A Study on Construction of Fundamental Theory for Biological-Oriented Manufacturing Systems

面向生物的制造系统基础理论构建研究

• 批准号: 06452161
• 负责人: UEDA Kanji
• 金额: $ 4.48万
• 依托单位: Kobe University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for General Scientific Research (B)
• 财政年份: 1994
• 资助国家: 日本
• 起止时间: 1994 至 1995
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-06452161/
• 关键词: Biological Manufacturing Systems; Pseudo Ecosystem; Artificial Life; Emergence; Genetic Algorithms; Reinforcement Learning; Manufacturing Systems; Artifactual Engineering

Conceptual Development of Biological-Oriented Manufacturing System was purposed as a pseudo ecosystem of artifacts. Especially, the multi-developmental process from original materials to products in detail was discussed, from the point of view of the explanation of protein synthesis in molecular biology.Evolution and Learning in a Biological-Oriented Manufacturing SystemThe formulation of assembly models required for autonomous assembly and its notation method is developed, named the graph of Connection Precedence Relationship (CPR-graph).Evolution and Learning in a Biological-Oriented Manufacturing SystemA mathematical model of a simple Biological-Oriented Manufacturing System was purposed. The manufacturing system was considered as a pseudo ecosystem, in which the different kinds of agents and the production requests were species and the global environment, respectively. An extended genetic algorithm was developed, named GA with neutral mutations, motivated by the phenomenon of the directed evolution in bacteria. The optimization performance was examined by solving problems including GA-difficulty, such as nonstationarity and deception.In addition, two learning schema required was developed for the manufacturing system. One of them was the composite stochastic learning automata in order to obtain the cooperative behavior among the group of agents, the other was a new efficient reinforcement learning algorithm in a dynamic environment.

面向生物的制造系统概念开发是一个人工制品的伪生态系统。特别是从分子生物学解释蛋白质合成的角度，详细讨论了从原材料到产品的多阶段发展过程。面向生物的制造系统的进化与学习研究了自主装配所需的装配模型及其表示方法，生物面向制造系统的进化与学习建立了一个简单的生物面向制造系统的数学模型。将制造系统视为一个伪生态系统，其中不同的主体和生产要求分别是物种和全球环境。针对细菌的定向进化现象，提出了一种改进的遗传算法--中性突变遗传算法。通过求解包括遗传算法难度的问题，如非平稳性和欺骗性，检验了优化性能。此外，为制造系统开发了两种所需的学习模式。其中一种是复合随机学习自动机，以获得群体之间的合作行为，另一种是一种新的有效的强化学习算法在动态环境中。

项目成果

上田完次,下原勝憲,伊庭斉志,共編著: "「人工生命の方法」" 工業調査会, 323 (1995)

Kanji Ueda、Katsunori Shimohara、Masashi Iba，共同编辑：“人工生命的方法”工业研究协会，323（1995）

Kazuhiro Ohkura and Kanji Ueda: ""Adaptation in Dynamic Environment Using Genetic Algorithms with Redundant Representation and Additional Genetic Operators"" Intellignet Engineering Systems through Artificial Neural Networks, ASME Press. vol.4. 291-296 (1

Kazuhiro Ohkura 和 Kanji Ueda：“使用具有冗余表示和附加遗传算子的遗传算法适应动态环境”通过人工神经网络的智能工程系统，ASME 出版社。

Kanji Ueda: ""Artifacts and Biological-oriented Paradigm"" Journal of the Japan Society for Precision Engineering. Vol.61, No.4. 493-496 (1995)

Kanji Ueda：“人工制品和生物导向范式”，日本精密工程学会杂志。

K.Ohkura and K.ueda: "Adaptation in Dynamic Environment using Genetic Algorithms with Redundant Representation and Additional Genetic Operators" Intelligent Engineering Systems Through Artificial Neural Networks. 4. 291-296 (1994)

K.Ohkura 和 K.ueda：“使用具有冗余表示和附加遗传算子的遗传算法适应动态环境”通过人工神经网络的智能工程系统。

上田完次: ""人工物と生物指向パラダイム"" 精密工学会誌. 61. 493-496 (1995)

Kanji Ueda：“人工制品和生物导向范式”日本精密工程学会杂志 61. 493-496 (1995)。