Means Ends Analysis: Fundamentals and Applications
เช เช-เชชเซเชธเซเชคเช เชตเชฟเชถเซ
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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