Practical Game Ai Programming

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Practical Game AI Programming

Author : Micael DaGraca
Publisher : Packt Publishing Ltd
Page : 341 pages
File Size : 50,9 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 #.

Practical Game AI Programming

Author : Micael DaGraca
Publisher : Unknown
Page : 376 pages
File Size : 42,9 Mb
Release : 2017-05-31
Category : Electronic
ISBN : 1787122816

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Practical Game AI Programming by Micael DaGraca Pdf

Create game AI and implement cutting edge AI algorithms from scratchAbout This Book* Move beyond using libraries for creating smart game AIs, create your own AI projects from scratch.* Implement latest algorithms for AI development and in-game interaction* Customize your existing game AIs and make them better and efficient and improve your overall game performance.Who This Book Is ForThe ideal target audience of this book will be game developers with a basic knowledge of game development techniques. They should know some basic programming techniques in wither C# or C++.What you will learn* Explore the vast game genres that exist* Get to know the basics of how to create different AI for different type of games* Discover the probabilities and possibilities of the AI character to determine moves taking in consideration the state of the player* Know what to do when something interferes with the AI choices and how the AI will 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 NeighboursIn DetailA smart and diverse game AI is considered to be one of the main pillars of a successful game. This book will help you to get inside game AI programming, implement latest cutting edge algorithms with C#, and finally help you create effective and interesting AI for your game projects.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 do determine character movement. Next, you'll learn how AI character should behave within the environment created.Moving on, you'll explore how to work with the 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 having a lot of characters in the same scene.You'll explore what 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, how to overcome some limitations, and how to deliver a better experience to the player. By the end of the book, you would be able to think differently about AI.

Programming Game AI by Example

Author : Mat Buckland
Publisher : Jones & Bartlett Learning
Page : 522 pages
File Size : 46,6 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.

Game AI Pro 2

Author : Steven Rabin
Publisher : CRC Press
Page : 577 pages
File Size : 46,9 Mb
Release : 2015-04-17
Category : Computers
ISBN : 9781482254808

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Game AI Pro 2 by Steven Rabin Pdf

Game AI Pro2: Collected Wisdom of Game AI Professionals presents cutting-edge tips, tricks, and techniques for artificial intelligence (AI) in games, drawn from developers of shipped commercial games as well as some of the best-known academics in the field. It contains knowledge, advice, hard-earned wisdom, and insights gathered from across the community of developers and researchers who have devoted themselves to game AI. In this book, 47 expert developers and researchers have come together to bring you their newest advances in game AI, along with twists on proven techniques that have shipped in some of the most successful commercial games of the last few years. The book provides a toolbox of proven techniques that can be applied to many common and not-so-common situations. It is written to be accessible to a broad range of readers. Beginners will find good general coverage of game AI techniques and a number of comprehensive overviews, while intermediate to expert professional game developers will find focused, deeply technical chapters on specific topics of interest to them. Covers a wide range of AI in games, with topics applicable to almost any game Touches on most, if not all, of the topics necessary to get started in game AI Provides real-life case studies of game AI in published commercial games Gives in-depth, technical solutions from some of the industry’s best-known games Includes downloadable demos and/or source code, available at http://www.gameaipro.com

Unity AI Game Programming

Author : Ray Barrera,Aung Sithu Kyaw,Clifford Peters
Publisher : Unknown
Page : 0 pages
File Size : 50,5 Mb
Release : 2015
Category : Artificial intelligence
ISBN : 178528827X

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Unity AI Game Programming by Ray Barrera,Aung Sithu Kyaw,Clifford Peters Pdf

