A Bioinspired Computing Approach to Model Complex Systems

被引:2
|
作者
Perez-Jimenez, Mario J. [1 ]
机构
[1] Univ Seville, Dept Comp Sci & Artificial Intelligence, Res Grp Nat Comp, Seville, Spain
来源
关键词
Membrane Computing; Multienvironment P systems; Multicompartimental P systems; Population Dynamics P systems; P-SYSTEMS; STOCHASTIC SIMULATION; ECOSYSTEMS; TOOL;
D O I
10.1007/978-3-319-14370-5_2
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The use of models is intrinsic to any scientific activity. In particular, formal/mathematical models provide a relevant tool for scientific investigation. This paper presents a new Membrane Computing based computational paradigm as a framework for modelling processes and real- life phenomena. P systems, devices in Membrane Computing, are not used as a computing paradigm, but rather as a formalism for describing the behaviour of the system to be modelled. They offer an approach to the development of models for biological systems that meets the requirements of a good modelling framework: relevance, understandability, extensibility and computability.
引用
收藏
页码:20 / 34
页数:15
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