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General Video Game Artificial Intelligence

General Video Game Artificial Intelligence
Author: Diego Pérez Liébana
Publisher: Morgan & Claypool Publishers
Total Pages: 193
Release: 2019-10-09
Genre: Computers
ISBN: 1681736454
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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.

A guide from beginner to advanced level in AI image generation

A guide from beginner to advanced level in AI image generation
Author:
Publisher: Beatrix White
Total Pages: 112
Release:
Genre: Education
ISBN:
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In the rapidly evolving world of artificial intelligence, the ability to generate lifelike images through AI has captured the imagination of tech enthusiasts, artists, and professionals alike. "A Guide from Beginner to Advanced Level in AI Image Generation" is a comprehensive non-fiction book designed to take readers on an enlightening journey into the heart of AI-driven creativity. This guide stands as a beacon for those eager to explore the vast potential of AI image generation, offering a clear path from foundational concepts to advanced techniques. The book begins by demystifying the core principles behind artificial intelligence and its application in creating images. It introduces readers to the basics of machine learning algorithms, neural networks, and how these technologies converge to simulate human-like creativity in generating visuals. With an emphasis on accessibility, this section ensures that even readers with no prior knowledge of AI can grasp these fascinating concepts. As the guide progresses, it delves deeper into more sophisticated topics such as Generative Adversarial Networks (GANs), Deep Learning, and Convolutional Neural Networks (CNNs). Through engaging explanations and illustrative examples, you will learn how these cutting-edge technologies are used to produce complex and astonishingly realistic images. The book also explores various tools and platforms available for AI image generation, providing practical advice on getting started with your projects. What sets this guide apart is its hands-on approach. Each chapter includes step-by-step tutorials, exercises, and projects designed to reinforce learning and encourage experimentation. Whether you're an artist looking to incorporate AI into your creative process or a developer aiming to harness the power of image generation in your applications, this book offers valuable insights and skills that can be applied across multiple domains. Moreover, "A Guide from Beginner to Advanced Level in AI Image Generation" addresses ethical considerations and challenges associated with AI-generated content. It prompts readers to think critically about issues like copyright infringement, authenticity verification, and the societal impact of indistinguishable real from artificial imagery. Beyond technical mastery, this book inspires creativity and innovation. It showcases groundbreaking works by pioneering artists and developers in the field of AI image generation. These case studies not only highlight what's currently possible but also spark imagination about future advancements. Intended for hobbyists curious about the intersection between technology and artistry; professionals seeking to enhance their toolkit; educators looking for comprehensive teaching material; or simply anyone fascinated by the prospect of creating with AI—this guide serves as an essential resource. "A Guide from Beginner to Advanced Level in AI Image Generation" is more than just a manual; it's a journey into a new frontier of digital creativity. By bridging theoretical knowledge with practical application, it empowers readers not just to understand but also actively participate in shaping the future landscape of visual media through artificial intelligence.

Programming Game AI by Example

Programming Game AI by Example
Author: Mat Buckland
Publisher: Jones & Bartlett Learning
Total Pages: 522
Release: 2005
Genre: Computers
ISBN: 9781556220784
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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.

The AI-First Company

The AI-First Company
Author: Ash Fontana
Publisher: Penguin
Total Pages: 306
Release: 2021-05-04
Genre: Business & Economics
ISBN: 0593330315
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Artificial Intelligence is transforming every industry, but if you want to win with AI, you have to put it first on your priority list. AI-First companies are the only trillion-dollar companies, and soon they will dominate even more industries, more definitively than ever before. These companies succeed by design--they collect valuable data from day one and use it to train predictive models that automate core functions. As a result, they learn faster and outpace the competition in the process. Thankfully, you don't need a Ph.D. to learn how to win with AI. In The AI-First Company, internationally-renowned startup investor Ash Fontana offers an executable guide for applying AI to business problems. It's a playbook made for real companies, with real budgets, that need strategies and tactics to effectively implement AI. Whether you're a new online retailer or a Fortune 500 company, Fontana will teach you how to: • Identify the most valuable data; • Build the teams that build AI; • Integrate AI with existing processes and keep it in check; • Measure and communicate its effectiveness; • Reinvest the profits from automation to compound competitive advantage. If the last fifty years were about getting AI to work in the lab, the next fifty years will be about getting AI to work for people, businesses, and society. It's not about building the right software -- it's about building the right AI. The AI-First Company is your guide to winning with artificial intelligence.

Procedural Generation in Game Design

Procedural Generation in Game Design
Author: Tanya Short
Publisher: CRC Press
Total Pages: 371
Release: 2017-06-12
Genre: Computers
ISBN: 135164291X
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Making a game can be an intensive process, and if not planned accurately can easily run over budget. The use of procedural generation in game design can help with the intricate and multifarious aspects of game development; thus facilitating cost reduction. This form of development enables games to create their play areas, objects and stories based on a set of rules, rather than relying on the developer to handcraft each element individually. Readers will learn to create randomized maps, weave accidental plotlines, and manage complex systems that are prone to unpredictable behavior. Tanya Short’s and Tarn Adams’ Procedural Generation in Game Design offers a wide collection of chapters from various experts that cover the implementation and enactment of procedural generation in games. Designers from a variety of studios provide concrete examples from their games to illustrate the many facets of this emerging sub-discipline. Key Features: Introduces the differences between static/traditional game design and procedural game design Demonstrates how to solve or avoid common problems with procedural game design in a variety of concrete ways Includes industry leaders’ experiences and lessons from award-winning games World’s finest guide for how to begin thinking about procedural design

Deep Learning for Coders with fastai and PyTorch

Deep Learning for Coders with fastai and PyTorch
Author: Jeremy Howard
Publisher: O'Reilly Media
Total Pages: 624
Release: 2020-06-29
Genre: Computers
ISBN: 1492045497
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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

AI for Game Developers

AI for Game Developers
Author: David M Bourg
Publisher: "O'Reilly Media, Inc."
Total Pages: 392
Release: 2004-07-23
Genre: Computers
ISBN: 1449333109
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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.

