5th Sem BE Artificial Intelligence (CSE) | Anamitra Deshmukh-Nimbalkar | 2027 Edition | Technical

Master the foundational algorithms, intelligent agent architectures, state-space search strategies, and knowledge representation models driving the AI revolution! 🤖🧠 Authored by renowned computer engineering scholar Dr. Anamitra Deshmukh-Nimbalkar and published by Technical Publications, the 5th Sem BE Artificial Intelligence (2027 Edition) is engineered strictly to meet the latest curriculum of Gujarat Technological University (GTU) and premier engineering universities across India. 🚀

✨ Key Features & Highlights:

• Strictly GTU Syllabus Aligned: Comprehensive unit-by-unit syllabus coverage mapped with the official teaching and examination scheme for 5th Semester BE Computer Engineering and IT. 🎓

• Intelligent Agents & Problem Formulations: Deep dive into agent architectures, PEAS (Performance measure, Environment, Actuators, Sensors) descriptors, environment types, and state-space search formulations. 🧩

• Uninformed & Heuristic Search Strategies: Detailed algorithmic breakdowns, time/space complexities, and flowcharts for Breadth-First Search (BFS), Depth-First Search (DFS), Depth-Limited Search, Iterative Deepening (IDS), Uniform Cost Search, Greedy Best-First Search, and A* Search algorithms. 🔍⚡

• Adversarial Search & Game Playing: Mathematical foundations of Minimax algorithm, Alpha-Beta Pruning evaluation functions, and real-time game playing heuristics (Chess, Tic-Tac-Toe). ♟️

• Knowledge Representation & Classical Logic: Rigorous analysis of Propositional Logic, First-Order Predicate Logic (FOPL), Inference Mechanisms, Forward & Backward Chaining, Unification, and Resolution Refutation. 📜💡

• Handling Uncertainty & Probabilistic Reasoning: Comprehensive coverage of Bayesian Networks, Conditional Probability, Bayes' Rule, Dempster-Shafer Theory, and Fuzzy Logic systems. 📊

• Planning & Expert Systems: Practical breakdowns of classical planning, Partial Order Planning, GraphPlan, and rule-based Expert System architectures with inference engines. 🛠️

• Step-by-Step Algorithmic Traces & GTU PYQs: Packed with fully worked-out search tree traces, truth tables, logic conversion proofs, and previous GTU examination questions with structured model answers. ✍️

• Updated 2027 Edition: Incorporates modern AI paradigms, real-world case studies, and preparatory foundational pointers for Machine Learning and Deep Learning. 📈

🌟 Secure Top Grades & SPI in GTU 5th Sem CSE! Surat me books bole to lucky book store! 📚✨ Build strong algorithmic mastery in artificial intelligence for your university exams, GATE, and campus placements. Secure your copy online today at eluckybookstore.com or pick it up directly from our retail store in Surat, Gujarat!