The huddle: Combining AI techniques to coordinate a player's game characters

Timothy Davison, J. Denzinger
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引用次数: 3

Abstract

We present the huddle, a concept for extending games in which the player is responsible for a group of game characters. The huddle combines several AI methods to allow the player to create a cooperative strategy for his characters to solve a scenario of the game and it takes away from the player the need to frantically jump around in controlling his characters to employ the strategy idea he has. The huddle is entered from a saved game state and allows the player to provide his characters with strategy ideas in form of situations and the actions he wants the characters to take (SAPs). A learner then uses these ideas and adds to it additional SAPs to create a complete strategy. The learner uses a simulation of the real game that uses models for the nonplayer characters based on the experiences the player had with the game, so far, to evaluate strategy candidates. We evaluated the huddle idea with a fantasy-themed role playing game and show that the huddle indeed allows a player to concentrate on his strategy while still requiring him to come up with the solution ideas for scenarios.
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集合:结合AI技术来协调玩家的游戏角色
我们提出了huddle,这是一个扩展游戏的概念,其中玩家负责一组游戏角色。这种组合结合了多种AI方法,让玩家能够为自己的角色创造一种合作策略来解决游戏场景,从而让玩家不再需要疯狂地跳来跳去控制自己的角色去运用自己的策略理念。这个集合是从保存的游戏状态进入的,允许玩家以情境和他希望角色采取的行动(sap)的形式为角色提供战略想法。然后,学习者使用这些想法并添加额外的sap来创建一个完整的策略。学习者使用真实游戏的模拟,使用基于玩家在游戏中的经验的非玩家角色模型来评估策略候选人。我们用一款幻想主题的角色扮演游戏来评估这种聚在一起的想法,结果表明聚在一起确实可以让玩家专注于自己的策略,同时仍然需要他们想出解决方案。
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