Granularity and disaggregation in compositional modelling with applications to ecological systems


Autoria(s): Keppens, Jeroen; Shen, Qiang
Contribuinte(s)

Department of Computer Science

Advanced Reasoning Group

Data(s)

15/01/2008

15/01/2008

01/12/2006

Resumo

J. Keppens and Q. Shen. Granularity and disaggregation in compositional modelling with applications to ecological systems. Applied Intelligence, 25(3):269-292, 2006.

In the past decade, compositional modelling (CM) has established itself as the predominant knowledge-based approach to construct mathematical (simulation) models automatically. Although it is mainly applied to physical systems, there is a growing interest in applying CM to other domains, such as ecological and socio-economic systems. Inspired by this observation, this paper presents a method for extending the conventional CM techniques to suit systems that are fundamentally presented by interacting populations of individuals instead of physical components or processes. The work supports building model repositories for such systems, especially in addressing the most critical outstanding issues of granularity and disaggregation in ecological systems modelling.

Peer reviewed

Formato

24

Identificador

Keppens , J & Shen , Q 2006 , ' Granularity and disaggregation in compositional modelling with applications to ecological systems ' Applied Intelligence , vol 25 , no. 3 , pp. 269-292 . DOI: 10.1007/s10489-006-0107-y

1573-7497

PURE: 74294

PURE UUID: 05bb4697-d93f-4e18-ac66-22db1ada14f1

dspace: 2160/426

http://hdl.handle.net/2160/426

http://dx.doi.org/10.1007/s10489-006-0107-y

Idioma(s)

eng

Relação

Applied Intelligence

Palavras-Chave #Model-based reasoning #Compositional modelling #Granularity #Disaggregation #Ecological systems
Tipo

/dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article

Direitos