Article
Dendrite P Systems Toolbox: Representation, Algorithms and Simulators
Author/s | Orellana Martín, David
Martínez del Amor, Miguel Ángel Valencia Cabrera, Luis Pérez Hurtado de Mendoza, Ignacio Riscos Núñez, Agustín Pérez Jiménez, Mario de Jesús |
Department | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
Publication Date | 2021 |
Deposit Date | 2021-03-17 |
Published in |
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Abstract | 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 ... 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 PLingua 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. |
Funding agencies | Ministerio de Economia, Industria y Competitividad (MINECO). España |
Project ID. | TIN2017-89842-P (MABICAP) |
Citation | Orellana Martín, D., Martínez del Amor, M.Á., Valencia Cabrera, L., Pérez Hurtado de Mendoza, I., Riscos Núñez, A. y Pérez Jiménez, M.d.J. (2021). Dendrite P Systems Toolbox: Representation, Algorithms and Simulators. International Journal of Neural Systems (IJNS), 31 (1), 2050071-1-2050071-16. |
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