Designed as a self-teachingintroduction to the fundamental concepts of artificial intelligence, the book beginswith its history, the Turing test, and early applications. Later chapters coverthe basics of searching, game playing, and knowledge representation. Expertsystems and machine learning are co
Artificial Intelligence Basics: A Self-Teaching Introduction
โ Scribed by N. Gupta, R. Mangla
- Publisher
- Mercury Learning and Information
- Tongue
- English
- Leaves
- 203
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Designed as a self-teaching introduction to the fundamental concepts of artificial intelligence, the book begins with its history, the Turing test, and early applications. Later chapters cover the basics of searching, game playing, and knowledge representation. Expert systems and machine learning are covered in detail, followed by separate programming chapters on Prolog and Python. The concluding chapter on artificial intelligence machines and robotics is comprehensive with numerous modernapplications.
Features:
- Covers an introduction to concepts related to AI, including searching processes, knowledge representation, machine learning, expert systems, programming, and robotics
- Includes separate chapters on Prolog and Python to introduce basic programming techniques in AI
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