Titlebook: Cells and Robots; Modeling and Control Dejan Lj. Milutinovi?,Pedro U. Lima Book 2007 Springer-Verlag Berlin Heidelberg 2007 Multi-agent sys

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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

BARGE

歡騰

placebo-effect

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

saphenous-vein

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.

Conscientious

Conscientious

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

Ligament

Adrenaline

linguistics