Dendrite P Systems Toolbox: Representation, Algorithms and Simulators

被引:13
|
作者
Orellana-Martin, David [1 ]
Martinez-del-Amor, Miguel A. [1 ]
Valencia-Cabrera, Luis [1 ]
Perez-Hurtado, Ignacio [1 ]
Riscos-Nunez, Agustin [1 ]
Perez-Jimenez, Mario J. [1 ]
机构
[1] Univ Seville, Dept Comp Sci & Artificial Intelligence, Res Grp Nat Comp, Ave Reina Mercedes S-N, Seville 41012, Spain
关键词
Dendrite P systems; spiking neural P systems; simulation; P-Lingua; MeCoSim;
D O I
10.1142/S0129065720500719
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Dendrite P systems (DeP systems) are a recently introduced neural-like model of computation. They provide an alternative to the more classical spiking neural (SN) P systems. In this paper, we present the first software simulator for DeP systems, and we investigate the key features of the representation of the syntax and semantics of such systems. First, the conceptual design of a simulation algorithm is discussed. This is helpful in order to shade a light on the differences with simulators for SN P systems, and also to identify potential parallelizable parts. Second, a novel simulator implemented within the P-Lingua simulation framework is presented. Moreover, MeCoSim, a GUI tool for abstract representation of problems based on P system models has been extended to support this model. An experimental validation of this simulator is also covered.
引用
收藏
页数:16
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