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 Very simple, lucid and richly annotated writing style targeted at student readers.Search based to Knowledge based approach using agents all across.Detailed and well-structured algorithms with proofs.Table of ContentsChapter 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 PlayingChapter 9 Constraint Satisfaction ProblemsChapter 10 Advanced Planning MethodsChapter 11 Knowledge Based ReasoningChapter 12 Logic and InferencesChapter 13 Concepts and LanguageChapter 14 Structured Knowledge RepresentationsChapter 15 Memory and Experience: Case Based ReasoningChapter 16 Natural Language ProcessingChapter 17 Reasoning Under UncertaintyChapter 18 Machine Learning
