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What Is State Space Search
State space search is a technique that is employed in the field of computer science, particularly artificial intelligence (AI), in which consecutive configurations or states of an instance are explored, with the objective of finding a goal state with the desired feature. The term "state space search" comes from the phrase "state space," which refers to the space in which the process takes place.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: State Space Search
Chapter 2: Brute-Force Search
Chapter 3: Heuristic in Computer Science
Chapter 4: Local Search Optimization
Chapter 5: Game Tree
Chapter 6: Constraint Satisfaction Problem
Chapter 7: Adversarial Search
Chapter 8: Markov Decision Process
Chapter 9: Reinforcement Learning
Chapter 10: Combinatorial search
(II) Answering the public top questions about state space search.
(III) Real world examples for the usage of state space search in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of state space search' technologies.
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 state space search.
State space search is a technique that is employed in the field of computer science, particularly artificial intelligence (AI), in which consecutive configurations or states of an instance are explored, with the objective of finding a goal state with the desired feature. The term "state space search" comes from the phrase "state space," which refers to the space in which the process takes place.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: State Space Search
Chapter 2: Brute-Force Search
Chapter 3: Heuristic in Computer Science
Chapter 4: Local Search Optimization
Chapter 5: Game Tree
Chapter 6: Constraint Satisfaction Problem
Chapter 7: Adversarial Search
Chapter 8: Markov Decision Process
Chapter 9: Reinforcement Learning
Chapter 10: Combinatorial search
(II) Answering the public top questions about state space search.
(III) Real world examples for the usage of state space search in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of state space search' technologies.
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 state space search.