18 books like Artificial intelligence for games

What to read after Artificial intelligence for games — books similar to it, matched on shared themes.

AI for Games, Third Edition Ian Millington · 2019 · 1010p · ≈ 33h · Moderate 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… Shares: Computer animation, Programmation, Programming, Computer games

Game Ai Pro 360 Steve Rabin · 2019 · 150p · ≈ 5h · Moderate Steve Rabin’s Game AI Pro 360: Guide to Architecture gathers all the cutting-edge information from his previous three Game AI Pro volumes into a convenient single source anthology covering game AI architecture. This volume is complete with articles by leading game AI programmers that further explore modern architecture such as behavior trees and share architectures used in top games such as Final… Shares: Computer animation, Programmation, Programming, Computer games

Game Programming Patterns Robert Nystrom · 2011 · ★ 4.5 · 327p · ≈ 10h · Moderate From the author: "Game Programming Patterns is a collection of patterns I found in games that make code cleaner, easier to understand, and faster." Shares: Programming, Computer games

iOS Game Programming With Xcode and Cocos2d Justin Dike · 2013 · 512p · ≈ 17h · Moderate Professional instructor, Justin Dike teaches iOS game programming with Xcode and Cocos2d v2. Learn with HD images, interactive galleries, video examples, and color coded examples. Anyone learning Cocos2d or Xcode, beginner or otherwise, will benefit from this comprehensive book.  Topics specific to game programming include: collision detection, platform  collisions, virtual joysticks,… Shares: Programmation, Programming, Computer games

What computers still can't do Hubert L. Dreyfus · 1972 · ★ 4.2 · 354p · ≈ 11h · Moderate When it was first published in 1972, Hubert Dreyfus's manifesto on the inherent inability of disembodied machines to mimic higher mental functions caused an uproar in the artificial intelligence community. The world has changed since then. Today it is clear that "good old-fashioned AI," based on the idea of using symbolic representations to produce general intelligence, is in decline (although… Shares: Künstliche Intelligenz, Intelligence, Intelligence artificielle, Artificial Intelligence

Artificial Intelligence Margaret A. Boden · 1996 · 284p · ≈ 9h · Moderate The applications of Artificial Intelligence lie all around us; in our homes, schools and offices, in our cinemas, in art galleries and - not least - on the Internet. The results of Artificial Intelligence have been invaluable to biologists, psychologists, and linguists in helping to understand the processes of memory, learning, and language from a fresh angle. As a concept, Artificial… Shares: Künstliche Intelligenz, Intelligence artificielle, Artificial Intelligence

Karel the Robot Richard E. Pattis · 1981 · 122p · ≈ 4h · Moderate KAREL The Robot teaches students the fundamental concepts and skills of programming, quickly and easily. By emphasizing logic and structure over calculation, it provides a nonthreatening introduction to the central ideas in programming. This widely praised guide begins by introducing KAREL, a literal-minded robot whos built-in capabilities allow him to explore his world and manipulate simple… Shares: Programmation, Programming

Artificial inteligence and natural man Margaret A. Boden · 1977 · ★ 4.0 · 556p · ≈ 18h · Moderate Artificial Intelligence is the study of how to build or program computers to enable them to do what minds can do. This volume discusses the ways in which computational ideas and computer modeling can aid our understanding of human and animal minds. Major theoretical approaches are outlined, as well as some promising recent developments. Fundamental philosophical questions are discussed along with… Shares: Künstliche Intelligenz, Intelligence artificielle, Artificial Intelligence

Gödel, Escher, Bach Douglas R. Hofstadter · 1979 · ★ 4.3 · 777p · ≈ 25h · Moderate Winner of the Pulitzer Prize A metaphorical fugue on minds and machines in the spirit of Lewis Carroll Douglas Hofstadter's book is concerned directly with the nature of "maps" or links between formal systems. However, according to Hofstadter, the formal system that underlies all mental activity transcends the system that supports it. If life can grow out of the formal chemical substrate of the… Shares: Künstliche Intelligenz, Artificial Intelligence

