ISBN: Author(s): Language: Publisher: Edition: Edition:
Artificial Intelligence
E. Rich, K. Knight - ISBN: 9780071008945
ISBN: Author(s): Language: Publisher: Edition: Edition:
On this page you find summaries, notes, study guides and many more for the study book Artificial Intelligence, written by E. Rich & K. Knight. The summaries are written by students themselves, which gives you the best possible insight into what is important to study about this book. Subjects like it notes, information technology, cs notes, computer science, btech notes, artificial intelligence & ai notes will be dealt with.
Popular summaries Artificial Intelligence Notes
Artificial Intelligence
Artificial Intelligence
Artificial Intelligence Complete Course Topics covered: 1. History of AI,Intelligent Agents,Problem Space Search,Search Techniques,Constraint Satisfaction,Mean End Analysis. 2. Knowledge Representation(Complete) 3. Reasoning Under Uncertainty(Complete) 4. Planning and Learning(Complete) 5. Game playing(Complete)
- Class notes
- • 58 pages •
Class notes
Artificial Intelligence
Last document update: agoArtificial Intelligence Complete Course Topics covered: 1. History of AI,Intelligent Agents,Problem Space Search,Search Techniques,Constraint Satisfaction,Mean End Analysis. 2. Knowledge Representation(Complete) 3. Reasoning Under Uncertainty(Complete) 4. Planning and Learning(Complete) 5. Game playing(Complete)
Latest notes & summaries Artificial Intelligence Notes
Artificial Intelligence
Artificial Intelligence
Artificial Intelligence Complete Course Topics covered: 1. History of AI,Intelligent Agents,Problem Space Search,Search Techniques,Constraint Satisfaction,Mean End Analysis. 2. Knowledge Representation(Complete) 3. Reasoning Under Uncertainty(Complete) 4. Planning and Learning(Complete) 5. Game playing(Complete)
- Class notes
- • 58 pages •
Class notes
Artificial Intelligence
Last document update: agoArtificial Intelligence Complete Course Topics covered: 1. History of AI,Intelligent Agents,Problem Space Search,Search Techniques,Constraint Satisfaction,Mean End Analysis. 2. Knowledge Representation(Complete) 3. Reasoning Under Uncertainty(Complete) 4. Planning and Learning(Complete) 5. Game playing(Complete)