Modelling and verification analysis of the predator-prey system via a first order logic approach

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Resumen

Consider the interaction of populations, in which there are exactly two species, one of which the predators eat the preys thereby affecting each other. In the study of this interaction Lotka-Volterra models have been used. This paper proposes a formal modelling and verification analysis methodology, which consists in representing the interaction behavior by means of a formula of the first order logic. Then, using the concept of logic implication, and transforming this logical implication relation into a set of clauses, called Skolem standard form, qualitative methods for verification (satisfiability) as well as performance issues, for some queries, are applied.

Idioma originalInglés
Título de la publicación alojadaAdvances in Swarm Intelligence - 8th International Conference, ICSI 2017, Proceedings
EditoresYing Tan, Hideyuki Takagi, Yuhui Shi
EditorialSpringer Verlag
Páginas22-30
Número de páginas9
ISBN (versión impresa)9783319618234
DOI
EstadoPublicada - 2017
Evento8th International Conference on Swarm Intelligence, ICSI 2017 - Fukuoka, Japón
Duración: 27 jul. 20171 ago. 2017

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen10385 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia8th International Conference on Swarm Intelligence, ICSI 2017
País/TerritorioJapón
CiudadFukuoka
Período27/07/171/08/17

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