1. Part II: Artificial Intelligence as Representation and Search
1. Automatic Computers
2. How Can a Computer be Programmed to Use a
Language?
3. Neuron Nets
4. Theory of the Size of a Calculation
5. Self Improvement (Machine Learning)
6. Abstractions
7. Randomness and Creativity
George F Luger
ARTIFICIAL INTELLIGENCE 6th edition
Structures and Strategies for Complex Problem Solving
Luger: Artificial Intelligence, 6th edition. © Pearson Education Limited, 2009

2. A proposal for the Dartmouth summer research project on Artificial Intelligence (url IIa).
We propose that a 2 month, 10 man [sic] study of artificial intelligence be carried out during the summer of 1956 at Dartmouth College in Hanover, New Hampshire. The study is to proceed on the basis of the conjecture that every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it. An attempt will be made to find how to make machines use language, form abstractions and concepts, solve kinds of problems now reserved for humans, and improve themselves. We think that a significant advance can be made in one or more of these problems if a carefully selected group of scientists work on it together for a summer.
J. McCARTHY, Dartmouth College
M.L. MINSKY, Harvard University
N. ROCHESTER, I.B.M Corporation
C.E.SHANNON, Bell Telephone Laboratories
August 31, 1955
Luger: Artificial Intelligence, 6th edition. © Pearson Education Limited, 2009

3. How Can a Computer be Programmed to Use a Language Neuron Nets
Main topics for discussion at the AI conference, Dartmouth College (url IIa).
Automatic Computers
How Can a Computer be Programmed to Use a Language
Neuron Nets
Theory of the Size of a Calculation
Self-Improvement (Machine Learning)
Abstractions
Randomness and Creativity
Luger: Artificial Intelligence, 6th edition. © Pearson Education Limited, 2009

4. Fig II.1 Different representations of the real number π.
Luger: Artificial Intelligence, 6th edition. © Pearson Education Limited, 2009

5. Fig II.2 Digitized image of chromosomes in metaphase.
Luger: Artificial Intelligence, 6th edition. © Pearson Education Limited, 2009

6. Logical Clauses describing some important properties and relationships of fig II.3
General rule
Luger: Artificial Intelligence, 6th edition. © Pearson Education Limited, 2009

7. Fig II.3 A blocks world.
Luger: Artificial Intelligence, 6th edition. © Pearson Education Limited, 2009

8. Logical predicates representing a simple description of a bluebird.
Luger: Artificial Intelligence, 6th edition. © Pearson Education Limited, 2009

9. Fig II.4 Semantic network description of a bluebird.
Luger: Artificial Intelligence, 6th edition. © Pearson Education Limited, 2009

10. Fig II.5 Portion of the state space for tic-tac-toe.
Luger: Artificial Intelligence, 6th edition. © Pearson Education Limited, 2009

11. Fig II.7 State space description of the automotive diagnosis problem.
Luger: Artificial Intelligence, 6th edition. © Pearson Education Limited, 2009