---
title: "Scalability Study of Peer-to-Peer Consequence Finding"
authors:
  - "Philippe Adjiman"
  - "Philippe Chatalic"
  - "François Goasdoué"
  - "Marie-Christine Rousset"
  - "Laurent Simon"
doi: ""
url: "https://ijcai.org/proceedings/2005/135"
pdf: "https://ijcai.org/proceedings/2005/0135.pdf"
venue: "Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence"
year: 2005
pages: "351-355"
track: ""
keywords:
---

# Scalability Study of Peer-to-Peer Consequence Finding

Philippe Adjiman, Philippe Chatalic, François Goasdoué, Marie-Christine Rousset, Laurent Simon

*Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence*, pages 351-355.

## Abstract

In peer-to-peer inference systems, each peer can reason locally but also solicit some of its acquaintances, sharing part of its vocabulary. This paper studies both theoretically and experimentally the problem of computing proper prime implicates for propositional peer-to-peer systems, the global theory (union of all peer theories) of which is not known (as opposed to partition-based reasoning).