Towards Characterizing Distributed Complex Situation Assessment as Workflows in Loosely Coupled Systems

Bǎdicǎ, Costin; Conrado, Claudine; Mignet, Franck; Oude, Patrick de; Pavlin, Gregor

doi:10.1007/978-3-642-32524-3_16

Cited by 1 publication

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“…Multi‐agent systems were proposed as a new paradigm for the modelling, simulation, and programming of complex systems. Software agents proved appropriate for the engineering of complex contemporary applications that are composed of many, possibly heterogeneous, interacting, fault tolerant, and distributed components that operate in highly dynamic and uncertain environments (C. Bădică, Conrado, Mignet, de Oude, & Pavlin, ; Jennings & Bussmann, ). During the last decade, researchers were interested in investigating the relationships between multi‐agent systems and continuous dynamic systems regarding the modelling, simulation, and implementation aspects (A. Bădică, Bădică, Brezovan, and Ivanović, ; A. Bădică, Bădică, Ivanović, & Mitrović, ; Bogaerts et al, ; Borshchev & Filippov, ; Fortino, Rango, Russo, & Santoro, ; Macal, ).…”

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confidence: 99%

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

et al. 2018

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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.

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