Module 02483 (2001)

Syllabus page 2001/2002

06-02483
Philosophy of Cognitive Science

Level 3/H

ard
10 credits in Semester 2

Links | Outline | Aims | Outcomes | Prerequisites | Teaching | Assessment | Books | Detailed Syllabus


The Module Description is a strict subset of this Syllabus Page. (The University module description has not yet been checked against the School's.)

Relevant Links

Further information about this module, including any last-minute changes, corrections and alterations to the information contained above, can be found on my Philosophy of Cognitive Science module web page .


Outline

Some of the fascinating philosophical problems thrown up by cognitive science and related disciplines will be presented. Philosophical problems are notoriously difficult to solve, so a methodology will be presented to enable students to tackle them. Students will be shown the advantages of pluralism, proliferation and pancritical rationalism.


Aims

The aims of this module are to:

  • present and discuss some of the fascinating philosophical problems that are thrown up by cognitive science and cognate disciplines
  • show that the best way in which to approach a philosophical problem is by using an anti-justificationist methodology
  • encourage students to construct their own theories and to appreciate the value of pluralism, Feyerabend's principle of proliferation and Bartley's pancritical rationalism

Learning Outcomes

On successful completion of this module, the student should be able to: Assessed by:
1 identify some of the key philosophical problems thrown up by work being done in cognitive science and related discipline Continuous Assessment
2 tackle a philosophical problem using an anti-justification methodology Continuous Assessment
3 appreciate the importance of pluralism, proliferation and pancritical rationalism Continuous Assessment
4 distinguish between philosophical problems and other sorts of problem Continuous Assessment
5 use an anti-justificationist methodology Continuous Assessment
6e evaluate proposed theories within cognitive science Continuous Assessment
7 pick an interesting philosophical problem to investigate Continuous Assessment
8 criticise a theory by showing that it fails to solve any problem whatsoever Continuous Assessment
9 criticise a theory by showing that it fails to solve a problem adequately Continuous Assessment
10 avoid asking what-is questions Continuous Assessment
11 put the method of multiple working hypotheses into practice Continuous Assessment
12 appreciate the importance of the belief-filter component of an android Continuous Assessment
13 appreciate the complexity of the task of designing the belief-filter component of an android Continuous Assessment
14 avoid the dangers of ultimate commitment Continuous Assessment
15 distinguish between justification and criticism Continuous Assessment
16 appreciate the errors involved in the strategy of attacking foundations Continuous Assessment
17 recognise when the strategy of attacking foundations is being used Continuous Assessment
18 distinguish between good and bad methodology Continuous Assessment

Restrictions, Prerequisites and Corequisites

Restrictions:

None

Prerequisites:

None

Co-requisites:

None


Teaching

Teaching Methods:

Ten 1 hr weekly lectures.

Contact Hours:

10


Assessment

  • Supplementary (where allowed): As the sessional assessment
  • Continuous assessment (100%): a 3000 word essay.

Recommended Books

TitleAuthor(s)Publisher, Date
The Mind's I: Fantasies and Reflections on Self and Soul Douglas R. Hofstadter and Daniel C. Dennett (editors) Penguin Books , 1982
Knowledge and the Body-mind Problem Karl Popper Routledge , 1994
The Retreat to Commitment (second edition) W. W. Bartley III Open Court , 1984
The Self and its Brain K. R. Popper and J. Eccles Routledge , 1977
Consciousness Explained Daniel C. Dennett Penguin , 1993
Objective Knowledge Karl Popper OUP , 1975
Unended Quest Karl Popper Routledge , 1992
Proofs and Refutations Imre Lakatos CUP , 1976
The Philosophy of Artificial Intelligence Margaret Boden (editor) OUP , 1990
The Philosophy of Artificial Life Margaret Boden (editor) OUP , 1996
The MIT Encyclopedia of the Cognitive Sciences Robert A. Wilson and Frank C. Keil (editors) MIT , 1999
A Companion to the Philosophy of Mind Samuel Guttenplan (editor) Blackwell , 1995
A Companion to Cognitive Science William Bechtel and George Graham (editors) Blackwell , 1998
Toward a Psychology of Being (third edition) Abraham Maslow Wiley , 1998
Testimony: A Philosophical Study C. A. J. Coady OUP , 1992
Android Epistemology Kenneth M. Ford, Clark Glymour and Patrick J. Hayes (editors) MIT Press , 1995
Ten Problems of Consciousness Michael Tye MIT Press , 1995

Detailed Syllabus

  1. Introduction: assessment; style of presentation; philosophical background; methodology; content and topics; treat the essay as a mini-project; possible case studies to be used throughout the course (`Can computers think?', `Is the Turing test adequate to determine whether computers can think?', `Can physical systems think?', `Can Chinese rooms think?', `Can connectionist networks think?', `Can computers think in images?', `Do computers have to be conscious to think?', `Are thinking computers mathematically possible?').
  2. Disciplines: why what-is questions are best avoided; academic disciplines are useful for administrators but not researchers; essentialism and nominalism; theories and larger units (scientific research programmes, paradigms, research traditions); the computational-representational understanding of mind; the CRUM research programme; metaphysical research programmes.
  3. Philosophy: rationale for studying; methodological rules; bad methodology (what-is questions, definition, premature implementation, induction); good methodology (nominalism, proliferation, anti-justificationism, thought-out implementation, the method of multiple working hypotheses and pluralism); background; epistemology (the bucket theory of the mind, the belief-filter component of an android, testimony).
  4. Definitions: terminology, what-is questions; essentialism; real; abbreviatory; bad advice 'Define your terms!'; etymological fallacy; family resemblance; Popper's table of ideas; infinite regress.
  5. Problems: psychology and AI; inconsistencies; facts; difficulties; questions; search problems; philosophical (change, personal identity, body-mind, other minds, universals, testimony, free will); Tye's (ownership, mechanism, phenomenal causation, duplicates); epistemological (justificationist, anti-justificationist, belief-filter component); non-philosophical (practical, theoretical, historical, mathematical); methodological advice; erotetic narratology.
  6. Philosophy of science and creativity: problems as starting points; Popper's tetradic schema; creativity (Hadamard, Evans); context of discovery and criticism; the myth of induction.
  7. Explanation and prediction: covering law model; poor methodology; falsification as good methodology: `We predict by reference to our present theories; we learn by refuting our present theories' (Bartley).
  8. Philosophy of mind: mind-body problem; Popper's three worlds; Tye's ten problems of consciousness; functionalism; closed-world assumption; hierarchical organisation of reality; reduction; emergence; upward and downward causation; evolution.
  9. Belief-filter component: ultimate goal of AI; philosophical problem of testimony; rationalism (uncritical or comprehensive, pancritical); Reid's principle of credulity; Price's principle of trust; the strategy of attacking foundations and Searle's use of; how not to win an argument (Gilbert); infinite regress; ultimate commitment; irrationalism and relativism.

Last updated: 29 July 2001

Source file: /internal/modules/COMSCI/2001/xml/02483.xml

Links | Outline | Aims | Outcomes | Prerequisites | Teaching | Assessment | Books | Detailed Syllabus