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


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


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


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


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


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


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


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


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


1) https://nptel.ac.in

2) http://aima.cs.berkeley.edu/

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