Multi-agent modelling and simulation of graph-based predator-prey dynamic systems: A BDI approach

被引：7

作者：

Badica, Amelia ^{[1
]}

Badica, Costin ^{[2
]}

Ivanovic, Mirjana ^{[3
]}

Danciulescu, Daniela ^{[4
]}

机构：

[1] Univ Craiova, Dept Stat & Business Informat, Craiova, Romania

[2] Univ Craiova, Dept Comp & Informat Technol, Craiova, Romania

[3] Univ Novi Sad, Dept Math & Informat, Novi Sad, Serbia

[4] Univ Craiova, Dept Informat, Craiova, Romania

来源：

EXPERT SYSTEMS | 2018年 / 35卷 / 05期

关键词：

agent-oriented programming; BDI agent; dynamic system; modelling and simulation; SOCIAL SIMULATIONS; AGENTS; SOFTWARE;

D O I：

10.1111/exsy.12263

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We propose a new framework based on Belief-Desire-Intention multi-agent systems for the macroscopic modelling and simulation of continuous dynamic systems. The main idea is to break down the target system model into a collection of autonomous and loosely coupled interacting components endowed with clean message-based interfaces and local intelligence. Each component is then mapped to a Belief-Desire-Intention agent that captures its state as a set of logical facts and its behavioural patterns as a set of plans. The system model can be described as a multi-agent programme that is specified using the state-of-the-art Jason agent-oriented programming language. The approach is evaluated by considering a generalized graph-based model of predator-prey systems. Our approach supports the configuration of the multi-agent model with various differential equations integration methods, as required by the specific problem.

引用

页数：20

共 45 条

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