester | Lecture | 1 hour | 111111111111 |
| Autumn Semester | Seminar | 1 hour | 111111111111 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Dr Simon Bowes
Assess convenor
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