Artificial Intelligence For Games

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Artificial Intelligence for Games

Ian Millington,John Funge
Artificial Intelligence for Games Book PDF

Author : Ian Millington,John Funge
Publisher : CRC Press
Page : 898 pages
File Size : 49,9 Mb
Release : 2018-12-14
Category : Computers
ISBN : 9781315360577

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Artificial Intelligence for Games by Ian Millington,John Funge Pdf

Creating robust artificial intelligence is one of the greatest challenges for game developers, yet the commercial success of a game is often dependent upon the quality of the AI. In this book, Ian Millington brings extensive professional experience to the problem of improving the quality of AI in games. He describes numerous examples from real games and explores the underlying ideas through detailed case studies. He goes further to introduce many techniques little used by developers today. The book's associated web site contains a library of C++ source code and demonstration programs, and a complete commercial source code library of AI algorithms and techniques. "Artificial Intelligence for Games - 2nd edition" will be highly useful to academics teaching courses on game AI, in that it includes exercises with each chapter. It will also include new and expanded coverage of the following: AI-oriented gameplay; Behavior driven AI; Casual games (puzzle games). Key Features * The first comprehensive, professional tutorial and reference to implement true AI in games written by an engineer with extensive industry experience. * Walks through the entire development process from beginning to end. * Includes examples from over 100 real games, 10 in-depth case studies, and web site with sample code.

Artificial Intelligence and Games

Georgios N. Yannakakis,Julian Togelius
Artificial Intelligence and Games Book PDF

Author : Georgios N. Yannakakis,Julian Togelius
Publisher : Springer
Page : 337 pages
File Size : 44,7 Mb
Release : 2018-02-17
Category : Computers
ISBN : 9783319635194

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Artificial Intelligence and Games by Georgios N. Yannakakis,Julian Togelius Pdf

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.

AI for Games, Third Edition

Ian Millington
AI for Games Third Edition Book PDF

Author : Ian Millington
Publisher : CRC Press
Page : 1050 pages
File Size : 55,9 Mb
Release : 2019-03-18
Category : Art
ISBN : 9781351053280

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AI for Games, Third Edition by Ian Millington Pdf

AI is an integral part of every video game. This book helps professionals keep up with the constantly evolving technological advances in the fast growing game industry and equips students with up-to-date information they need to jumpstart their careers. This revised and updated Third Edition includes new techniques, algorithms, data structures and representations needed to create powerful AI in games. Key Features A comprehensive professional tutorial and reference to implement true AI in games Includes new exercises so readers can test their comprehension and understanding of the concepts and practices presented Revised and updated to cover new techniques and advances in AI Walks the reader through the entire game AI development process

AI for Games

Ian Millington
AI for Games Book PDF

Author : Ian Millington
Publisher : CRC Press
Page : 84 pages
File Size : 50,8 Mb
Release : 2021-11-16
Category : Computers
ISBN : 9781000475517

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AI for Games by Ian Millington Pdf

What is artificial intelligence? How is artificial intelligence used in game development? Game development lives in its own technical world. It has its own idioms, skills, and challenges. That’s one of the reasons games are so much fun to work on. Each game has its own rules, its own aesthetic, and its own trade-offs, and the hardware it will run on keeps changing. AI for Games is designed to help you understand one element of game development: artificial intelligence (AI).

Programming Game AI by Example

Mat Buckland
Programming Game AI by Example Book PDF

Author : Mat Buckland
Publisher : Jones & Bartlett Learning
Page : 522 pages
File Size : 40,7 Mb
Release : 2005
Category : Computers
ISBN : 1556220782

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Programming Game AI by Example by Mat Buckland Pdf

This book describes in detail many of the AI techniques used in modern computer games, explicity shows how to implement these practical techniques within the framework of several game developers with a practical foundation to game AI.

Playing Smart

Julian Togelius
Playing Smart Book PDF

Author : Julian Togelius
Publisher : MIT Press
Page : 188 pages
File Size : 52,7 Mb
Release : 2019-01-15
Category : Games & Activities
ISBN : 9780262039031

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Playing Smart by Julian Togelius Pdf

A new vision of the future of games and game design, enabled by AI. Can games measure intelligence? How will artificial intelligence inform games of the future? In Playing Smart, Julian Togelius explores the connections between games and intelligence to offer a new vision of future games and game design. Video games already depend on AI. We use games to test AI algorithms, challenge our thinking, and better understand both natural and artificial intelligence. In the future, Togelius argues, game designers will be able to create smarter games that make us smarter in turn, applying advanced AI to help design games. In this book, he tells us how. Games are the past, present, and future of artificial intelligence. In 1948, Alan Turing, one of the founding fathers of computer science and artificial intelligence, handwrote a program for chess. Today we have IBM's Deep Blue and DeepMind's AlphaGo, and huge efforts go into developing AI that can play such arcade games as Pac-Man. Programmers continue to use games to test and develop AI, creating new benchmarks for AI while also challenging human assumptions and cognitive abilities. Game design is at heart a cognitive science, Togelius reminds us—when we play or design a game, we plan, think spatially, make predictions, move, and assess ourselves and our performance. By studying how we play and design games, Togelius writes, we can better understand how humans and machines think. AI can do more for game design than providing a skillful opponent. We can harness it to build game-playing and game-designing AI agents, enabling a new generation of AI-augmented games. With AI, we can explore new frontiers in learning and play.

