Tentative Schedule


Topic
Week
Date(s)
Additional Information
I. Introduction: What this Course is About 0 Aug 24

II. Classical Artificial Intelligence

A. Early History
Reading: C1 (“The Beginnings of AI”)
(The notation “C1” refers to chapter 1 in Copeland.)

B. Early AI Successes
Reading: C2 (“Some Dazzling Exhibits”)
1 Aug 29

III. The Turing Test
Reading: C3 (“Can a Machine Think”)
Turing (1950), “Computing Machinery and Intelligence” [H2]
(The notation “H2” refers to chapter 2 of Haugeland.)
1 Aug 31
Two “Uncanny Canyons”
IV. Intentionality
Reading: Dennett (1981), “True Believers: The Intentional Strategy and Why It Works” [H3]
2 Sep 5
Notes on Intentionality
V. Physical Symbol Systems

A. The Physical Symbol System Hypothesis
Reading: C4 (“The Symbol System Hypothesis”)
Newell & Simon (1976), “Computer Science as Empirical Inquiry: Symbols and Search” [H4]
2 Sep 7

B. Calculi and Computation
Reading: M2 (“The Continuous and the Discrete”)
(The notation “M2” refers to ch. 2 of a book I am preparing, which I will hand out in class and/or is available online.)
3 Sep 12
NO CLASS!
C. Thought as Computation
Logic and knowledge representation (Hellenistic & Medieval logic); mechanized reasoning (Lull, Hobbes).
Reading: M3 (“Thought as Computation”), parts 3.1–3.4.
3 Sep 14
NO CLASS!
VI. Knowledge Representation Languages

A. Knowledge Representation Languages Before AI
Ideal languages (Wilkins) and mathematics-based approaches to knowledge representation and inference (Leibniz, Boole, Jevons).
Reading: M3 (“Thought as Computation”), parts 3.5–3.8.
(We will discuss M2 and M3 during this class meeting.)
4 Sep 19

B. AI Knowledge Representation Languages
Reading: C5 (Knowledge Representation and Common Sense)
Minsky (1974), “A Framework for Representing Knowledge” [H5]
4
Sep 21

C. Phenomenological Critiques
Reading: Dreyfus (1979), “From Micro-Worlds to Knowledge Representation: AI at an Impasse” [H6]
5 Sep 26

D. The Chinese Room Argument
Reading: C6 (“The Curious Case of the Chinese Room”)
Searle (1980), “Minds, Brains, and Programs” [H7]
5
Sep 28

VII. Free Will and Robots
Reading: C7 (“Freedom”)
6
Oct 3

VIII. Consciousness
Reading: C8 (“Consciousness”)
6
Oct 5

IX. Connectionism and Neural Networks

A. Brains vs. Computers
Reading: C9 (“Are We Computers?”) + undetermined additional reading on neuroscience
7 Oct 10

B. Connectionism
Reading: C10.1-5 (“AI’s Fresh Start: Parallel Distributed Processing”)
Rumelhart (1989), “The Architecture of Mind: A Connectionist Approach”) [H8]
Smolensky (1989), “Connectionist Modeling: Neural Computation / Mental Connections” [H9]
8
Oct 17, 19

C. Neurophilosophy
Reading: Paul Churchland (1989), “On the Nature of Theories: A Neurocomputational Perspective” [H10]
9
Oct 31

D. Critiques of Connectionism
Reading: Rosenberg (1990), “Connectionism and Cognition” [H11]
Fodor & Pylyshyn (1988), “Connectionism and Cognitive Architecture: A Critical Analysis” [H12]
9–10 Nov 2, 7

E. Eliminativism
Reading: Ramsey, Stich & Garon (1990), “Connectionism, Eliminativism, and the Future of Folk Psychology” [H13]
10
Nov 9

F. Symbolic Cognition and Connectionism
Reading: C10.7-11 (“The Church-Turing Thesis” etc.)
Clark (1992), “The Presence of a Symbol” [H14]
11 Nov 14

XI. Natural and Artificial Intelligence in the Real World

A. Embodied Intelligence
Reading: Brooks (1991), “Intelligence without Representation” [H15]
11 Nov 16

B. Dynamics and Cognition
Reading: van Gelder (1996), “Dynamics and Cognition” [H16]
12 Nov 21

X. Limitations of the Discrete
A. Natural Computation
Reading: MacLennan (2003), “Transcending Turing Computability” [pdf]
13 Nov 28

B. Collective Intelligence (Self-organization in Social Insect etc.)
13
Nov 30

XII. Wrapup / Discussion
14
Dec 5



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Last updated: 2006-09-05.