Description

After completing this textbook, learners will be able to understand the evolution, history, and foundations of Artificial Intelligence; explain intelligent agents, their structures, percepts, actuators, and task environments; differentiate human-like thinking and behavior from rational models; describe common and expert AI tasks; formulate problems using state-space representation with initial, goal states, and operators; and apply uninformed and informed search techniques such as BFS, DFS, IDS, Hill Climbing, Simulated Annealing, Online Search, while evaluating search strategies based on completeness, optimality, and computational complexity to solve classical AI problems like the 8-Puzzle, Water Jug, and Tic-Tac-Toe. Learners will classify intelligent agents, analyze percept sequences, agent functions, and programs, study agent architectures including reflex, model-based, goal-based, utility-based, and learning agents, and evaluate performance within various environments. They will understand tree and graph search fundamentals, implement BFS and DFS, compare uninformed methods, and apply them to standard problem-solving scenarios. They will further explore heuristic-driven strategies, the role of admissible and consistent heuristics, Greedy Best-First Search and A*, analyze A* optimality and completeness, and apply heuristic search to route finding and optimization. Learners will study partial-observation search and local search methods such as Hill Climbing, Simulated Annealing, and stochastic approaches, handling challenges like local maxima, ridges, and plateaus in both discrete and continuous spaces. They will formulate and solve Constraint Satisfaction Problems using constraint graphs, propagation, backtracking, and forward checking for map coloring, cryptarithmetic, and scheduling tasks. In adversarial search, they will apply minimax, construct game trees, compute utilities, and implement Alpha–Beta Pruning to optimize decision making in games like Chess.

About The Author

Mrs. Jayashri M serves as an Assistant Professor in the Department of CSE at S.E.A College of Engineering and Technology, Bangalore, with over 12 years of teaching experience. She holds an M.E in Information and technology from UVCE, Bangalore and is currently pursuing her Ph.D. at Presidency University, Bangalore. Her research interests include Machine Learning, Artificial Intelligence, and Deep learning. Her areas of expertise include Digital Design, Microcontroller, Microprocessor, Network Security She has published a patent on” A System and method for early detection and prediction of crop diseases using smart Agricultural technology” Received best paper award in the AICT VAANI Conference on “Smart cities for future enhancing sustainability through IOT and AI Integration” Received Best teacher award. She has presented paper in international conference She is active member of ISTE (Life member), CSI, AIENG. She has also earned several professional certifications. A committed educator with a passion for teaching, innovation, and student development. I aim to inspire young minds and contribute meaningfully to their academic journey.

Mrs. Saswati Behera is works as an Assistant Professor at S.E.A College of Engineering & Technology, Bangalore. She holds M. Tech. degree from Sathyabama University, Chennai, and she is currently pursuing her Ph.D. at REVA University, Bangalore. Her research interests include Artificial Intelligent Machine Learning. She is a lifetime member of ISTE and IAENG. She has presented and published research papers in IEEE and other reputed international journals, and has served as a Jury Member in the Smart India Hackathon(SIH).
She has contributed to the research community by serving as a reviewer for IEEE 2nd International Conference on Circuit, Power and Intelligent Systems (CCPIS) organized by Silicon University. She has also authored a book published by the Taylor & Francis Group titled “Applied Artificial Intelligence and Machine Learning Techniques for Engineering Applications.”. She has been honoured with the Best Teacher Award for consistent contribution to student growth. She has completed various certifications that strengthen her professional skill set.

Dr. Krishna Kumar P. R is a seasoned academician and researcher with over twenty-four years of experience in teaching, research, and academic administration. He currently serves as Professor and Head of the Department of Computer Science and Engineering at SEA College of Engineering and Technology, Bangalore. He holds a Ph.D. in Computer Science and Engineering with a specialization in the Internet of Things (VTU, 2022), a D.Lit. in IoT from the Indian Economic University (2018), an M.E. in Computer Science and Engineering from UVCE, Bangalore University (2006), and a B.E. in Computer Science and Engineering from Kuvempu University (2001). Dr. Krishna Kumar’s research interests span IoT, Smart Cities, Artificial Intelligence, Blockchain, Big Data, and Cybersecurity. He has authored several research papers in Scopus and UGC-indexed journals and co-authored the book “Blockchain Enabled Secure Big Data Computing for Smart Cities Using IoT” (Cipher Publisher, 2024). His innovative contributions include published patents on a Voice-Assisted Medicine Dispenser and a Coconut De-husking Machine. As Principal Investigator and Co-Investigator, he has led funded projects worth ₹3.93 crores under ICSSR, BIRAC, and DST initiatives. His professional excellence has been recognized with multiple honors, including the Karnataka Vibhushan Rathna Award (2025), Karnataka Green Excellence Award (2025), and Bhisma Acharya Award (2024). A Certified Cyber Crime Intervention Officer, he is also an active member of IEEE, ISTE (Life Member), IEI (Fellow), and CSI, and serves as a reviewer and editorial board member for reputed journals such as IEEE, ASTESJ, JENRS, and ICMRD-IIT Madras.