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This document contains the complete notes for Units 1–4 of CORE–13 Artificial Intelligence, prepared by Manas Ku Mishra, Assistant Professor of Computer Science at FM (A) College. Together, these notes provide a comprehensive overview of AI fundamentals, making them highly valuable for exam preparation and conceptual understanding.

Complete Core-13 Artificial Intelligence Unit 4 notes on Dealing with Uncertainty, Reasoning, and Natural Language Processing (NLP). Ideal for Computer Science students preparing for exams, projects, or quick revision. Covers: Causes of uncertainty & Truth Maintenance Systems (TMS) Types of reasoning: deductive, inductive, abductive, monotonic & non-monotonic Probabilistic reasoning, Bayes’ theorem & Bayesian inference Basics of Natural Language Processing (NLP): NLU vs NLG A...

Complete Core-13 Artificial Intelligence Unit 3 notes focused on Knowledge Representation & Reasoning. Perfect for Computer Science exam prep and quick revision. Covers: Types of knowledge: declarative, procedural, heuristic, meta, structural Propositional & First-Order Predicate Logic (FOL) Quantifiers, inference rules & resolution principle Unification process with examples Semantic networks, frames, scripts & production rules Clear explanations with examples — ideal ...

This document provides a detailed lecture summary on Artificial Intelligence, specifically focusing on Unit 2: Problem Solving and Searching Techniques. It covers search algorithm terminologies, properties of search algorithms, production systems, and control strategies. The material explains uninformed and informed search methods, including BFS, DFS, A*, heuristic techniques, hill climbing variations, and constraint satisfaction problems (CSP). It also explores game-playing strategies such as t...

This document provides a complete summary of Unit 1 of CORE–13 Artificial Intelligence, prepared by Manas Ku Mishra, Assistant Professor of Computer Science at FM (A) College. It covers the introduction to AI, types of AI (based on capabilities and functionality), components of AI, applications across industries, the Turing Test, rational agents, intelligent agents, PEAS representation, types of AI agents, and properties of environments. The notes include clear explanations and structured exam...