This book is a step by step guide to create games with Box2D explained in a simple and friendly way. Are you familiar with ActionScript3 and want to explore the capabilities of physics in game design using Box2D, then this book is for you. You don’t have to be an AS3 hero: if you know how to create classes and functions with AS3, then you can make your first physics game!

This book is a step by step guide to create games with Box2D explained in a simple and friendly way. Are you familiar with ActionScript3 and want to explore the capabilities of physics in game design using Box2D, then this book is for you. You don’t have to be an AS3 hero: if you know how to create classes and functions with AS3, then you can make your first physics game!

Composing Music for Games is a guidebook for launching and maintaining a successful career as a video game composer. It offers a pragmatic approach to learning, intensified through challenging project assignments and simulations. Author Chance Thomas begins with the foundation of scoring principles applicable to all media, and then progresses serially through core methodologies...(展开全部)

What really makes a video game story interactive? What's the best way to create an interactive story? How much control should players be given? Do they really want that control in the first place? Do they even know what they want-or are their stated desires at odds with the unconscious preferences? All of these questions and more are examined in this definitive book on inter...(展开全部)

Narrative designers and game designers are critical to the development of digital and analog games. This book provides a detailed look at the work writers and designers perform every day on game development projects. It includes practical advice on how to break into the game industry as a writer or game designer. Readers can use the templates and detailed instructions provided ...(展开全部)

罗伯特•费希尔（Robert Fisher）：布鲁内尔大学的教育学教授。他曾在英国、非洲和香港等地从事教育工作20余年。此外，他还著有30余本教育学方面的专著，包括《教孩子学会思考》（Teaching Children to Think）、《教孩子学会学习》（Teaching Children to Learn）、《思考的故事》（Stories for Thinking）和《创造性对话》（Creative Dialogue）等。 更多关于孩子教育的信息，请参阅罗伯特•费希尔教授的网页：www.teachingthinking.net

The number of applications of deep learning and neural networks has multiplied in the last couple of years. Neural nets has enabled significant breakthroughs in everything from computer vision, voice generation, voice recognition and self-driving cars. Game development is also a key area where these techniques are being applied. This book will give an in depth view of the potential of deep learning and neural networks in game development. We will take a look at the foundations of multi-layer perceptron’s to using convolutional and recurrent networks. In applications from GANs that create music or textures to self-driving cars and chatbots. Then we introduce deep reinforcement learning through the multi-armed bandit problem and other OpenAI Gym environments.As we progress through the book we will gain insights about DRL techniques such as Motivated Reinforcement Learning with Curiosity and Curriculum Learning. We also take a closer look at deep reinforcement learning and in particular the Unity ML-Agents toolkit. By the end of the book, we will look at how to apply DRL and the ML-Agents toolkit to enhance, test and automate your games or simulations. Finally, we will cover your possible next steps and possible areas for future learning.

The number of applications of deep learning and neural networks has multiplied in the last couple of years. Neural nets has enabled significant breakthroughs in everything from computer vision, voice generation, voice recognition and self-driving cars. Game development is also a key area where these techniques are being applied. This book will give an in depth view of the potential of deep learning and neural networks in game development. We will take a look at the foundations of multi-layer perceptron’s to using convolutional and recurrent networks. In applications from GANs that create music or textures to self-driving cars and chatbots. Then we introduce deep reinforcement learning through the multi-armed bandit problem and other OpenAI Gym environments.As we progress through the book we will gain insights about DRL techniques such as Motivated Reinforcement Learning with Curiosity and Curriculum Learning. We also take a closer look at deep reinforcement learning and in particular the Unity ML-Agents toolkit. By the end of the book, we will look at how to apply DRL and the ML-Agents toolkit to enhance, test and automate your games or simulations. Finally, we will cover your possible next steps and possible areas for future learning.

The Culture - a humanoid/machine symbiotic society - has thrown up many great Game Players. One of the best is Jernau Morat Gurgeh, Player of Games, master of every board, computer and strategy. Bored with success, Gurgeh travels to the Empire of Azad, cruel & incredibly wealthy, to try their fabulous game, a game so complex, so like life itself, that the winner becomes emperor...(展开全部)

'The greatest story of our age ... Be very afraid' John Arlidge, Sunday Times Michael Lewis's epic bestseller tells the outrageous story of the multi-millionaires and whizz kids who scammed the banking system in the blink of an eye - and the whistleblowers who tried to stop them. It's hilarious, terrifying and it's all true. 'Thrilling, a masterclass' Robert McCrum, Observer, B...(展开全部)