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EAGER: Creative Synthesis of Interactive Artifacts through Computational Knowledge Building

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

项目摘要

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中文摘要
翻译
该项目探索了一种全新的理论和计算模型,将其作为一种对好奇心的理性追求,并特别开发了一种表达性人工制品创造的模型,作为一种知识寻求的努力。当给定一个实验情境和一组发现行为时,发现主体会理性地追求好奇心,并采取它所预测的能够获得最大知识的行为。这是我们提出的转型创造力模型的一个关键特征:设计领域的创造性代理人之所以具有创造性,正是因为他们寻求在该领域增加他们的设计知识。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和通过逻辑推理生成各种人类可玩游戏的贡献的基础上。在这样做的过程中,该项目将填补创意文学的空白。将审美艺术品的创造重新塑造为一个知识构建的过程,而不是有限语法的产物或对生成空间的无知识探索。我们称这种方法为表达性发现。提议的游戏设计系统将专注于创造驱动游戏玩法的机制的潜在模型,并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游戏设计超越静态输出(游戏邦注:如音乐作品或虚构故事)的生产,转向具有自我反思和互动的人工制品的创造。该项目包括三个核心活动:1)创建第一个形式化,为计算创意系统中的交互式工件捕获大型设计空间;2)开发一种新的发现系统模型,体现Co-PI的转化创造力模型,即对好奇心的理性追求;3)对游戏设计模型形式化的初步评估,以及它所支持的更大的创意过程,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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CHS: Medium: Collaborative Research: Responsive Generation of Intrinsically Motivating Scenarios
  • 批准号:
    1409992
  • 项目类别:
    Standard Grant
  • 资助金额:
    $85.7万
  • 财政年份:
    2014
  • 负责人:
    Michael Mateas
  • 依托单位:
EAGER: Toward Automatic Generation of Challenge-Driven Interactive Narratives
  • 批准号:
    1258305
  • 项目类别:
    Standard Grant
  • 资助金额:
    $15.1万
  • 财政年份:
    2012
  • 负责人:
    Michael Mateas
  • 依托单位:
CAREER: Automated Support for Novice Authorning of Interactive Drama
  • 批准号:
    0747522
  • 项目类别:
    Standard Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2008
  • 负责人:
    Michael Mateas
  • 依托单位:
SGER Collaborative Research: Persistent, Adaptive, Collaborative Synthespians
  • 批准号:
    0749316
  • 项目类别:
    Standard Grant
  • 资助金额:
    $0.0万
  • 财政年份:
    2007
  • 负责人:
    Michael Mateas
  • 依托单位:
海外基金