Toward Human-Level Artificial Intelligence

Toward Human-Level Artificial Intelligence
Author: Philip C. Jackson, Jr
Publisher: Courier Dover Publications
Total Pages: 43
Release: 2019-11-13
Genre: Mathematics
ISBN: 0486833003
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How can human-level artificial intelligence be achieved? What are the potential consequences? This book describes a research approach toward achieving human-level AI, combining a doctoral thesis and research papers by the author. The research approach, called TalaMind, involves developing an AI system that uses a 'natural language of thought' based on the unconstrained syntax of a language such as English; designing the system as a collection of concepts that can create and modify concepts to behave intelligently in an environment; and using methods from cognitive linguistics for multiple levels of mental representation. Proposing a design-inspection alternative to the Turing Test, these pages discuss 'higher-level mentalities' of human intelligence, which include natural language understanding, higher-level forms of learning and reasoning, imagination, and consciousness. Dr. Jackson gives a comprehensive review of other research, addresses theoretical objections to the proposed approach and to achieving human-level AI in principle, and describes a prototype system that illustrates the potential of the approach. This book discusses economic risks and benefits of AI, considers how to ensure that human-level AI and superintelligence will be beneficial for humanity, and gives reasons why human-level AI may be necessary for humanity's survival and prosperity.

Human Level Artificial Intelligence

Human Level Artificial Intelligence
Author: Mitchell Kwok
Publisher: M. Kwok
Total Pages:
Release: 2006-01-01
Genre: Artificial intelligence
ISBN: 9781427604484
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The Universal Artificial Intelligence program is an AI software that can play a videogame in the most optimal way possible. The UAI program serves as the foundation for all learning machines and has a bootstrapping process to keep old information and use the old information to learn new information. This AI program can play all games for any videogame console including X-box 360, Playstation 2, Gameboy advance, P2P and other console based systems. Although there are many integrated components that make up the UAI program, the complexity of the technology is explained to the readers in a basic way without the traditional jargon of computer science. Most of the chapters will concentrate on the three parts of the program which are: storing information, retrieving information and modifying information. The function of the UAI program is to pursue pathways that lead to pleasure and stay away from pathways that lead to pain. In terms of the videogame, the AI will play the game by accomplishing the objective of the game with the highest score possible. The readers should be aware that the computer program has not been proven through math or science and that the author created this technology based on scientific analysis.

Architects of Intelligence

Architects of Intelligence
Author: Martin Ford
Publisher: Packt Publishing Ltd
Total Pages: 540
Release: 2018-11-23
Genre: Computers
ISBN: 178913126X
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Financial Times Best Books of the Year 2018 TechRepublic Top Books Every Techie Should Read Book Description How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level machine intelligence? What should we be concerned about as artificial intelligence advances? Architects of Intelligence contains a series of in-depth, one-to-one interviews where New York Times bestselling author, Martin Ford, uncovers the truth behind these questions from some of the brightest minds in the Artificial Intelligence community. Martin has wide-ranging conversations with twenty-three of the world's foremost researchers and entrepreneurs working in AI and robotics: Demis Hassabis (DeepMind), Ray Kurzweil (Google), Geoffrey Hinton (Univ. of Toronto and Google), Rodney Brooks (Rethink Robotics), Yann LeCun (Facebook) , Fei-Fei Li (Stanford and Google), Yoshua Bengio (Univ. of Montreal), Andrew Ng (AI Fund), Daphne Koller (Stanford), Stuart Russell (UC Berkeley), Nick Bostrom (Univ. of Oxford), Barbara Grosz (Harvard), David Ferrucci (Elemental Cognition), James Manyika (McKinsey), Judea Pearl (UCLA), Josh Tenenbaum (MIT), Rana el Kaliouby (Affectiva), Daniela Rus (MIT), Jeff Dean (Google), Cynthia Breazeal (MIT), Oren Etzioni (Allen Institute for AI), Gary Marcus (NYU), and Bryan Johnson (Kernel). Martin Ford is a prominent futurist, and author of Financial Times Business Book of the Year, Rise of the Robots. He speaks at conferences and companies around the world on what AI and automation might mean for the future. Meet the minds behind the AI superpowers as they discuss the science, business and ethics of modern artificial intelligence. Read James Manyika’s thoughts on AI analytics, Geoffrey Hinton’s breakthroughs in AI programming and development, and Rana el Kaliouby’s insights into AI marketing. This AI book collects the opinions of the luminaries of the AI business, such as Stuart Russell (coauthor of the leading AI textbook), Rodney Brooks (a leader in AI robotics), Demis Hassabis (chess prodigy and mind behind AlphaGo), and Yoshua Bengio (leader in deep learning) to complete your AI education and give you an AI advantage in 2019 and the future.