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
TypeCommunication / Conférence
External document linkhttp://dx.doi.org/10.3233/978-1-60750-606-5-901
Conference titleECAI 2010 19th European Conference on Artificial Intelligence 16–20 August 2010, Lisbon, Portugal
Book titleECAI 2010 19th European Conference on Artificial Intelligence 16–20 August 2010, Lisbon, Portugal - proceedings
Book authorCoelho, Helder; Studer, Rudi; Wooldridge, Michael
Series titleFrontiers in Artificial Intelligence and Applications
MetadataShow full item record
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 / KeywordsIntelligence artificielle; communication
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