A Multicomponent Modeling Approach for Fishery Simulations

被引：0

作者：

Innocenti, Eric ^{[1
]}

Urbani, Dominique ^{[1
]}

Bisgambiglia, Paul-Antoine ^{[1
]}

Gonsolin, Pierre-Regis ^{[2
]}

机构：

[1] Univ Corsica, UMR CNRS SPE 6134, F-20250 Corte, France

[2] Corsica Inst Technol, Campus Grimaldi, F-20250 Corte, France

来源：

2016 IEEE INTERNATIONAL CONFERENCE ON AGENTS (IEEE ICA 2016) | 2016年

关键词：

Surplus-Production models; Cellular Automata Models; Multi-Agent Systems; DEVS/DTSS; modeling design; MANAGEMENT; DYNAMICS;

D O I：

10.1109/ICA.2016.12

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Surplus-Production Models are computer tools for describing and simulating biomass dynamics of fish stocks. In this work, we propose a new modeling design based on coupling two wellknown paradigms in spatial computer modeling simulation (M&S): Cellular Automata Model (CAM) and Multi-Agent Systems (MAS).

引用

页码：108 / 109

页数：2

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