Get access to the latest JNTU-AI Subject Material 2024 with this comprehensive blog post. We break down key concepts and provide download links to help you ace your exams.
Access JNTU-AI Subject Material 2024
UNIT I:
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.
UNIT II:
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
UNIT III:
Logic concepts: Introduction, propositional calculus, proportional logic, natural deduction system,
axiomatic system, semantic tableau system in proportional logic, predicate logic
UNIT IV:
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.
UNIT V:
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.