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Intelligent Game Character Platform Producing Active Drama Experiences

智能游戏角色平台打造活跃戏剧体验

基本信息

批准号：
17300053
负责人：
HOSHINO Junichi
金额：
$ 5.82万
依托单位：
University of Tsukuba
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2005
资助国家：
日本
起止时间：
2005 至 2006
项目状态：
已结题

项目摘要

1) Action Control of Game CharactersConstructing a narrative ecosystem is one of the important technologies for many computer games. This paper presents a reactive episode control system that allows for dynamic creation of a long-term story in response to the active interaction between multiple characters and the user's actions. This system makes possible a story world where the user's actions not only create reactions among the characters that are currently present, but also influence the long-term story events. Episode control system stores a number of episode trees (components of the story) and dynamically connects them in a hierarchy, in parallel or in series to generate a variety of possible stories. This model organizes the flow of events into a hierarchy based on AND/OR conditions, creating many possibilities that could happen in a single episode. A single story is composed of a number of episodes organized in a hierarchy, in parallel or in series.2) Imitation Learning of Action … More Game CharacterIn action games, the computer's behavior lacks diversity and human players are able to learn how the computer behaves by playing the same game over and over again. As a result, human players eventually grow tired of the game. Therefore, this paper proposes a method of imitating the behavior of human players by creating profiles of players from their play data. By imitating what many different players do, a greater variety of actions can be created.3) Application for Second Language Learning SystemIn the process of acquiring a language skill by task-based learning, it's important for the learner to try to convey information to one another and reach mutual comprehension through restating, clarifying, and confirming information in the process of communications. Therefore, we construct a model of negotiation of meaning for NPC (Non-player Character). When the learner has a conversation with NPC, NPC may help learner get started or work through a stumbling block by the negotiation of meaning function. The system architecture is designed to support several important internal requirements. The Task Model provides a task based on the leaner and initializes the scenario and the position of NPC in the virtual environment. The Conversation Model includes the Negotiation of Meaning Model that both applications can use. When NPC answers the question from the learner, a speech recognizer that both applications can use, and a natural language parser that can annotate phrases with structural information and refer to relevant grammatical explanations. Less

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