Artificial Intelligence Tutorial Review

Developed and compiled by Eyal Reingold and Johnathan Nightingale

Welcome to the PSY371 Artificial Intelligence tutorial review. These pages were developed for the use of psychology students interested in the field of Artificial Intelligence, especially as it relates to the ongoing investigations in psychology aimed at understanding the human mind. This review is meant to be treated as a unified whole since there is a great deal of interconnection between the topics, and since later chapters may depend to some extent on earlier readings.

This review has been designed with the expectation that its readers are new to the area, and care is taken to explain concepts fully. The review should provide an interesting and accessible introduction for beginners, but may be somewhat redundant for readers with more background in the area. Nevertheless, more advanced readers may find interesting links and demonstrations throughout the review. Also, in hopes of keeping the tutorial accessible, many of the more technical issues in AI have been simplified or avoided, with more emphasis being put on conceptual developments and interactive examples. For readers interested in implementation issues, and a computer science perspective, see the University of Nottingham AIM course.


1) Early Work in AI
2) Can Machines Think?
     2.1) Turing Test
     2.2) Chinese Room
     2.3) Can Computers be Creative?
     2.4) Can Computers possess Emotional Intelligence?
     2.5) Consciousness in AI
3) Symbolic AI
     3.1) Common Sense Knowledge Problem
     3.2) CYC
     3.3) Expert Systems
     3.4) Game Playing: Man vs. Machine
4) Artificial Neural Networks
     4.1) Brainwave Neural Net Tutorial
5) Robotics and Computer Vision
6) Artificial Life
7) Additional Resources

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