BIT 354
                                              WITH EFFECTFROM THE ACADEMIC YEAR 2012-2013

ARTIFICIAL INTELLIGENCE

Instruction                                                                                                           4 Periods per week
Duration of University Examination                                                                   3Hours
University Examination                                                                                     75Marks
Sessional                                                                                                            25 Marks

UNIT-I
Introduction: Definition, history andapplications of AI.
Search in StateSpaces :Agentsthatplan, Uniformed search, Algorithm A*, Heuristic FunctionsandSearch Efficiency, Alternative Search Formulations and Applications, AdversarialSearch,

UNIT-II
Knowledge RepresentationandReasoning:The Propositional Calculus,Resolutionin PropositionalCalculus,The Predicate Calculus, Resolution in Predicate Calculus, Rule Based Expert Systems, Representing CommonSenseKnowledge.

UNIT-III
Reasoning with Uncertain Information (Nilsson)
Planning (Nilsson) :The SituationCalculus, Planning.

UNIT-IV
LearningfromObservations :Learning decision-trees using Information theory; LearningGeneral LogicalDescriptions.Neural Networks:Perceptron, multilayerfeedforwardnetwork, Rule Learning.

UNIT-V
Natural Language Processing: Communication among agents. Speech Recognition: Signal Processing, SpeechRecognitionMode (LanguageModel+Acoustic Model), TheViterbiAlgorithm.

Suggested Reading
1.NilsJ Nilsson (1998),Artificial Intelligence,ANewSynthesis.Elsevier.
2. StuartRussell,PeterNorvig(1995),ArilficialIntelligence,AModernApproach.Pearson Edition/PHI.
3.Elaine Rich andKevin Knight (1991),Artificial Intelligence,McGrawHill.