Principles of Artificial Intelligence

A Structured Foundation in Artificial Intelligence

Principles of Artificial Intelligence is an introductory textbook written for students who are encountering AI as a formal subject for the first time. Sathish S. Nadig presents the field as a connected set of ideas rather than a collection of isolated definitions, moving from the history and foundations of AI into the methods that allow machines to solve problems, reason, plan, and represent knowledge.

Inside the Book

The seven chapters follow a clear teaching sequence:

• Introduction to artificial intelligence, intelligent systems, AI foundations, subareas, applications, and development languages
• Problem solving, production systems, state-space search, control strategies, uninformed search, and heuristic search including hill climbing, best-first search, and A*
• Problem reduction and game playing, with game trees, MINIMAX, alpha-beta pruning, and perfect-information games
• Logic concepts, including propositional calculus, truth tables, natural deduction, semantic tableaux, axiomatic systems, resolution refutation, predicate logic, quantifiers, and Skolem functions
• Planning paradigms such as operator-based planning, blocks-world problems, goal-stack planning with STRIPS, means-end analysis, and nonlinear planning
• Knowledge representation through semantic networks, clausal form, inference methods, and frame systems
• Expert systems, including development phases, architecture, knowledge bases, inference engines, and advantages and disadvantages

Concepts Explained with Figures and Examples

The preface notes that the book uses figures and examples to make the material understandable, and that no prior AI knowledge is assumed. This makes the text usable for an introductory course in artificial intelligence or intelligent system design, where students need both a broad map of the field and enough detail to work through foundational algorithms and formal methods.

Review Questions and Exercises

Each chapter ends with questions or exercises, giving readers a way to check their understanding and practise applying the concepts. The book closes with references and an index, supporting further reading and quick revision.

Who Will Find It Useful

This ebook is aimed at students in technical universities and readers who want a structured, classroom-oriented introduction to AI. It is particularly relevant for learners beginning an AI or intelligent systems module, and for anyone who needs a readable overview of problem solving, logic, planning, knowledge representation, and expert systems before moving on to more advanced material.