Granularity and disaggregation in compositional modelling with applications to ecological systems

Jeroen Keppens, Qiang Shen

Research output: Contribution to journalArticlepeer-review

3 Citations (SciVal)
141 Downloads (Pure)

Abstract

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.
Original languageEnglish
Pages (from-to)269-292
Number of pages24
JournalApplied Intelligence
Volume25
Issue number3
DOIs
Publication statusPublished - 01 Dec 2006

Keywords

  • Model-based reasoning
  • Compositional modelling
  • Granularity
  • Disaggregation
  • Ecological systems

Fingerprint

Dive into the research topics of 'Granularity and disaggregation in compositional modelling with applications to ecological systems'. Together they form a unique fingerprint.

Cite this