@inproceedings{75d8373434da4a808a085eaf3ef3fbd2,
title = "An agent-based modeling approach for stochastic molecular events of biochemical networks",
abstract = "Modeling and simulation of intracellular biochemical networks is a critical method to study the biological system behaviors. The phenomena of self-organization play a crucial role in biological systems and Agent-based modeling (ABM) has been widely viewed as a computational framework to study the complex systems. Agent-based modeling approach has tremendous potential in advancing studying the phenomena of self-organization in biochemical networks, but is still under-utilized both in theory and practice. In this study we present a new bottom-up computational modeling and simulation paradigm - Agent-Based Modeling (ABM) with Reaction Agents (ABM-RA) which models the biochemical networks based on self-organization and is a mathematical formalization of a multi-agent system for the biochemical reaction networks. Experiment results show that ABM-RA is a generic approach. It is thus a fundamentally better fit to a real biological system than the top-down approach which relies heavily on human abstractions.",
keywords = "Agent-based Modeling, Agent-based Simulation, Molecular Scale, Systems Biology",
author = "Zhang Kuan and Qin Rui-Bin and Zheng Hao-Ran and Niu Jun-Qing",
year = "2011",
doi = "10.1109/ICICTA.2011.197",
language = "English (US)",
isbn = "9780769543536",
series = "Proceedings - 4th International Conference on Intelligent Computation Technology and Automation, ICICTA 2011",
pages = "759--763",
booktitle = "Proceedings - 4th International Conference on Intelligent Computation Technology and Automation, ICICTA 2011",
note = "2011 4th International Conference on Intelligent Computation Technology and Automation, ICICTA 2011 ; Conference date: 28-03-2011 Through 29-03-2011",
}