Developing Social Informational Network Models Based on Evolutionary Computation and Machine Learning Theories

基于进化计算和机器学习理论开发社会信息网络模型

• 批准号: 10680370
• 负责人: TERANO Takao
• 金额: $ 1.86万
• 依托单位: University of Tsukuba
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 1998
• 资助国家: 日本
• 起止时间: 1998 至 2000
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-10680370/
• 关键词: Computational Organization Theory; Social Simulation; Evolutionary Computation; Machine Learning; Multiagent System; Informationa Network; Distributed Artificial Intelligence; Genetic Algorithms; 計算組織論

The objective of the research project is to develop agent-based models to uncover the sophisticated and emergent properties of modern social information networks such as the Internet. We have utilized both evolutionary computation and machine learning theories in the framework of multiagent-based complex adaptive system approach. The main results are summarized as follows :(1) Organizational Learning Oriented Classifier System (OCS)OCS is novel extension of conventional Learning Classifier Systems in the GA literature to multiagent and organizational learning environments.(2) Inverse Simulation Techniques and its Application to Social Agent-based Simulator TRURLInverse Simulation is a novel technique to analyze phenomena in complex simulation tasks. This is attained by new GAs for multimodal and multiobjective function optimization.(3) Application of the Techniques to Practical Task DomainsThe developed methods are applied to practical task domains : Printed Circuit Board Parts Placement, Fairy-Wing : Guidance System with Smart IC-Cards, Coevolution in Ecomarketing Simulation, Knowledge Management and Social Interaction Studies.

该研究项目的目标是开发基于代理的模型，以揭示现代社会信息网络，如互联网的复杂和新兴的属性。在基于多智能体的复杂适应系统方法框架中，我们利用了进化计算和机器学习理论。（1）面向组织学习的分类器系统（OCS）OCS是遗传算法中传统的学习分类器系统在多智能体和组织学习环境中的一种新的扩展。(2)逆向仿真技术及其在社会Agent仿真器TRURL中的应用逆向仿真是一种分析复杂仿真任务中现象的新技术。这是实现新的遗传算法的多峰和多目标函数优化。(3)应用的技术，以实际的任务域所开发的方法被应用到实际的任务域：印刷电路板零件放置，Fairy-Wing：智能IC卡引导系统，协同进化在生态营销模拟，知识管理和社会互动研究。

项目成果

T.Terano,T.Nishimura,Y.Ishida,E.Murakami: "Fairy in a Smart IC Card : Interfacing People, Town, and Digital City."Springer LNCS 1765. 378-390 (2000)

T.Terano、T.Nishimura、Y.Ishida、E.Murakami：“智能 IC 卡中的仙女：连接人、城镇和数字城市。”Springer LNCS 1765. 378-390 (2000)

Takao Terano, Toshikazu Nishimura, Yoko Ishino, Eiji Murakami: "Fairy in a Smart IC Card : Interfacing People, Town, and Digital City."Toru Ishida, Katherine Isbister (eds.) : Digital Cities : Technologies, Experiences, and Future Perspectives Springer LN

Takao Terano、Toshikazu Nishimura、Yoko Ishino、Eiji Murakami：“智能 IC 卡中的仙女：连接人、城镇和数字城市。”Toru Ishida、Katherine Isbister（编辑）：数字城市：技术、体验和未来展望

寺野隆雄: "GAを使いこなすには"情報処理. 40・6. 628-631 (1999)

寺野隆夫：“如何掌握遗传算法”信息处理40・6（1999）。

T.Terano,S.Kurahashi,U.Mirami: "TRURL:Artificial World for Social Interaction Studies." Proc.6th Int.Conf.on Artificial Life(ALIFE VI). 326-335 (1998)

T.Terano、S.Kurahashi、U.Mirami：“TRURL：社会互动研究的人工世界。”

Takao Terano: "Analyzing Social Interaction in Electronic Communities Using an Artificial World Approach."Int.J.on Technological Forecasting and Social Change. Vol.64. 13-21 (2000)

Takao Terano：“使用人工世界方法分析电子社区中的社会互动。”Int.J.on 技术预测和社会变革。