AI for Game Developers

David M Bourg,Glenn Seemann
AI for Game Developers Book PDF

Author : David M Bourg,Glenn Seemann
Publisher : "O'Reilly Media, Inc."
Page : 392 pages
File Size : 44,6 Mb
Release : 2004-07-23
Category : Computers
ISBN : 9781449333102

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AI for Game Developers by David M Bourg,Glenn Seemann Pdf

Written for the novice AI programmer, this text introduces the reader to techniques such as finite state machines, fuzzy logic, neural networks and many others in an easy-to-understand language, supported with code samples throughout the text.

Artificial Intelligence for Computer Games

John David Funge
Artificial Intelligence for Computer Games Book PDF

Author : John David Funge
Publisher : CRC Press
Page : 160 pages
File Size : 46,6 Mb
Release : 2004-07-29
Category : Computers
ISBN : 9781439864807

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Artificial Intelligence for Computer Games by John David Funge Pdf

Learn to make games that are more fun and engaging! Building on fundamental principles of Artificial Intelligence, Funge explains how to create Non-Player Characters (NPCs) with progressively more sophisticated capabilities. Starting with the basic capability of acting in the game world, the book explains how to develop NPCs who can perceive, remem

Artificial Intelligence for Computer Games

Pedro Antonio González-Calero,Marco Antonio Gómez-Martín
Artificial Intelligence for Computer Games Book PDF

Author : Pedro Antonio González-Calero,Marco Antonio Gómez-Martín
Publisher : Springer Science & Business Media
Page : 200 pages
File Size : 47,7 Mb
Release : 2011-03-01
Category : Technology & Engineering
ISBN : 9781441981882

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Artificial Intelligence for Computer Games by Pedro Antonio González-Calero,Marco Antonio Gómez-Martín Pdf

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.

General Video Game Artificial Intelligence

Diego Pérez Liébana,Simon M. Lucas,Raluca D. Gaina,Julian Togelius,Ahmed Khalifa,Jialin Liu
General Video Game Artificial Intelligence Book PDF

Author : Diego Pérez Liébana,Simon M. Lucas,Raluca D. Gaina,Julian Togelius,Ahmed Khalifa,Jialin Liu
Publisher : Springer Nature
Page : 177 pages
File Size : 49,7 Mb
Release : 2022-05-31
Category : Mathematics
ISBN : 9783031021220

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General Video Game Artificial Intelligence by Diego Pérez Liébana,Simon M. Lucas,Raluca D. Gaina,Julian Togelius,Ahmed Khalifa,Jialin Liu Pdf

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.

Biologically Inspired Artificial Intelligence for Computer Games

Charles, Darryl,Fyfe, Colin,Livingstone, Daniel,McGlinchey, Stephen
Biologically Inspired Artificial Intelligence for Computer Games Book PDF

Author : Charles, Darryl,Fyfe, Colin,Livingstone, Daniel,McGlinchey, Stephen
Publisher : IGI Global
Page : 278 pages
File Size : 41,8 Mb
Release : 2007-11-30
Category : Computers
ISBN : 9781591406488

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Biologically Inspired Artificial Intelligence for Computer Games by Charles, Darryl,Fyfe, Colin,Livingstone, Daniel,McGlinchey, Stephen Pdf

"This book examines modern artificial intelligence to display how it may be applied to computer games. It spans the divide that exists between the academic research community working with advanced artificial intelligence and the games programming community which must create and release new and interesting games, creating an invaluable collection supporting both technological research and the gaming industry"--Provided by publisher.

Learning to Play

Aske Plaat
Learning to Play Book PDF

Author : Aske Plaat
Publisher : Springer Nature
Page : 330 pages
File Size : 47,6 Mb
Release : 2020-12-23
Category : Computers
ISBN : 9783030592387

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Learning to Play by Aske Plaat Pdf

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.

