模块化自组织
Modular self-organization
摘要：
本文的目的是提供一个健全的框架，解决一个困难的问题：自动构建的自主代理的模块化架构。我们结合了两个明显不相关的领域的结果：自主规划通过马尔可夫决策过程和一般的数据聚类方法，使用一个类似核的方法。我们的基本想法是，前者是一个很好的框架，解决自治，而后者允许解决自组织问题。
英文摘要：
The aim of this paper is to provide a sound framework for addressing a difficult problem: the automatic construction of an autonomous agent's modular architecture. We combine results from two apparently uncorrelated domains: Autonomous planning through Markov Decision Processes and a General Data Clustering Approach using a kernel-like method. Our fundamental idea is that the former is a good framework for addressing autonomy whereas the latter allows to tackle self-organizing problems.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
