◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Gildas Morvan

10 papers hereh-index 10223 citations25 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author5
  • middle author4
  • last author1

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.MA10
same name
  • Gildas Morvan — 3 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20122026
most citedAgent-Based Modeling of Systems of Systems

36 citations · 85 across the 9 of their papers we have counts for

collaborators
Showing 2013Show all

3 papers · 1 filter

cs.MA2013★ 9 cited

A Methodology to Engineer and Validate Dynamic Multi-level Multi-agent Based Simulations

Jean-Baptiste Soyez, Gildas Morvan, Daniel Dupont +1

This article proposes a methodology to model and simulate complex systems, based on IRM4MLS, a generic agent-based meta-model able to deal with multi-level systems. This methodolog…

cs.MA2013

Observation of large-scale multi-agent based simulations

Gildas Morvan, Alexandre Veremme, Daniel Dupont

The computational cost of large-scale multi-agent based simulations (MABS) can be extremely important, especially if simulations have to be monitored for validation purposes. In th…

cs.MA2013★ 25 cited

IRM4MLS: the influence reaction model for multi-level simulation

Gildas Morvan, Alexandre Veremme, Daniel Dupont

In this paper, a meta-model called IRM4MLS, that aims to be a generic ground to specify and execute multi-level agent-based models is presented. It relies on the influence/reaction…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.