EAGER: Creative Synthesis of Interactive Artifacts through Computational Knowledge Building
EAGER: Creative Synthesis of Interactive Artifacts through Computational Knowledge Building
批准号:
1048385
负责人:
Michael Mateas
金额:
$27.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-09-01 至 2013-08-31
中文摘要
这个项目探索了一种全新的创造性理论和计算模型,将其塑造为对好奇心的理性追求,特别是开发了一种富有表现力的人工制品创造模型,作为一种寻求知识的努力。当给定一个实验情况和一组发现动作时,一个发现代理从事于对好奇心的理性追求,当该代理采取它所预测的动作将导致最大的知识收益时。这是我们提出的变革性创造力模型的一个关键特征:设计领域的创意代理人之所以具有创造力,正是因为他们寻求增加他们在该领域的设计知识。这一新的发现系统方法将建立在Co-Pi早期在形式化游戏力学领域和通过逻辑推理生成各种人类可玩的游戏方面的贡献的基础上。通过这样做,该项目将弥合创意文学方面的差距?将审美艺术品的创造重塑为一个知识构建过程,而不是有限的语法或对生成空间的无知识探索的产物。我们将这种方法称为富有表现力的发现。拟议的游戏设计系统将专注于创建驱动游戏玩法的底层机制模型,目标是提供一个新的游戏开发平台。计算创造力的这一领域将支持超越静态输出(例如,音乐作品或虚构故事)的生产的游戏设计,转向创建固有的自我反思和交互的人工制品。该项目由三个核心活动组成:1)创建第一个形式化,它为计算创意系统中的交互人工制品提供了一个大的设计空间;2)开发了一个新的发现系统模型,体现了Co-Pi的转换创造力模型作为对好奇心的理性追求;以及3)对游戏设计模型形式化及其支持的更大的创意过程进行了初步评估,以便为该领域的未来工作提供信息。
英文摘要
This project explores a radical new theoretical and computational model for creativity, casting it as a rational pursuit of curiosity, and in particular develops a model of expressive artifact creation as a knowledge seeking effort. A discovery agent engages in the rational pursuit of curiosity when, given an experimental situation and a set of discovery actions, the agent takes the action it predicts will result in the maximum knowledge gain. This is a key feature of our proposed model of transformational creativity: creative agents in a design domain are creative precisely because they seek to increase their design knowledge in the domain. This new discovery system approach will be built on the foundations of the Co-PI's earlier contributions in formalizing the domain of game mechanics and generating a wide variety of human-playable games through logical reasoning. In doing so, the project will bridge a gap in the creativity literature? recasting the creation of aesthetic artifacts as a knowledge building process, rather than the product of a limited grammar or the knowledge-free exploration of a generative space. We call this approach expressive discovery.The proposed game design system will be focused in the creation of the underlying models of the mechanics that drive game play with the goal of providing a new game development platform. This area of computational creativity will support game design that moves beyond the production of static outputs (e.g., musical compositions or fictional stories) toward the creation of artifacts that are inherently self-reflective and interactive. This project consists of three core activities: 1) creating the first formalization that captures a large design space for interactive artifacts in a computational creative system; 2) develop a new model for discovery systems that embodies the Co-PI's model of transformational creativity as the rational pursuit of curiosity.; and 3) preliminary evaluations of the game design model formalization and the larger creative process it supports to inform future work in the area.
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会议论文
CHS: Medium: Collaborative Research: Responsive Generation of Intrinsically Motivating Scenarios
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批准号:1409992
-
项目类别:Standard Grant
-
资助金额:$85.7万
-
财政年份:2014
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负责人:Michael Mateas
-
依托单位:
EAGER: Toward Automatic Generation of Challenge-Driven Interactive Narratives
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批准号:1258305
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项目类别:Standard Grant
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资助金额:$15.1万
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财政年份:2012
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负责人:Michael Mateas
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依托单位:
CAREER: Automated Support for Novice Authorning of Interactive Drama
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批准号:0747522
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项目类别:Standard Grant
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资助金额:$50.0万
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财政年份:2008
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负责人:Michael Mateas
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依托单位:
SGER Collaborative Research: Persistent, Adaptive, Collaborative Synthespians
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批准号:0749316
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项目类别:Standard Grant
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资助金额:$0.0万
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财政年份:2007
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负责人:Michael Mateas
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依托单位:
Collaborative Research: Closing the Affective Gap
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批准号:0752684
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项目类别:Standard Grant
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资助金额:$21.24万
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财政年份:2007
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负责人:Michael Mateas
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依托单位:
Collaborative Research: Closing the Affective Gap
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批准号:0534355
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项目类别:Standard Grant
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资助金额:$25.48万
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财政年份:2006
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负责人:Michael Mateas
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依托单位:
海外基金