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.

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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.