The first American edition of the book "Artificial Intelligence: A Modern Approach" has become a classic in AI literature. This book has been adopted by more than 800 universities in 89 countries and has been praised as the definitive reference in Artificial Intelligence.

In the second American edition, all chapters have been extensively rewritten. Significant new material has been added covering various areas such as:

• Constraint satisfaction
• Fast propositional inference
• Design graphs
• Agents on the Internet
• Exact probabilistic inference
• Monte Carlo Markov chain techniques
• Kalman filters
• Collective learning methods
• Statistical learning
• Probabilistic natural language models
• Probabilistic robotics
• The ethical aspects of Artificial Intelligence

The book is supported by a set of electronically available resources, which include source code, images, lecture slides, a list of over 800 links for "Artificial Intelligence on the Web", and an online discussion group.

All of these are available at aima.cs.berkeley.edu. Corresponding information and additional material for the Greek edition of the book can be found at aima.uom.gr.