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商品描述
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.
商品描述(中文翻譯)
由人工智慧驅動的遊戲與遊戲設計未來新願景。
遊戲能否衡量智慧?人工智慧將如何影響未來的遊戲?在Playing Smart中,Julian Togelius 探索了遊戲與智慧之間的聯繫,提供了未來遊戲與遊戲設計的新願景。視頻遊戲已經依賴於人工智慧。我們利用遊戲來測試人工智慧算法、挑戰我們的思維,並更好地理解自然與人工智慧。Togelius 主張,在未來,遊戲設計師將能夠創造出更智能的遊戲,反過來使我們變得更聰明,應用先進的人工智慧來幫助設計遊戲。在這本書中,他告訴我們如何做到這一點。
遊戲是人工智慧的過去、現在和未來。1948年,計算機科學和人工智慧的奠基人之一 Alan Turing 手寫了一個棋類程序。今天,我們有 IBM 的 Deep Blue 和 DeepMind 的 AlphaGo,並且投入大量精力開發能夠玩像Pac-Man這樣的街機遊戲的人工智慧。程序員繼續利用遊戲來測試和開發人工智慧,創造出新的人工智慧基準,同時挑戰人類的假設和認知能力。Togelius 提醒我們,遊戲設計本質上是一門認知科學——當我們玩或設計遊戲時,我們會計劃、進行空間思考、做出預測、移動,並評估自己和自己的表現。Togelius 寫道,通過研究我們如何玩和設計遊戲,我們可以更好地理解人類和機器的思維。人工智慧在遊戲設計中能做的不僅僅是提供一個技術高超的對手。我們可以利用它來構建遊戲玩家和遊戲設計的人工智慧代理,開啟一代新的人工智慧增強遊戲。藉助人工智慧,我們可以探索學習和遊玩的新前沿。