Leverage the power of Unity 5 to create fun and unbelievable AI entities in your games!About This Book- Compose richer games by learning the essential concepts in artificial intelligence with exciting examples- Explore the brand new Unity 5 features that make implementing artificial intelligence in your game easier than ever- Using this practical guide become a competent Unity 3D developer by learning AI techniques, methods and the applicability of AIWho This Book Is ForThis book is intended for Unity developers with a basic understanding of C# and the Unity editor. Whether you're looking to build your first game or are looking to expand your knowledge as a game programmer, you will find plenty of exciting information and examples of game AI in terms of concepts and implementation. It does not require any prior technical knowledge of how game AI works.What You Will Learn- Understand the basic terminology and concepts in game AI- Implement a basic finite state machine using state machine behaviors in Unity 5- Create sensory systems for your AI with the most commonly used techniques- Implement an industry-standard path-finding system and a navigation mesh with the Unity 5 NavMesh feature- Build believable and highly-efficient artificial flocks and crowds- Create a basic behavior tree to drive a character's actions- Make your characters more engaging by implementing fuzzy logic concepts in your AI's decision-making- Tie all the concepts together with examples and guidesIn DetailUnity 5 provides game and app developers with a variety of tools to implement artificial intelligence. Leveraging these tools via Unity's API or built-in features allows limitless possibilities when it comes to creating your game's worlds and characters. Whether you are developing traditional, serious, educational, or any other kind of game, understanding how to apply artificial intelligence can take the fun-factor to the next level!This book helps you break down artificial intelligence into simple concepts to give the reader a fundamental understanding of the topic to build upon. Using a variety of examples, the book then takes those concepts and walks you through actual implementations designed to highlight key concepts, and features related to game AI in Unity 5. Along the way, several tips and tricks are included to make the development of your own AI easier and more efficient.Starting from covering the basic essential concepts to form a base for the later chapters in the book, you will learn to distinguish the state machine pattern along with implementing your own. This will be followed by learning how to implement a basic sensory system for your AI agent and coupling it with a finite state machine (FSM). Next you will be taught how to use Unity's built-in NavMesh feature and implement your own A* pathfinding system. Then you will learn how to implement simple flocks and crowd's dynamics, the key AI concepts. Then moving on you will learn how a behavior tree works and its implementation. Next you will learn adding layer of realism by combining fuzzy logic concepts with state machines. Lastly, you learn applying all the concepts in the book by combining them in a simple tank game.Style and approachAn easy-to-follow guide that is full of example implementations of the concepts and is accompanied by easy-to-understand demonstrations and explanations of the code and concepts.

Artificial Intelligence for Games

Author : Ian Millington,John Funge
Publisher : CRC Press
Page : 898 pages
File Size : 41,7 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.

Unreal Engine 4 AI Programming Essentials

Author : Peter L. Newton,Jie Feng
Publisher : Packt Publishing Ltd
Page : 188 pages
File Size : 45,6 Mb
Release : 2016-03-18
Category : Computers
ISBN : 9781784396558

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Unreal Engine 4 AI Programming Essentials by Peter L. Newton,Jie Feng Pdf

Create responsive and intelligent game AI using Blueprints in Unreal Engine 4 About This Book Understand and apply your Game AI better through various projects such as adding randomness and probability, and introducing movement Configure and debug Game AI logic using multiple methodologies Bridge the gap between your knowledge and Game AI in Unreal Engine 4 Who This Book Is For This book is for programmers and artists who want to expand their knowledge of Game AI in relation to Unreal Engine 4. You are recommended to have some experience of exploring Unreal Engine 4 prior to this book because we jump straight into Game AI. What You Will Learn Understand the fundamental components of Game AI within Unreal Engine 4 Skillfully introduce Game AI within Unreal Engine 4 Configure, customize, and assign Navigation and AI components to your pawn Create, debug, and analyze Game AI behavior Design responsive Game AI using the Behavior Tree methodology Create smart objects designed to interact with AI Utilize advanced AI features within your project to maximize the user experience In Detail Unreal Engine is a powerful game development engine that provides rich functionalities to create 2D and 3D games. Developers have the opportunity to build cross-platform mobile and desktop games from scratch. This book will show you how to apply artificial intelligence (AI) techniques to your Unreal project using blueprints as your scripting language. You will start with an introduction to AI, and learn how it is applied to gaming. Then you'll jump right in and create a simple AI bot and apply basic behaviors to allow it to move randomly. As you progress, you'll find out how to implement randomness and probability traits. Using NavMesh, you will impart navigation components such as character movement, MoveTo nodes, settings, and world objects, and implement Behavior Trees. At the end of the book, you will troubleshoot any issues that might crop up while building the game. Style and approach This easy-to-follow project-based guide throws you directly into the excitement of Game AI in an approachable and comprehensive manner.

