State Space Search: Fundamentals and Applications

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.