JNTUK R20 3-1 Artificial Intelligence Material/Notes PDF Download

29/11/2022

JNTUK R20 3-1 Artificial Intelligence Material/Notes PDF Download

Students those who are studying JNTUK R20 CSE Branch, Can Download Unit wise R20 3-1 Artificial Intelligence Material/Notes PDFs below.

JNTUK R20 3-1 Artificial Intelligence Material/Notes PDF Download

Course Objectives: The main objectives are

Know the methodology of Problem solving
Implement basic AI algorithms
Design and carry out an empirical evolution of different algorithms on a problem formalization

Course Outcomes: At the end of the course, the students will be able to:

Understand the fundamental concepts in Artificial Intelligence
Analyze the applications of search strategies and problem reductions
Apply the mathematical logic concepts.
Develop the Knowledge representations in Artificial Intelligence.
Explain the Fuzzy logic systems

UNIT-1

Introduction to artificial intelligence: Introduction ,history, intelligent systems, foundations of AI, applications, tic-tac-tie game playing, development of AI languages, current trends in AI.

Download UNIT-1 Material PDF | Reference-2

UNIT-2

Problem solving: state-space search and control strategies: Introduction, general problem solving, characteristics of problem

Search Strategies: exhaustive searches, heuristic search techniques, iterative-deepening A*, constraint satisfaction

Download UNIT-2 Material PDF | Reference-2

UNIT-3

Logic concepts: Introduction, propositional calculus, proportional logic, natural deduction system, axiomatic system, semantic tableau system in proportional logic, predicate logic

Download UNIT-3 Material PDF | Reference-2

UNIT-4

Knowledge representation: Introduction, approaches to knowledge representation, knowledge representation using semantic network, extended semantic networks for KR Advanced knowledge representation techniques: Introduction, conceptual dependency theory, script structure.

Download UNIT-4 Material PDF | Reference-2

UNIT-5

Expert system and applications: Introduction phases in building expert systems, expert system versus traditional systems, rule-based expert systems blackboard systems truth maintenance systems, application of expert systems, list of shells and tools.

Download UNIT-5 Material PDF | Reference-2

TEXT BOOKS:

1. Artificial Intelligence, Saroj Kaushik, CENGAGE Learning,

2. Artificial intelligence, A modern Approach , 2nd ed, Stuart Russel, Peter Norvig, PEA

3. Artificial Intelligence, Rich, Kevin Knight, Shiv Shankar B Nair, 3rd ed, TMH

4. Introduction to Artificial Intelligence, Patterson, PHI

REFERENCE BOOKS:

1. Artificial intelligence, structures and Strategies for Complex problem solving, -George F Lugar, 5th ed, PEA

2. Introduction to Artificial Intelligence, Ertel, Wolf Gang, Springer

3. Artificial Intelligence, A new Synthesis, Nils J Nilsson, Elsevier

e-Resources:

1) https://nptel.ac.in