A First Course in Artificial Intelligence
Artificial Intelligence, 1e follows a bottom up approach exploring the basic strategies (starting with search based methods and then moving on to knowledge based methods) needed for problem solving and focuses mainly on the intelligence part. The book offers both the classical methods and updated concepts of the subject like Tabu Search, Beam search. Easy explanations for the concepts with ample of examples, figures and annotations enhance the features of the text makes the textbook an interesting read.Salient featuresIdeal for an introductory course on Artificial Intelligence
Table of Contents
Chapter
1 IntroductionChapter
2 State Space SearchChapter
3 Heuristic SearchChapter
4 Randomized Search and Emergent SystemsChapter
5 Finding Optimal PathsChapter
6 Problem DecompositionChapter
7 PlanningChapter
8 Game Playing
9 Constraint Satisfaction Problems
10 Advanced Planning Methods
11 Knowledge Based Reasoning
12 Logic and Inferences
13 Concepts and Language
14 Structured Knowledge Representations
15 Memory and Experience: Case Based Reasoning
16 Natural Language Processing
17 Reasoning Under Uncertainty
18 Machine Learning



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