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A software agent model of muscle myosin nanomotor

机译:肌肉肌球蛋白纳米马达的软件代理模型

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The state-of-the-art in information and robotic systems deals with analyzing of natural systems at nanoscale to apply them for constructing potential bio-nanosystems. This paper employs agent technology and introduces a software agent model of muscle myosin nanomotor which illustrates a set of information processes which are running during the mechanism of the nanomotor. Muscle myosin, as a desired dynamic component of potential bio-nanorobotic systems, is the driven motor of muscle contractions. In this work, firstly, muscle myosin nanomotor was introduced as a physical intelligent agent. Then, we have designed the internal decision-making process of the nanomotor using subsumption architecture of agent technology. The agent-based architectural model of the nanomotor was proposed with mapping the subsumption rules of the nanomotor to its respective Deterministic Finite Automaton (DFA). The proposed agent-based architectural DFA model of muscle myosin nanomotor demonstrated that the nanomotor could receive inputs from its environment, analyze data, and generate outputs. Also, the proposed agent-based architectural DFA model of muscle myosin nanomotor was in good agreement with the behavior of the nanomotor inside the muscle cells. Finally, the proposed agent-based architectural DFA model was implemented as a software agent model of the nanomotor. The developed software agent model of muscle myosin nanomotor traced the real behavior of the nanomotor in nature.
机译:信息和机器人系统中的最新技术致力于纳米级自然系统的分析,以将其应用于构建潜在的生物纳米系统。本文采用代理技术,并介绍了肌肉肌球蛋白纳米马达的软件代理模型,该模型说明了在纳米马达机理过程中运行的一组信息过程。肌肉肌球蛋白作为潜在的生物纳米运动系统的理想动力成分,是肌肉收缩的驱动马达。在这项工作中,首先,肌肉肌球蛋白纳米马达被引入作为一种物理智能剂。然后,我们使用代理技术的包容性体系结构设计了纳米电机的内部决策过程。通过将纳米马达的包含规则映射到其各自的确定性有限自动机(DFA),提出了纳米马达的基于代理的体系结构模型。所提出的基于代理的肌肉肌球蛋白纳米马达的建筑DFA模型表明,纳米马达可以从其环境中接收输入,分析数据并生成输出。同样,提出的基于代理的肌肉肌球蛋白纳米马达的建筑DFA模型与肌肉细胞内部纳米马达的行为非常吻合。最后,将所提出的基于代理的体系结构DFA模型实现为纳米马达的软件代理模型。肌肉肌球蛋白纳米马达的开发的软件代理模型追溯了纳米马达在自然界中的真实行为。

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