Knowledge Free And Learning Based Methods In Intelligent Game Playing
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Knowledge Free And Learning Based Methods In Intelligent Game Playing
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Author : Jacek Mandziuk
language : en
Publisher:
Release Date : 2010-10-25
Knowledge Free And Learning Based Methods In Intelligent Game Playing written by Jacek Mandziuk and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-25 with categories.
Knowledge Free And Learning Based Methods In Intelligent Game Playing
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Author : Jacek Mandziuk
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-01-27
Knowledge Free And Learning Based Methods In Intelligent Game Playing written by Jacek Mandziuk and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-01-27 with Computers categories.
The book is focused on the developments and prospective challenging problems in the area of mind game playing (i.e. playing games that require mental skills) using Computational Intelligence (CI) methods, mainly neural networks, genetic/evolutionary programming and reinforcement learning. The majority of discussed game playing ideas were selected based on their functional similarity to human game playing. These similarities include: learning from scratch, autonomous experience-based improvement and example-based learning. The above features determine the major distinction between CI and traditional AI methods relying mostly on using effective game tree search algorithms, carefully tuned hand-crafted evaluation functions or hardware-based brute-force methods. On the other hand, it should be noted that the aim of this book is by no means to underestimate the achievements of traditional AI methods in game playing domain. On the contrary, the accomplishments of AI approaches are undisputable and speak for themselves. The goal is rather to express my belief that other alternative ways of developing mind game playing machines are possible and urgently needed.
General Game Playing
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-07-04
General Game Playing written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-04 with Computers categories.
What Is General Game Playing 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.
Artificial Intelligence For Computer Games
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Author : Pedro Antonio González-Calero
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-03-01
Artificial Intelligence For Computer Games written by Pedro Antonio González-Calero and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-01 with Technology & Engineering categories.
The book presents some of the most relevant results from academia in the area of Artificial Intelligence for games. It emphasizes well theoretically supported work supported by developed prototypes, which should lead into integration of academic AI techniques into current electronic entertainment games. The book elaborates on the main results produced in Academia within the last 10 years regarding all aspects of Artificial Intelligence for games, including pathfinding, decision making, and learning. A general theme of the book is the coverage of techniques for facilitating the construction of flexible not prescripted AI for agents in games. Regarding pathfinding, the book includes new techniques for implementing real-time search methods that improve the results obtained through AI, as well as techniques for learning pathfinding behavior by observing actual players. Regarding decision making, the book describes new techniques for authoring tools that facilitate the construction by game designers (typically nonprogrammers) of behavior controlling software, by reusing patterns or actual cases of past behavior. Additionally, the book will cover a number of approaches proposed for extending the essentially pre-scripted nature of current commercial videogames AI into a more interactive form of narrative, where the story emerges from the interaction with the player. Some of those approaches rely on a layered architecture for the character AI, including beliefs, intentions and emotions, taking ideas from research on agent systems. The book also includes chapters on techniques for automatically or semiautomatically learning complex behavior from recorded traces of human or automatic players using different combinations of reinforcement learning, case-based reasoning, neural networks and genetic algorithms.
Artificial Intelligence And Games
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Author : Georgios N. Yannakakis
language : en
Publisher: Springer
Release Date : 2018-02-17
Artificial Intelligence And Games written by Georgios N. Yannakakis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-17 with Computers categories.
This is the first textbook dedicated to explaining how artificial intelligence (AI) techniques can be used in and for games. After introductory chapters that explain the background and key techniques in AI and games, the authors explain how to use AI to play games, to generate content for games and to model players. The book will be suitable for undergraduate and graduate courses in games, artificial intelligence, design, human-computer interaction, and computational intelligence, and also for self-study by industrial game developers and practitioners. The authors have developed a website (http://www.gameaibook.org) that complements the material covered in the book with up-to-date exercises, lecture slides and reading.
Artificial Intelligence Video Games
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-07-04
Artificial Intelligence Video Games written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-04 with Computers categories.
What Is Artificial Intelligence Video Games Artificial intelligence (AI) is used in video games to develop responsive, adaptive, or intelligent behaviors, primarily in non-player characters (NPCs), that are akin to the intellect of humans. Since the beginning of the video game industry in the 1950s, artificial intelligence has been an essential component of the medium. Artificial intelligence (AI) in video games is a discrete topic that is distinct from AI in academic settings. Rather than serving the purposes of machine learning or decision making, it is designed to enhance the experience of game players. The concept of artificial intelligence (AI) opponents became very popular during the golden age of arcade video games. This concept manifested itself in the form of graduated difficulty levels, distinct movement patterns, and in-game events that were reliant on the player's input. The behavior of non-player characters (NPCs) in modern games is frequently governed by tried-and-true methods such as pathfinding and decision trees. Data mining and procedural content production are two examples of AI applications that are frequently utilized in methods that are not immediately obvious to the user. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Artificial intelligence in video games Chapter 2: Artificial intelligence Chapter 3: List of artificial intelligence projects Chapter 4: Video game programmer Chapter 5: Interactive storytelling Chapter 6: Outline of video games Chapter 7: Outline of artificial intelligence Chapter 8: General game playing Chapter 9: Dynamic game difficulty balancing Chapter 10: Machine learning in video games (II) Answering the public top questions about artificial intelligence video games. (III) Real world examples for the usage of artificial intelligence video games in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of artificial intelligence video games' 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 artificial intelligence video games.
