Declarative optimization-based drama management in interactive fiction
Declarative optimization-based drama management in interactive fiction
复制标题
互动小说中基于声明性优化的戏剧管理
DOI：
10.1109/mcg.2006.55
复制
发表时间：
2006
影响因子：
1.8
通讯作者：
C. Isbell
中科院分区：
文献类型：
--
作者：
M. Nelson;Michael Mateas;D. Roberts;C. Isbell
我们的工作涉及在大型开放世界互动戏剧和基于故事的体验中自动引导体验，其中玩家与故事互动并影响故事。戏剧管理器（DM）是一个系统，它在故事进展时监视故事，重新配置世界以实现作者的目标。DM可能会注意到玩家正在做一些与当前故事不相符的事情，并试图劝阻他或她。这可以通过软动作来实现，例如让非玩家角色开始与玩家对话，以引诱他或她去做其他事情，或者通过更直接的动作，例如锁门。我们目前的工作应用基于搜索的戏剧管理（SBDM）的互动小说片锚头，进一步调查所涉及的算法和作者问题。基于声明式优化的戏剧管理（DODM）通过预测可能的未来故事并根据这些预测重新配置故事世界来指导玩家。这种方法将故事建模为一组可能的情节点，作者指定的评估函数对特定情节点序列的质量进行评级
Our work relates to automatically guiding experiences in large, open-world interactive dramas and story-based experiences where a player interacts with and influences a story. A drama manager (DM) is a system that watches a story as it progresses, reconfiguring the world to fulfill the author's goals. A DM might notice a player doing something that fits poorly with the current story and attempt to dissuade him or her. This is accomplished using soft actions such as having a nonplayer character start a conversation with a player to lure him or her to something else, or by more direct actions such as locking doors. We present work applying search-based drama management (SBDM) to the interactive fiction piece Anchorhead, to further investigate the algorithmic and authorship issues involved. Declarative optimization-based drama management (DODM) guides the player by projecting possible future stories and reconfiguring the story world based on those projections. This approach models stories as a set of possible plot points, and an author-specified evaluation function rates the quality of a particular plot-point sequence