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Content Provider | IEEE Xplore Digital Library |
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Author | Zhang Kuan Qin Rui-bin Zheng Hao-ran Niu Jun-qing |
Copyright Year | 2011 |
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. |
Starting Page | 759 |
Ending Page | 763 |
File Size | 359349 |
Page Count | 5 |
File Format | |
ISBN | 9781612842899 |
DOI | 10.1109/ICICTA.2011.197 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2011-03-28 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Molecular Scale Analytical models Multiagent systems Biological system modeling Computational modeling Biological systems Mathematical model Agent-based Simulation Systems Biology Chemicals Agent-based Modeling |
Content Type | Text |
Resource Type | Article |
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