AI for Game Developers

Author : David M Bourg,Glenn Seemann
Publisher : "O'Reilly Media, Inc."
Page : 392 pages
File Size : 44,9 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.

AI Game Development

Author : Alex J. Champandard
Publisher : New Riders
Page : 772 pages
File Size : 41,9 Mb
Release : 2003
Category : Computers
ISBN : 1592730043

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AI Game Development by Alex J. Champandard Pdf

With game players expecting greater intelligence, efficiency, and realism with non-player characters, AI plays an ever-increasing important role in game development. This is a tremendous challenge for game developers in methodology, software design, and programming. Creating autonomous synthetic creatures that can adapt in games requires a different kind of understanding of AI than the classical approach used by current game programmers. The Nouvelle Game AI approach presented in this book focuses on creating embodied "animats" that behave in an intelligent and realistic manner. In particular, learning AI is generating much interest among the game development community, as these modern techniques can be used to optimize the development process. Book jacket.

Unity 5.x Game AI Programming Cookbook

Author : Jorge Palacios
Publisher : Packt Publishing Ltd
Page : 278 pages
File Size : 55,8 Mb
Release : 2016-03-31
Category : Computers
ISBN : 9781783553587

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Unity 5.x Game AI Programming Cookbook by Jorge Palacios Pdf

Build and customize a wide range of powerful Unity AI systems with over 70 hands-on recipes and techniques About This Book Empower your agent with decision making capabilities using advanced minimaxing and Negamaxing techniques Discover how AI can be applied to a wide range of games to make them more interactive. Instigate vision and hearing abilities in your agent through collider based and graph based systems Who This Book Is For This book is intended for those who already have a basic knowledge of Unity and are eager to get more tools under their belt to solve AI and gameplay-related problems. What You Will Learn Use techniques such as A*and A*mbush to empower your agents with path finding capabilities. Create a representation of the world and make agents navigate it Construct decision-making systems to make the agents take different actions Make different agents coordinate actions and create the illusion of technical behavior Simulate senses and apply them in an awareness system Design and implement AI in board games such as Tic-Tac-Toe and Checkers Implement efficient prediction mechanism in your agents with algorithms such as N-Gram predictor and naive Bayes classifier Understand and analyze how the influence maps work. In Detail Unity 5 comes fully packaged with a toolbox of powerful features to help game and app developers create and implement powerful game AI. Leveraging these tools via Unity's API or built-in features allows limitless possibilities when it comes to creating your game's worlds and characters. This practical Cookbook covers both essential and niche techniques to help you be able to do that and more. This Cookbook is engineered as your one-stop reference to take your game AI programming to the next level. Get to grips with the essential building blocks of working with an agent, programming movement and navigation in a game environment, and improving your agent's decision making and coordination mechanisms - all through hands-on examples using easily customizable techniques. Discover how to emulate vision and hearing capabilities for your agent, for natural and humanlike AI behaviour, and improve them with the help of graphs. Empower your AI with decision-making functions through programming simple board games such as Tic-Tac-Toe and Checkers, and orchestrate agent coordination to get your AIs working together as one. Style and approach This recipe-based guide will take you through implementing various AI algorithms. Each topic is explained and placed among other related techniques, sometimes building on the knowledge from previous chapters. There are also references to more technical books and papers, so you can dig deeper if you want to.

