標(biāo)題: Titlebook: Cells and Robots; Modeling and Control Dejan Lj. Milutinovi?,Pedro U. Lima Book 2007 Springer-Verlag Berlin Heidelberg 2007 Multi-agent sys [打印本頁] 作者: 休耕地 時(shí)間: 2025-3-21 16:44
書目名稱Cells and Robots影響因子(影響力)
書目名稱Cells and Robots影響因子(影響力)學(xué)科排名
書目名稱Cells and Robots網(wǎng)絡(luò)公開度
書目名稱Cells and Robots網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Cells and Robots被引頻次
書目名稱Cells and Robots被引頻次學(xué)科排名
書目名稱Cells and Robots年度引用
書目名稱Cells and Robots年度引用學(xué)科排名
書目名稱Cells and Robots讀者反饋
書目名稱Cells and Robots讀者反饋學(xué)科排名
作者: BARGE 時(shí)間: 2025-3-21 22:17 作者: 歡騰 時(shí)間: 2025-3-22 03:01 作者: placebo-effect 時(shí)間: 2025-3-22 06:18
Micro-Agent Population Dynamics, approach is motivated by the results of Kinetic Gas Theory [39]. Kinetic Gas Theory deals with a model in which a gas consists of a very large number of small particles in motion. The motivation to exploit this statistical physics reasoning originates from the consideration of a gas as a population作者: saphenous-vein 時(shí)間: 2025-3-22 12:22
Stochastic Micro-Agent Model of the T-Cell Receptor Dynamics,e qualitative and quantitative difference between the results received from the Stochastic Micro-Agent and ODE models of TCR dynamics. Particular attention is paid to the capability of comparing the model-predicted TCR distribution to available experimental data.作者: Conscientious 時(shí)間: 2025-3-22 13:03 作者: Conscientious 時(shí)間: 2025-3-22 21:03
Stochastic Modeling and Control of a Large-Size Robotic Population,eloped. We find this approach general enough to provide results of potential interest in engineering applications concerning Multi-Agent systems (MAS). The main motivation of our approach is to provide fundamental principles of modeling and control for large-size populations, providing math-based to作者: Ligament 時(shí)間: 2025-3-23 00:17 作者: Adrenaline 時(shí)間: 2025-3-23 03:45 作者: linguistics 時(shí)間: 2025-3-23 06:12 作者: extrovert 時(shí)間: 2025-3-23 13:06 作者: 無孔 時(shí)間: 2025-3-23 17:34
Micro-Agent and Stochastic Micro-Agent Models,d. This population model includes the full population complexity. Approximating this complexity by stochastic modeling leads to a .. Biologically motivated Micro-Agent and Stochastic Micro-Agent are formally defined in Section 3.4 and Section 3.5, respectively.作者: 慢慢啃 時(shí)間: 2025-3-23 18:15
1610-7438 ered and their behaviour controlled.Prize winner in the 5th .Cells and Robots. is an outcome of the multidisciplinary research extending over Biology, Robotics and Hybrid Systems Theory. It is inspired by modeling reactive behavior of the immune system cell population, where each cell is considered 作者: Custodian 時(shí)間: 2025-3-24 01:35 作者: Restenosis 時(shí)間: 2025-3-24 05:36
https://doi.org/10.1007/978-3-319-75145-0. The main motivation of our approach is to provide fundamental principles of modeling and control for large-size populations, providing math-based tools for the analysis and control design from specifications.作者: alabaster 時(shí)間: 2025-3-24 06:33 作者: insolence 時(shí)間: 2025-3-24 14:11 作者: CREST 時(shí)間: 2025-3-24 16:18
Book 2007ing reactive behavior of the immune system cell population, where each cell is considered as an independent agent. In our modeling approach, there is no difference if the cells are naturally or artificially created agents, such as robots. This appears even more evident when we introduce a case study作者: EPT 時(shí)間: 2025-3-24 21:05
Micro-Agent Population Dynamics, of individual particles. A straightforward application of this theory to a general Micro-Agent population is not possible. However, it provides us with an insight on how to make a bridge between the micro-dynamics of the individual Micro-Agent and the Micro-Agent population macro-dynamics.作者: Ordeal 時(shí)間: 2025-3-25 01:24 作者: 硬化 時(shí)間: 2025-3-25 04:49
