Author Description

The Notion Of Artificial Intelligence (ai) Often Sparks Thoughts Of Characters From Science Fiction, Such As The Terminator And Hal 9000. While These Two Artificial Entities Do Not Exist, The Algorithms Of Ai Have Been Able To Address Many Real Issues, From Performing Medical Diagnoses To Navigating Difficult Terrain To Monitoring Possible Failures Of Spacecrafts. Exploring These Algorithms And Applications, Contemporary Artificial Intelligence Presents Strong Ai Methods And Algorithms For Solving Challenging Problems Involving Systems That Behave Intelligently In Specialized Domains Such As Medical And Software Diagnostics, Financial Decision Making, Speech And Text Recognition, Genetic Analysis, And More. Chapter 1 Introduction To Artificial Intelligence -- Part I Logical Intelligence -- Chapter 2 Propositional Logic -- Chapter 3 First-order Logic -- Chapter 4 Certain Knowledge Representation -- Part Ii Probabilistic Intelligence -- Chapter 5 Probability -- Chapter 6 Uncertain Knowledge Representation -- Chapter 7 Advanced Properties Of Bayesian Network -- Chapter 8 Decision Analysis -- Part Iii Emergent Intelligence -- Chapter 9 Evolutionary Computation -- Chapter 10 Swarm Intelligence -- Part Iv Learning -- Chapter 11 Learning Deterministic Models -- Chapter 12 Learning Probabilistic Model Parameters -- Chapter 13 Learning Probabilistic Model Structure -- Chapter 14 More Learning -- Part V Language Understanding -- Chapter 15 Natural Language Understanding. By Richard E. Neapolitan. Bibliographic Level Mode Of Issuance: Monograph Includes Bibliographical References And Index. English