Intelligent Systems for Engineers and Scientists: A Practical Guide to Artificial Intelligence

The fourth edition of this bestselling textbook provides a solid grounding in artificial intelligence (AI) techniques, covering knowledge-based intelligence, computational intelligence, and practical systems. It includes examples and programming languages and describes practical applications in interpretation and diagnosis, design and selection, planning, and control.

Format: Paperback / softback
Length: 490 pages
Publication date: 01 December 2021
Publisher: Taylor & Francis Ltd

The fourth edition of this bestselling textbook delves into the realm of artificial intelligence (AI) and its diverse practical applications. Employing a clear and concise language, it offers a comprehensive foundation across the entire spectrum of AI techniques, enabling readers to implement systems tailored to their specific interests. The coverage spans knowledge-based intelligence, computational intelligence (including machine learning), and practical systems that harness a combination of these approaches. Each fundamental technique of AI is thoroughly explained, encompassing rule-based systems, Bayesian updating, certainty theory, fuzzy logic (types 1 and 2), agents, objects, frames, symbolic learning, case-based reasoning, genetic algorithms, and other optimization techniques. Additionally, the book explores shallow and deep neural networks, hybrids, and the programming languages Lisp, Prolog, and Python, which are essential tools in the AI landscape.

Furthermore, the book showcases a wide array of practical applications in fields such as interpretation and diagnosis, design and selection, planning, and control. To ensure its currency and relevance, Intelligent Systems for Engineers and Scientists: A Practical Guide to Artificial Intelligence, Fourth Edition has undergone a thorough update and revision process. This edition introduces a new chapter dedicated to deep neural networks, reflecting the significant growth of machine learning as a pivotal technique in AI. Moreover, a dedicated section has been included to showcase the growing prominence of Python, which has emerged as the de facto standard programming language for numerous aspects of AI.

To enhance the learning experience, the book incorporates rule-based and uncertainty-based examples that are compatible with the Flex toolkit by Logic Programming Associates (LPA). This commercial software, along with numerous other valuable resources, can be accessed freely by readers through the author's website: adrianhopgood.com. Whether you are embarking on the development of your own intelligent systems or seeking to gain a deeper understanding of AI, this comprehensive textbook serves as an invaluable guide.

Weight: 772g
Dimension: 233 x 411 x 36 (mm)
ISBN-13: 9781032126760
Edition number: 4 New edition