The concept of general game playing, sometimes known as GGP, refers to the development of artificial intelligence programs that are capable of competing well in more than one game. Computers are programmed to play many different games, such as chess, using an algorithm that is built specifically for that game and cannot be used in any other setting. For instance, a computer software that is designed to play chess cannot also play checkers. On the road to creating artificial general intelligence, generic game playing is seen as a necessary milestone.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: General game playing
Chapter 2: Artificial intelligence
Chapter 3: Machine learning
Chapter 4: Game Description Language
Chapter 5: List of programming languages for artificial intelligence
Chapter 6: Monte Carlo tree search
Chapter 7: Deep reinforcement learning
Chapter 8: Artificial intelligence in video games
Chapter 9: Machine learning in video games
Chapter 10: Google DeepMind
(II) Answering the public top questions about general game playing.
(III) Real world examples for the usage of general game playing in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of general game playing' 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 general game playing.