EAGER: Creative Synthesis of Interactive Artifacts through Computational Knowledge Building

EAGER：通过计算知识构建创造性地合成交互式制品

• 批准号: 1048385
• 负责人: Michael Mateas
• 金额: $ 27.5万
• 依托单位: University of California-Santa Cruz
• 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
• 起止时间: 2010-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1048385&HistoricalAwards=false
• 关键词: EAGER; Creative; Synthesis; Interactive; Artifacts

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.

该项目探索了一种全新的创造力理论和计算模型，将其视为对好奇心的理性追求，特别是开发了一种表达性人工制品创作的模型，作为知识寻求的努力。当给定一个实验情境和一组发现行动时，发现代理人会理性地追求好奇心，并采取它预测将导致最大知识增益的行动。这是我们提出的转型创造力模型的一个关键特征：在设计领域的创意代理人是创造性的，正是因为他们寻求增加他们的设计知识的域。这种新的发现系统方法将建立在Co-PI早期对游戏机制领域的形式化贡献的基础上，并通过逻辑推理生成各种各样的人类可玩游戏。在这样做的时候，该项目将弥合创造性文献的差距？将审美人工制品的创造重新塑造为知识构建过程，而不是有限语法的产物或生成空间的无知识探索。我们称这种方法为表达性发现。所提出的游戏设计系统将专注于创建驱动游戏的机制的底层模型，其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的游戏设计（例如，音乐作品或虚构的故事），以创造人工制品，这是内在的自我反思和互动。该项目包括三个核心活动：1）创建第一个形式化，在计算创意系统中捕获交互式工件的大设计空间; 2）开发一个新的发现系统模型，该模型体现了Co-PI的转换创意模型，即理性追求好奇心。以及3）游戏设计模型形式化的初步评估和它所支持的更大的创造性过程，以告知该领域的未来工作。