https://doi.org/10.1007/978-3-319-74844-3 of individual particles. A straightforward application of this theory to a general Micro-Agent population is not possible. However, it provides us with an insight on how to make a bridge between the micro-dynamics of the individual Micro-Agent and the Micro-Agent population macro-dynamics.作者: 越自我 時(shí)間: 2025-3-25 10:45
Farkhondeh Jabari,Behnam Mohammadi-Ivatloonamics equations to a set of equations that incorporate the parameter uncertainty. Our discussion in this chapter is limited to the case of a . single parameter uncertainty. However, the suggested procedure is general enough to be applied to more complex cases, involving several uncertain parameters.作者: Gum-Disease 時(shí)間: 2025-3-25 13:33
1610-7438 . The work was a runner-up for the fifth edition of the Georges Giralt Award for the best European PhD thesis in Robotics, annually awarded by the European Robotics Research Network (EURON)..978-3-642-09115-5978-3-540-71982-3Series ISSN 1610-7438 Series E-ISSN 1610-742X 作者: Flu表流動(dòng) 時(shí)間: 2025-3-25 18:28
Book 2007stem dynamics....The text of this monograph is based on the PhD thesis of the first author. The work was a runner-up for the fifth edition of the Georges Giralt Award for the best European PhD thesis in Robotics, annually awarded by the European Robotics Research Network (EURON)..作者: Carcinoma 時(shí)間: 2025-3-25 21:02 作者: 離開就切除 時(shí)間: 2025-3-26 03:39 作者: defenses 時(shí)間: 2025-3-26 06:17
Cells and Robots978-3-540-71982-3Series ISSN 1610-7438 Series E-ISSN 1610-742X 作者: hazard 時(shí)間: 2025-3-26 10:29
Farkhondeh Jabari,Behnam Mohammadi-Ivatlooe qualitative and quantitative difference between the results received from the Stochastic Micro-Agent and ODE models of TCR dynamics. Particular attention is paid to the capability of comparing the model-predicted TCR distribution to available experimental data.作者: Eclampsia 時(shí)間: 2025-3-26 16:26
https://doi.org/10.1007/978-3-319-75145-0effort comes from the observation that both cells and robots are sophisticated agents with ability to sense the environment, analyze signals and act individually, or in cooperation with their teammates.作者: Entreaty 時(shí)間: 2025-3-26 19:57 作者: 缺乏 時(shí)間: 2025-3-26 23:26 作者: Nucleate 時(shí)間: 2025-3-27 03:42 作者: 減至最低 時(shí)間: 2025-3-27 07:28 作者: 雪崩 時(shí)間: 2025-3-27 13:14
Farkhondeh Jabari,Behnam Mohammadi-Ivatlooe qualitative and quantitative difference between the results received from the Stochastic Micro-Agent and ODE models of TCR dynamics. Particular attention is paid to the capability of comparing the model-predicted TCR distribution to available experimental data.作者: regale 時(shí)間: 2025-3-27 14:12
Farkhondeh Jabari,Behnam Mohammadi-Ivatloo of the population is identical. Motivated by the problem of modeling the diversity in biological interactions, we describe here a method of dealing with the parameter uncertainty of the . continuous dynamics. This method is focused on a systematic procedure that modifies the original . state PDF dy作者: Oversee 時(shí)間: 2025-3-27 20:13 作者: Limited 時(shí)間: 2025-3-28 00:18 作者: 撫育 時(shí)間: 2025-3-28 06:03 作者: hemophilia 時(shí)間: 2025-3-28 09:16 作者: 扔掉掐死你 時(shí)間: 2025-3-28 12:47
Stochastic Micro-Agent Model of the T-Cell Receptor Dynamics,e qualitative and quantitative difference between the results received from the Stochastic Micro-Agent and ODE models of TCR dynamics. Particular attention is paid to the capability of comparing the model-predicted TCR distribution to available experimental data.作者: 蟄伏 時(shí)間: 2025-3-28 18:29 作者: GUISE 時(shí)間: 2025-3-28 21:42
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