Means Ends Analysis: Fundamentals and Applications

· Artificial Intelligence Libro 125 · One Billion Knowledgeable
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Informazioni su questo ebook

What Is Means Ends Analysis

Means-ends analysis, more often known as MEA, is a method for solving problems that is widely used in artificial intelligence (AI) for the purpose of limiting search in AI programs.


How You Will Benefit


(I) Insights, and validations about the following topics:


Chapter 1: Means-Ends Analysis


Chapter 2: Causal Layered Analysis


Chapter 3: Knowledge Representation and Reasoning


Chapter 4: Automated Reasoning


Chapter 5: Intelligent Control


Chapter 6: Cognitive Load


Chapter 7: Mathematical Proof


Chapter 8: Polytely


Chapter 9: Gap Analysis


Chapter 10: Hill Climbing


(II) Answering the public top questions about means ends analysis.


(III) Real world examples for the usage of means ends analysis in many fields.


Who This Book Is For


Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of means ends analysis.


What is Artificial Intelligence Series


The artificial intelligence book series provides comprehensive coverage in over 200 topics. Each ebook covers a specific Artificial Intelligence topic in depth, written by experts in the field. The series aims to give readers a thorough understanding of the concepts, techniques, history and applications of artificial intelligence. Topics covered include machine learning, deep learning, neural networks, computer vision, natural language processing, robotics, ethics and more. The ebooks are written for professionals, students, and anyone interested in learning about the latest developments in this rapidly advancing field.
The artificial intelligence book series provides an in-depth yet accessible exploration, from the fundamental concepts to the state-of-the-art research. With over 200 volumes, readers gain a thorough grounding in all aspects of Artificial Intelligence. The ebooks are designed to build knowledge systematically, with later volumes building on the foundations laid by earlier ones. This comprehensive series is an indispensable resource for anyone seeking to develop expertise in artificial intelligence.

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