Somewhere2 – A Robust Package for Collaborative Decentralized Consequence-Finding

Philippe Chatalic (1) , André de Amorim Fonseca (1)

1 IASI (LRI) - Intelligence Artificielle et Systèmes d’Inférence

This paper presents SOMEWHERE2, a new framework that may be used for setting up peer-to-peer inference systems and for solving consequence finding problems in a completely decentralized way. It is a complete redesign and reengi-neering of an earlier platform. The new architecture has gained in genericity, modu-larity and robustness. It is much easier to extend and/or to reuse as a building block for advanced distributed applications, such as Peer Data Management Systems.

Mots clés: Automated Reasoning; Collaborative Problem Solving; Peer-To-Peer Architectures; Inference Systems; Consequence Finding

Domaines: Intelligence artificielle [cs.AI]; Système multi-agents [cs.MA]; Calcul parallèle, distribué et partagé [cs.DC]; Informatique [cs]

Philippe Chatalic, André de Amorim Fonseca. Somewhere2 – A Robust Package for Collaborative Decentralized Consequence-Finding. 7th International Symposium on Intelligent Distributed Computing, Sep 2013, Prague, Czech Republic. pp.103--108, ⟨10.1007/978-3-319-01571-2_13⟩. ⟨hal-01139231⟩