Introduction to AI. Future of Artificial Intelligence — Characteristics of Intelligent Agents– Typical Intelligent Agents — Problem Solving Approach to Typical AI problems.

Search Methods: Uninformed Search, Informed Search, Path Search vs. Local Search. Game Playing Through Search: Minimax and Alpha-Beta 

Constraint Satisfaction. Inductive Learning. Decision Trees. Artificial Neural Networks Propositional & First Order Logic.

Architecture for Intelligent Agents — Agent communication — Negotiation and Bargaining — Argumentation among Agents — Trust and Reputation in Multi-agent systems. AI applications — Language Models — Information Retrieval- Information Extraction — Natural Language Processing — Machine Translation — Speech Recognition — Robot — Hardware — Perception — Planning — Moving. 

1. Artificial Intelligence: A Modern Approach – The Intelligent Agent Book 3rd Ed. by S. Russell and P. Norvig, Prentice-Hall, 2010.
2. Vinod Chandra S S and Hareendran S, Artificial Intelligence and Machine Learning, first edition, PHI, 2022.
3. Principles of Artificial Intelligence – Nils J. Nilsson (Narosa Publishing House)
4. Introduction to Artificial Intelligence – Eugene Charnaik, Drew McDermott (Pearson Education Asia)