The Art of Game Design Jesse Schell · 2008 · ★ 4.2 · 610p · ≈ 20h · Moderate Presents the fundamentals of game design from one of the world's top game designers. Exploring the unusual territory that is game design, the book demonstrates how the basic principles of psychology used in board games, card games, and athletic games also work in top-quality video games. The author gives readers 100+ sets of insightful questions to ask themselves to make their games better. These… Shares: Computer graphics, Computer games

AI Superpowers Kai-Fu Lee · 2018 · ★ 3.9 · 256p · ≈ 8h · Moderate The United States has long been the leader in Artificial Intelligence. But Dr. Kai-Fu Lee--one of the world's most respected experts on AI--reveals that China has caught up to the US at an astonishingly rapid pace. As Sino-American competition in AI heats up, Lee envisions China and the US forming a powerful duopoly in AI. He outlines the upheaval of traditional jobs, how the suddenly unemployed… Shares: Künstliche Intelligenz, Intelligence artificielle, Artificial Intelligence

Introduction to machine learning and bioinformatics Sushmita Mitra · 2008 · 384p · ≈ 12h · Moderate Lucidly Integrates Current ActivitiesFocusing on both fundamentals and recent advances, Introduction to Machine Learning and Bioinformatics presents an informative and accessible account of the ways in which these two increasingly intertwined areas relate to each other. Examines Connections between Machine Learning & Bio Shares: Intelligence artificielle, Artificial Intelligence

iPhone iOS 5 Development Essentials Neil Smyth · 2011 · 465p · ≈ 15h · Moderate The aim of iPhone iOS 5 Development Essentials is to teach you the skills necessary to build your own applications for the iPhone. Beginning with the basics, this book provides an overview of the iPhone hardware and the architecture of iOS 5. An introduction to programming in Objective-C is provided followed by an in-depth look at the design of iPhone applications and user interfaces.  More… Shares: Programmation, Programming

Learning to program with Alice Wanda Dann · 2004 · 364p · ≈ 12h · Moderate Shares: Computer animation, Artificial Intelligence

Hackers Steven Levy · 1984 · ★ 4.0 · 457p · ≈ 15h · Moderate Today, technology is cool. Owning the most powerful computer, the latest high-tech gadget, and the whizziest website is a status symbol on a par with having a flashy car or a designer suit. And a media obsessed with the digital explosion has reappropriated the term "computer nerd" so that it's practically synonymous with "entrepreneur." Yet, a mere fifteen years ago, wireheads hooked on tweaking… Shares: Programmation, Programming

Brainlesion : Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries Alessandro Crimi · 2016 · 298p · ≈ 9h · Moderate This two-volume set LNCS 12962 and 12963 constitutes the thoroughly refereed proceedings of the 7th International MICCAI Brainlesion Workshop, BrainLes 2021, as well as the RSNA-ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge, the Federated Tumor Segmentation (FeTS) Challenge, the Cross-Modality Domain Adaptation (CrossMoDA) Challenge, and the challenge on Quantification of Uncertainties… Shares: Computer graphics, Artificial Intelligence

Introduction to artificial intelligence Wolfgang Ertel · 2008 · 334p · ≈ 11h · Moderate This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks, and reinforcement learning. Fully… Shares: Intelligence artificielle, Artificial Intelligence

Intelligent systems in process engineering George Stephanopoulos · 1995 · 625p · ≈ 20h · Moderate Volumes 21 and 22 of Advances in Chemical Engineering contain ten prototypical paradigms which integrate ideas and methodologies from artificial intelligence with those from operations research, estimation andcontrol theory, and statistics. Each paradigm has been constructed around an engineering problem, e.g. product design, process design, process operations monitoring, planning, scheduling,… Shares: Künstliche Intelligenz, Artificial Intelligence

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