A Composition Method to Model Collective Behavior - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2018

A Composition Method to Model Collective Behavior

Moonkun Lee
  • Function : Author
  • PersonId : 1048935

Abstract

It is very important to understand system behaviors in collective pattern for each knowledge domain. However, there are structural limitations to represent collective behaviors due to the size of system components and the complexity of their interactions, causing the state explosion problem. Further composition with other systems is mostly impractical due to exponential growth of their size and complexity. This paper presents an abstraction method to model the collective behaviors, based on a new concept of domain engineering: behavior ontology. Firstly, the ontology defines each collective behavior of a system from active ontology. Secondly, the behaviors are formed in a quantifiably abstract lattice, called n:2-Lattice. Thirdly, a lattice can be composed with other lattices based on quantifiably common elements. The composition can be interpreted as behavioral composition, and can reduce all the unnecessary composition not related to the behaviors in the lattices. In order to demonstrate the feasibility of the method, two examples, Emergency Medical Service and Health Care Service systems, are selected and implemented on a Behavior Ontology tool, called PRISM, which has been developed on ADOxx Meta-Modelling Platform.
Fichier principal
Vignette du fichier
474841_1_En_8_Chapter.pdf (1.97 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02156460 , version 1 (14-06-2019)

Licence

Attribution

Identifiers

Cite

Junsup Song, Moonkun Lee. A Composition Method to Model Collective Behavior. 11th IFIP Working Conference on The Practice of Enterprise Modeling (PoEM), Oct 2018, Vienna, Austria. pp.121-137, ⟨10.1007/978-3-030-02302-7_8⟩. ⟨hal-02156460⟩
53 View
54 Download

Altmetric

Share

Gmail Facebook X LinkedIn More