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Publication details

Document type
Journal articles

Document subtype
Full paper

Title
Modelling structured societies: A multi-relational approach to context permeability

Participants in the publication
Nunes D (Author)
BioISI
 Antunes L (Author)
Dep. Informática
 LabMAg
 BioISI
Date of Publication
2015

Where published
Artificial Intelligence

Publication Identifiers
ISSN - 0004-3702

Publisher
Elsevier

Volume
229

Starting page
175
Last page
199

Document Identifiers
DOI - https://doi.org/10.1016/j.artint.2015.08.003

Rankings
SCIMAGO Q1 (2016) - 1.634 - Artificial Intelligence
SCIMAGO Q1 (2017) - 0.88 - Artificial Intelligence
SCIMAGO Q1 (2018) - 1.008 - Artificial Intelligence
SCOPUS Q1 (2015) - 1.781 - Artificial Intelligence
SCOPUS Q1 (2016) - 1.634 - Artificial Intelligence
SCOPUS Q1 (2017) - 0.88 - Artificial Intelligence
Web Of Science Q1 (2017) - 3.034 - COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE - SCIE
Web Of Science Q1 (2018) - 4.483 - COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE - SCIE

Keywords
Social simulation and modelling Agent societies Consensus Context Social networks


Export

APA
Nunes D, Antunes L, (2015). Modelling structured societies: A multi-relational approach to context permeability. Artificial Intelligence, 229, 175-199. ISSN 0004-3702. eISSN .

IEEE
Nunes D, Antunes L, "Modelling structured societies: A multi-relational approach to context permeability" in Artificial Intelligence, vol. 229, pp. 175-199, 2015. 10.1016/j.artint.2015.08.003

BIBTEX
@article{32272, author = {Nunes D and Antunes L}, title = {Modelling structured societies: A multi-relational approach to context permeability}, journal = {Artificial Intelligence}, year = 2015, pages = {175-199}, volume = 229 }