• xmlui.mirage2.page-structure.header.title
    • français
    • English
  • Help
  • Login
  • Language 
    • Français
    • English
View Item 
  •   BIRD Home
  • LAMSADE (UMR CNRS 7243)
  • LAMSADE : Publications
  • View Item
  •   BIRD Home
  • LAMSADE (UMR CNRS 7243)
  • LAMSADE : Publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Browse

BIRDResearch centres & CollectionsBy Issue DateAuthorsTitlesTypeThis CollectionBy Issue DateAuthorsTitlesType

My Account

LoginRegister

Statistics

Most Popular ItemsStatistics by CountryMost Popular Authors
Thumbnail - No thumbnail

Abduction of distributed theories through local interactions

Bourgne, Gauvain; Inoue, Katsumi; Maudet, Nicolas (2010), Abduction of distributed theories through local interactions, in Coelho, Helder; Studer, Rudi; Wooldridge, Michael, ECAI 2010 19th European Conference on Artificial Intelligence 16–20 August 2010, Lisbon, Portugal - proceedings, IOS Press, p. 901-906. http://dx.doi.org/10.3233/978-1-60750-606-5-901

Type
Communication / Conférence
External document link
http://dx.doi.org/10.3233/978-1-60750-606-5-901
Date
2010
Conference title
ECAI 2010 19th European Conference on Artificial Intelligence 16–20 August 2010, Lisbon, Portugal
Conference date
2010-08
Conference city
Lisbonne
Conference country
Portugal
Book title
ECAI 2010 19th European Conference on Artificial Intelligence 16–20 August 2010, Lisbon, Portugal - proceedings
Book author
Coelho, Helder; Studer, Rudi; Wooldridge, Michael
Publisher
IOS Press
Series title
Frontiers in Artificial Intelligence and Applications
Series number
215
ISBN
978-1-60750-605-8
Pages
901-906
Publication identifier
http://dx.doi.org/10.3233/978-1-60750-606-5-901
Metadata
Show full item record
Author(s)
Bourgne, Gauvain
Inoue, Katsumi
Maudet, Nicolas cc
Abstract (EN)
What happens when distributed sources of information (agents) hold and acquire information locally, and have to communicate with neighbouring agents in order to refine their hypothesis regarding the actual global state of this environment? This question occurs when it is not be possible (e. g. for practical or privacy concerns) to collect observations and knowledge, and centrally compute the resulting theory. In this paper, we assume that agents are equipped with full clausal theories and individually face abductive tasks, in a globally consistent environment. We adopt a learner/critic approach. Previous work in this line mostly relied on some assumptions of compositionality (which allow to treat each piece of exchanged information separately). Because no shared background knowledge is assumed to start with, this does not hold here. We design a protocol guaranteeing convergence to a situation “sufficiently” satisfying as far as consistency of the system is concerned, and discuss its other properties.
Subjects / Keywords
Intelligence artificielle; communication

Related items

Showing items related by title and author.

  • Thumbnail
    Towards Refinement of Abductive or Inductive Hypotheses through Propagation 
    Bourgne, Gauvain; El Fallah Seghrouchni, Amal; Maudet, Nicolas (2009-09-15) Article accepté pour publication ou publié
  • Thumbnail
    Towards Efficient Multi-agent Abduction Protocols 
    Bourgne, Gauvain; Inoue, Katsumi; Maudet, Nicolas (2011) Communication / Conférence
  • Thumbnail
    Efficient Propagation of Uncertain Information 
    Bourgne, Gauvain; Maudet, Nicolas; Pinson, Suzanne (2005) Communication / Conférence
  • Thumbnail
    Efficient Propagation of Uncertain Information 
    Bourgne, Gauvain; Maudet, Nicolas; Pinson, Suzanne (2005) Communication / Conférence
  • Thumbnail
    Hypotheses Refinement Under Topological Communication Constraints 
    Hette, Gaël; Bourgne, Gauvain; Maudet, Nicolas; Pinson, Suzanne (2007) Communication / Conférence
Dauphine PSL Bibliothèque logo
Place du Maréchal de Lattre de Tassigny 75775 Paris Cedex 16
Phone: 01 44 05 40 94
Contact
Dauphine PSL logoEQUIS logoCreative Commons logo