The multiply sectioned Bayesian network (MSBN) framework is the most studied approach for distributed Bayesian Network inference in an MAS setting. This paper describes a new fram...
The Distributed Probabilistic Protocol (DPP) is a new, approximate algorithm for solving Distributed Constraint Satisfaction Problems (DCSPs) that exploits prior knowledge to impr...
In this paper we present a formalism for symbolic negotiation. We regard symbolic negotiation as cooperative problem solving (CPS), which is based on symbolic reasoning and is ext...
Service coordination in domains involving temporal constraints and duration uncertainty has previously been solved with a greedy algorithm that attempts to satisfy service requests...
The Internet has evolved from an information space to a market space with thousands of electronic storefronts, auctions and other commercial services. This market space is not with...
Rosane Maria Martins, Magali Ribeiro Chaves, Luci ...