Savitribai Phule Pune University, Maharashtra (SPPU), Artificial Intelligence Semester 4, Introduction to Artificial Intelligence Syllabus

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Unit - 1 Introduction

Unit 1

Introduction

1.1 What is AI

1.2 History Applications

1.3 Artificial intelligence as representation Search

1.4 Production system

1.5 Basics of problem solving problem representation paradigms

1.6 Defining problem as a state space representation

1.7 Characteristics

Unit - 2 Search Techniques

Unit 2

Search Techniques

2.1 Uninformed Search techniques

2.2 Informed Heuristic Based Search

2.3 Generate and test

2.4 Hillclimbing

2.5 BestFirst Search

2.6 Problem Reduction and Constraint Satisfaction

Unit - 3 Knowledge representation

Unit 3

Knowledge representation

3.1 Knowledge representation

3.2 Issues First order logic

3.3 Predicate Logic

3.4 Structured Knowledge Representation Backward Chaining

3.5 Resolution

3.6 Semantic Nets

3.7 Frames and Scripts Ontology

Unit - 4 Uncertainty

Unit 4

Uncertainty

4.1 Handing uncertain knowledge

4.2 Rational decisions

4.3 Basics of probability

4.4 Axioms of probability

4.5 Bayes Rule and conditional independence

4.6 Bayesian networks

4.7 Exact and Approximate inference in Bayesian Networks

4.8 Fuzzy Logic

4.9 Intelligent Agents Introduction to Intelligent Agents

4.10 Rational Agent their structure

4.11 Reflex agent

4.12 Modelbased agent

4.13 Goalbased agent

4.14 Utilitybased agent

4.15 Behavior and environment in which a particular agent operates

Unit - 5 Learning

Unit 5

Learning

5.1 What is learning

5.2 Knowledge and learning

5.3 Learning in Problem Solving

5.4 Learning from example

5.5 Learning probabilistic models

5.6 Expert Systems Fundamental blocks

5.7 Knowledge Engineering

5.8 Knowledge Acquisition

5.9 Knowledge Based Systems

5.10 Basic understanding of Natural language

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Other Subjects of Semester-4
Database management system
Microcontroller and embedded systems
Object oriented programming using java
Mathematical foundations for artificial intelligence
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