
Towards Efficient Multi-agent Abduction Protocols
Bourgne, Gauvain; Inoue, Katsumi; Maudet, Nicolas (2011), Towards Efficient Multi-agent Abduction Protocols, in Dastani, Mehdi; El Fallah Seghrouchni, Amal; Hübner, Jomi; Leite, Joao, Languages, Methodologies, and Development Tools for Multi-Agent Systems Third International Workshop, LADS 2010, Lyon, France, August 30-September 1, 2010, Revised Selected Papers, Springer : Berlin, p. 19-38. http://dx.doi.org/10.1007/978-3-642-22723-3_2
View/ Open
Type
Communication / ConférenceDate
2011Conference title
Third International Workshop on Languages, Methodologies, and Development Tools for Multi-Agent Systems, LADS 2010Conference date
2010-08Conference city
LyonConference country
FranceBook title
Languages, Methodologies, and Development Tools for Multi-Agent Systems Third International Workshop, LADS 2010, Lyon, France, August 30-September 1, 2010, Revised Selected PapersBook author
Dastani, Mehdi; El Fallah Seghrouchni, Amal; Hübner, Jomi; Leite, JoaoPublisher
Springer
Series title
Lecture Notes in Computer ScienceSeries number
6822Published in
Berlin
ISBN
978-3-642-22722-6
Number of pages
153Pages
19-38
Publication identifier
Metadata
Show full item recordAbstract (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 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. We present the Multi-agent Abductive Reasoning System (MARS), a protocol guaranteeing convergence to a situation “sufficiently” satisfying as far as consistency of the system is concerned. Abduction in a full clausal theory has however already a high computational cost in centralized settings, which can become much worse with arbitrary distributions. We thus discuss ways to use knowledge about each agent’s theory language to improve efficiency. We then present some first experimental results to assess the impact of those refinements.Subjects / Keywords
Multi-agent Abductive Reasoning System (MARS)Related items
Showing items related by title and author.
-
Bourgne, Gauvain; El Fallah Seghrouchni, Amal; Maudet, Nicolas (2009-09-15) Article accepté pour publication ou publié
-
Bourgne, Gauvain; Inoue, Katsumi; Maudet, Nicolas (2010) Communication / Conférence
-
Bourgne, Gauvain; Maudet, Nicolas; Pinson, Suzanne (2005) Communication / Conférence
-
Bourgne, Gauvain; Maudet, Nicolas; Pinson, Suzanne (2005) Communication / Conférence
-
Soldano, Henry; Maudet, Nicolas; Seghrouchni, Amal El Fallah; Bourgne, Gauvain (2008) Communication / Conférence