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- 2 articles or papers
Super Mario as a String: Platformer Level Generation Via LSTMs
Summerville Adam J. Mateas Michael
2016 DiGRA/FDG '16 - Proceedings of the First International Joint Conference of DiGRA and FDG
The procedural generation of video game levels has existed for at least 30 years, but only recently have machine learning approaches been used to generate levels without specifying the rules for generation. A number of these have looked at platformer levels as a sequence of characters and performed generation using Markov chains. In this paper we examine the use of Long Short-Term Memory recurrent neural networks (LSTMs) for the purpose of generating levels trained from a corpus of Super Mario Bros. levels. We analyze a number of different data representations and how the generated levels fit into the space of human authored Super Mario Bros. levels.
Beyond Adversarial: The Case for Game AI as Storytelling
Roberts David L. Riedl Mark O. Isbell Charles L.
2009 DiGRA '09 - Proceedings of the 2009 DiGRA International Conference: Breaking New Ground: Innovation in Games, Play, Practice and Theory
As a field, artificial intelligence (AI) has been applied to games for more than 50 years, beginning with traditional two-player adversarial games like tic-tac-toe and chess and extending to modern strategy games, first-person shooters, and social simulations. AI practitionershave become adept at designing algorithms that enable computers to play games at or beyond human levels in many cases. In this paper, we argue that the traditional goal of AI in games—to win the game—is not the only, nor the most interesting goal. An alternative goal for game AI is to make the human player’s play experience “better.”AI systems in games should reason about how to deliver the best possible experience within the context of the game. The key insight of this paper is that approaching AI reasoning for games as storytelling reasoning makes this goal much more attainable. We present an overview of traditional game AI techniques as well as a few more recentAI storytelling techniques. We also provide afoundation for describing and reasoning about games as stories, citing a number of examples. We conclude by discussingthe implications forfuture directions.