Deep Learning for Coders with fastai and PyTorch

Author : Jeremy Howard,Sylvain Gugger
Publisher : O'Reilly Media
Page : 624 pages
File Size : 54,5 Mb
Release : 2020-06-29
Category : Computers
ISBN : 9781492045496

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Deep Learning for Coders with fastai and PyTorch by Jeremy Howard,Sylvain Gugger Pdf

Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala

Practical Artificial Intelligence

Author : Arnaldo Pérez Castaño
Publisher : Apress
Page : 701 pages
File Size : 51,9 Mb
Release : 2018-05-23
Category : Computers
ISBN : 9781484233573

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Practical Artificial Intelligence by Arnaldo Pérez Castaño Pdf

Discover how all levels Artificial Intelligence (AI) can be present in the most unimaginable scenarios of ordinary lives. This book explores subjects such as neural networks, agents, multi agent systems, supervised learning, and unsupervised learning. These and other topics will be addressed with real world examples, so you can learn fundamental concepts with AI solutions and apply them to your own projects. People tend to talk about AI as something mystical and unrelated to their ordinary life. Practical Artificial Intelligence provides simple explanations and hands on instructions. Rather than focusing on theory and overly scientific language, this book will enable practitioners of all levels to not only learn about AI but implement its practical uses. What You’ll Learn Understand agents and multi agents and how they are incorporated Relate machine learning to real-world problems and see what it means to you Apply supervised and unsupervised learning techniques and methods in the real world Implement reinforcement learning, game programming, simulation, and neural networks Who This Book Is For Computer science students, professionals, and hobbyists interested in AI and its applications.

Learning Game AI Programming with Lua

Author : David Young
Publisher : Packt Publishing Ltd
Page : 352 pages
File Size : 50,8 Mb
Release : 2014-11-28
Category : Computers
ISBN : 9781783281343

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Learning Game AI Programming with Lua by David Young Pdf

If you are a game developer or a general programmer who wishes to focus on programming systems and techniques to build your game AI without creating low-level interfaces in a game engine, then this book is for you. Knowledge of C++ will come in handy to debug the entirety of the AI sandbox and expand on the features present within the book, but it is not required.

Paradigms of Artificial Intelligence Programming

Author : Peter Norvig
Publisher : Morgan Kaufmann
Page : 946 pages
File Size : 54,5 Mb
Release : 2014-06-28
Category : Computers
ISBN : 9780080571157

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Paradigms of Artificial Intelligence Programming by Peter Norvig Pdf

Paradigms of AI Programming is the first text to teach advanced Common Lisp techniques in the context of building major AI systems. By reconstructing authentic, complex AI programs using state-of-the-art Common Lisp, the book teaches students and professionals how to build and debug robust practical programs, while demonstrating superior programming style and important AI concepts. The author strongly emphasizes the practical performance issues involved in writing real working programs of significant size. Chapters on troubleshooting and efficiency are included, along with a discussion of the fundamentals of object-oriented programming and a description of the main CLOS functions. This volume is an excellent text for a course on AI programming, a useful supplement for general AI courses and an indispensable reference for the professional programmer.

Beginning Game AI with Unity

Author : Sebastiano M. Cossu
Publisher : Apress
Page : 143 pages
File Size : 47,7 Mb
Release : 2020-12-06
Category : Computers
ISBN : 1484263545

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Beginning Game AI with Unity by Sebastiano M. Cossu Pdf

Game developers will use this book to gain a basic knowledge of programming artificial intelligence using Unity and C#. You will not be bored learning the theory underpinning AI. Instead, you will learn by experience and practice, and complete an engaging project in each chapter. AI is the one of the most popular subjects in gaming today, ranging from controlling the behavior of non-player characters to procedural generated levels. This book starts with an introduction to AI and its use in games. Basic moving behaviors and pathfinding are covered, and then you move through more complex concepts of pathfinding and decision making. What You Will Learn Understand the fundamentals of AI Create gameplay-based AI to address navigation and decision-making problems Put into practice graph theory and behavior models Address pathfinding problems Use the A* algorithm, the deus ex machina of pathfinding algorithms Create a mini stealth game Who This Book Is For Developers and programming enthusiasts with a basic knowledge of Unity and C# who want to understand and master the foundations of artificial intelligence in games