A new P-Lingua toolkit for agile development in membrane computing
|Author/s||Pérez Hurtado de Mendoza, Ignacio
Orellana Martín, David
Martínez del Amor, Miguel Ángel
Valencia Cabrera, Luis
Riscos Núñez, Agustín
|Department||Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial|
|Abstract||Membrane computing is a massively parallel and non-deterministic bioinspired computing paradigm whose models are called P systems. Validating and testing such models is a challenge which is being overcome by developing ...
Membrane computing is a massively parallel and non-deterministic bioinspired computing paradigm whose models are called P systems. Validating and testing such models is a challenge which is being overcome by developing simulators. Regardless of their heterogeneity, such simulators require to read and interpret the models to be simulated. To this end, P-Lingua is a high-level P system definition language which has been widely used in the last decade. The P-Lingua ecosystem includes not only the language, but also libraries and software tools for parsing and simulating membrane computing models. Each version of P-Lingua supported new types or variants of P systems. This leads to a shortcoming: Only a predefined list of variants can be used, thus making it difficult for researchers to study custom ones. Moreover, derivation modes cannot be user-defined, i.e, the way in which P system computations should be generated is determined by the simulation algorithm in the source code. The main contribution of this paper is a completely new design of the P-Lingua language, called P-Lingua 5, in which the user can define custom variants and derivation modes, among other improvements such as including procedural programming and simulation directives. It is worth mentioning that it has backward-compatibility with previous versions of the language. A completely new set of command-line tools is provided for parsing and simulating P-Lingua 5 files. Finally, several examples are included in this paper covering the most common P system types.
|Funding agencies||Agencia Estatal de Investigación. España|
|Citation||Pérez Hurtado de Mendoza, I., Orellana Martín, D., Martínez del Amor, M.Á., Valencia Cabrera, L. y Riscos Núñez, A. (2022). A new P-Lingua toolkit for agile development in membrane computing. Information Sciences, 587 (March 2022), 1-22.|