Grail: A Framework For Adaptive And Believable Ai In Video Games
2018 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE (WI 2018)(2018)
摘要
We describe a framework called Grail which aims at providing developers with tools for implementing AI in games. There is a whole variety of games and the role of AI in them can vary from case to case. Thus, the main challenge is to create a system allowing for meeting various design goals with relatively easy to use interfaces. We present the conceptual architecture of Grail and algorithms chosen by us to cover a wide spectrum of use cases: Planning, Utility System, Simplified Games with Tree Search and scripting. We believe that together they fulfill the requirements of a flexible AI engine.
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关键词
AI in Games, Automated Planning, Utility-Based System, Monte Carlo Tree Search, Autonomous Bots
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