ARTIFICIAL INTELLIGENCE (BCS515B)

ARTIFICIAL INTELLIGENCE

Course Code BCS515B 
CIE Marks 50
Teaching Hours/Week (L: T:P: S) 3:0:0:0 
SEE Marks 50
Total Hours of Pedagogy 40 
Total Marks 100
Credits 03 
Exam Hours 3
Examination type (SEE) Theory

Module-1

Introduction: What Is AI? , The State of The Art.

Intelligent Agents: Agents and environment, Concept of Rationality, The nature of

environment, The structure of agents.

Module-2

Problem‐solving: Problem‐solving agents, Example problems, Searching for Solutions

Uninformed Search Strategies

Module-3

Problem‐solving: Informed Search Strategies, Heuristic functions

Logical Agents: Knowledge–based agents, The Wumpus world, Logic, Propositional logic,

Reasoning patterns in Propositional Logic

Module-4

First Order Logic: Representation Revisited, Syntax and Semantics of First Order logic, Using

First Order logic, Knowledge Engineering In First-Order Logic

Inference in First Order Logic: Propositional Versus First Order Inference, Unification,

Forward Chaining

Module-5

Inference in First Order Logic: Backward Chaining, Resolution

Classical Planning: Definition of Classical Planning, Algorithms for Planning as State-Space

Search, Planning Graphs

Suggested Learning Resources:

Text Book

Stuart J. Russell and Peter Norvig, Artificial Intelligence, 3rd Edition, Pearson, 2015

Reference Books

1. Elaine Rich, Kevin Knight, Artificial Intelligence, 3rd edition, Tata McGraw Hill, 2013

2. George F Lugar, Artificial Intelligence Structure and strategies for complex, Pearson

Education, 5th Edition, 2011

3. Nils J. Nilsson, Principles of Artificial Intelligence, Elsevier, 1980

4. Saroj Kaushik, Artificial Intelligence, Cengage learning, 2014