1970年艺术项目用早期机器学习探索人机协作与系统反馈。
Making Effective Decisions: Machine Learning and the Ecogame in 1970
- 基于控制论设计实时互动艺术系统
- 通过反馈机制让参与者影响整体行为演化
- 为当代人工智能艺术提供人文关怀先例
本文探讨1970年开创性艺术项目Ecogame，其创作者秉持技术向善的愿景，基于控制论构想可通过数字手段实现参与式未来，从而更具民主性。该系统利用仿真与早期机器学习技术，在实时网络中结合视觉艺术与适应性、反馈及控制等控制论概念，表明个体行为会对整体系统产生影响。Ecogame为当代以人工智能驱动的艺术提供了以人为本的先例。
原文摘要 · Abstract (English)
This paper considers Ecogame, an innovative art project of 1970, whose creators believed in a positive vision of a technological future; an understanding, posited on cybernetics, of a future that could be participatory via digital means, and therefore more democratised. Using simulation and early machine learning techniques over a live network, Ecogame combined the power of visual art with cybernetic concepts of adaptation, feedback, and control to propose that behaviour had implications for the total system. It provides an historical precedent for contemporary AI-driven art about using AI in a more human-centred way.
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