Development of An Emergent Problem-Solving System Based on Interaction in Information Field

当考虑大规模和复杂系统中的工程问题时，一种包含双向交互的紧急方法，使我们能够以自适应或交互的方式提取决策模型。本研究以设计一种将建模过程嵌入到求解过程中的方法为目标，构建了交互式信息场和紧急计算方法。要点如下。(1)设计并实现了交互式信息场——明确考虑子模型间交互的分层自治去中心化框架，并研究了基于该框架的仿真与决策模型原型。(2)重构紧急计算方法——基于基于遗传的机器学习技术，设计了一种基于仿真的决策规则获取和调整方法。(3)问题解决模型的共同进化——基于自组织和共同进化等概念发展了一种决策和学习方法。

When considering an engineering problem-solving in large-scaled and complicated systems, an emergent approach containing bi-directional interactions, which enables us to extract a decision-making model in an adaptive or an interactive manner. In this research, aiming at designing a methodology in which a modeling process is embedded in a solution process, an interactive information field as well as an emergent computing method have been (re)constructed. The key points are as follows.(1)Design and implementation of an interactive information field - an hierarchical autonomous decentralized framework in which an interaction among sub-models are explicitly considered has been designed, and an prototype of a simulation and decision-making model based on the framework has been investigated.(2)Reconstruction of emergent computing method - a simulation-based method for acquiring and adjusting decision-making rules has been designed, based on genetics-based machine learning techniques.(3)Coevolution of problem-solving model - a decision-making and learning method has been developed based on such concepts as self-organization and coevolution.