AI and Artificial Life in Video Games

Guy W. Lecky-Thompson
AI and Artificial Life in Video Games Book PDF

Author : Guy W. Lecky-Thompson
Publisher : Charles River Media
Page : 360 pages
File Size : 53,6 Mb
Release : 2008
Category : Computers
ISBN : UCSD:31822034629592

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AI and Artificial Life in Video Games by Guy W. Lecky-Thompson Pdf

"Course technology Cengage learning"--Cover.

Deep Learning and the Game of Go

Kevin Ferguson,Max Pumperla
Deep Learning and the Game of Go Book PDF

Author : Kevin Ferguson,Max Pumperla
Publisher : Simon and Schuster
Page : 611 pages
File Size : 50,9 Mb
Release : 2019-01-06
Category : Computers
ISBN : 9781638354017

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Deep Learning and the Game of Go by Kevin Ferguson,Max Pumperla Pdf

Summary Deep Learning and the Game of Go teaches you how to apply the power of deep learning to complex reasoning tasks by building a Go-playing AI. After exposing you to the foundations of machine and deep learning, you'll use Python to build a bot and then teach it the rules of the game. Foreword by Thore Graepel, DeepMind Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology The ancient strategy game of Go is an incredible case study for AI. In 2016, a deep learning-based system shocked the Go world by defeating a world champion. Shortly after that, the upgraded AlphaGo Zero crushed the original bot by using deep reinforcement learning to master the game. Now, you can learn those same deep learning techniques by building your own Go bot! About the Book Deep Learning and the Game of Go introduces deep learning by teaching you to build a Go-winning bot. As you progress, you'll apply increasingly complex training techniques and strategies using the Python deep learning library Keras. You'll enjoy watching your bot master the game of Go, and along the way, you'll discover how to apply your new deep learning skills to a wide range of other scenarios! What's inside Build and teach a self-improving game AI Enhance classical game AI systems with deep learning Implement neural networks for deep learning About the Reader All you need are basic Python skills and high school-level math. No deep learning experience required. About the Author Max Pumperla and Kevin Ferguson are experienced deep learning specialists skilled in distributed systems and data science. Together, Max and Kevin built the open source bot BetaGo. Table of Contents PART 1 - FOUNDATIONS Toward deep learning: a machine-learning introduction Go as a machine-learning problem Implementing your first Go bot PART 2 - MACHINE LEARNING AND GAME AI Playing games with tree search Getting started with neural networks Designing a neural network for Go data Learning from data: a deep-learning bot Deploying bots in the wild Learning by practice: reinforcement learning Reinforcement learning with policy gradients Reinforcement learning with value methods Reinforcement learning with actor-critic methods PART 3 - GREATER THAN THE SUM OF ITS PARTS AlphaGo: Bringing it all together AlphaGo Zero: Integrating tree search with reinforcement learning

Practical Game AI Programming

Micael DaGraca
Practical Game AI Programming Book PDF

Author : Micael DaGraca
Publisher : Packt Publishing Ltd
Page : 341 pages
File Size : 53,7 Mb
Release : 2017-06-30
Category : Computers
ISBN : 9781787129467

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Practical Game AI Programming by Micael DaGraca Pdf

Jump into the world of Game AI development About This Book Move beyond using libraries to create smart game AI, and create your own AI projects from scratch Implement the latest algorithms for AI development and in-game interaction Customize your existing game AI and make it better and more efficient to improve your overall game performance Who This Book Is For This book is for game developers with a basic knowledge of game development techniques and some basic programming techniques in C# or C++. What You Will Learn Get to know the basics of how to create different AI for different type of games Know what to do when something interferes with the AI choices and how the AI should behave if that happens Plan the interaction between the AI character and the environment using Smart Zones or Triggering Events Use animations correctly, blending one animation into another and rather than stopping one animation and starting another Calculate the best options for the AI to move using Pruning Strategies, Wall Distances, Map Preprocess Implementation, and Forced Neighbours Create Theta algorithms to the AI to find short and realistic looking paths Add many characters into the same scene and make them behave like a realistic crowd In Detail The book starts with the basics examples of AI for different game genres and directly jumps into defining the probabilities and possibilities of the AI character to determine character movement. Next, you'll learn how AI characters should behave within the environment created. Moving on, you'll explore how to work with animations. You'll also plan and create pruning strategies, and create Theta algorithms to find short and realistic looking game paths. Next, you'll learn how the AI should behave when there is a lot of characters in the same scene. You'll explore which methods and algorithms, such as possibility maps, Forward Chaining Plan, Rete Algorithm, Pruning Strategies, Wall Distances, and Map Preprocess Implementation should be used on different occasions. You'll discover how to overcome some limitations, and how to deliver a better experience to the player. By the end of the book, you think differently about AI. Style and approach The book has a step-by-step tutorial style approach. The algorithms are explained by implementing them in #.