Computer Games
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Author : Tristan Cazenave
language : en
Publisher: Springer
Release Date : 2017-04-27
Computer Games written by Tristan Cazenave and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-27 with Computers categories.
This book constitutes the refereed proceedings of the 5th Computer Games Workshop, CGW 2016, and the 5th Workshop on General Intelligence in Game-Playing Agents, GIGA 2016, held in conjunction with the 25th International Conference on Artificial Intelligence, IJCAI 2016, in New York, USA, in July 2016.The 12 revised full papers presented were carefully reviewed and selected from 25 submissions. The papers address all aspects of artificial intelligence and computer game playing. They discuss topics such as Monte-Carlo methods; heuristic search; board games; card games; video games; perfect and imperfect information games; puzzles and single player games; multi-player games; combinatorial game theory; applications; computational creativity; computational game theory; evaluation and analysis; game design; knowledge representation; machine learning; multi-agent systems; opponent modeling; planning.
General Video Game Artificial Intelligence
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Author : Diego Pérez Liébana
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
General Video Game Artificial Intelligence written by Diego Pérez Liébana and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Mathematics categories.
Research on general video game playing aims at designing agents or content generators that can perform well in multiple video games, possibly without knowing the game in advance and with little to no specific domain knowledge. The general video game AI framework and competition propose a challenge in which researchers can test their favorite AI methods with a potentially infinite number of games created using the Video Game Description Language. The open-source framework has been used since 2014 for running a challenge. Competitors around the globe submit their best approaches that aim to generalize well across games. Additionally, the framework has been used in AI modules by many higher-education institutions as assignments, or as proposed projects for final year (undergraduate and Master's) students and Ph.D. candidates. The present book, written by the developers and organizers of the framework, presents the most interesting highlights of the research performed by the authors during these years in this domain. It showcases work on methods to play the games, generators of content, and video game optimization. It also outlines potential further work in an area that offers multiple research directions for the future.
Machines That Learn To Play Games
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Author : Johannes Fürnkranz
language : en
Publisher: Nova Publishers
Release Date : 2001
Machines That Learn To Play Games written by Johannes Fürnkranz and has been published by Nova Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computers categories.
The mind-set that has dominated the history of computer game playing relies on straightforward exploitation of the available computing power. The fact that a machine can explore millions of variations sooner than the sluggish human can wink an eye has inspired hopes that the mystery of intelligence can be cracked, or at least side-stepped, by sheer force. Decades of the steadily growing strength of computer programs have attested to the soundness of this approach. It is clear that deeper understanding can cut the amount of necessary calculations by orders of magnitude. The papers collected in this volume describe how to instill learning skills in game playing machines. The reader is asked to keep in mind that this is not just about games -- the possibility that the discussed techniques will be used in control systems and in decision support always looms in the background.
Learning To Play
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Author : Aske Plaat
language : en
Publisher: Springer Nature
Release Date : 2020-12-23
Learning To Play written by Aske Plaat and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-23 with Computers categories.
In this textbook the author takes as inspiration recent breakthroughs in game playing to explain how and why deep reinforcement learning works. In particular he shows why two-person games of tactics and strategy fascinate scientists, programmers, and game enthusiasts and unite them in a common goal: to create artificial intelligence (AI). After an introduction to the core concepts, environment, and communities of intelligence and games, the book is organized into chapters on reinforcement learning, heuristic planning, adaptive sampling, function approximation, and self-play. The author takes a hands-on approach throughout, with Python code examples and exercises that help the reader understand how AI learns to play. He also supports the main text with detailed pointers to online machine learning frameworks, technical details for AlphaGo, notes on how to play and program Go and chess, and a comprehensive bibliography. The content is class-tested and suitable for advanced undergraduate and graduate courses on artificial intelligence and games. It's also appropriate for self-study by professionals engaged with applications of machine learning and with games development. Finally it's valuable for any reader engaged with the philosophical implications of artificial and general intelligence, games represent a modern Turing test of the power and limitations of AI.