Adaptive Business Intelligence for an Open Negotiation Environment

SILVANA ACIAR; PAOLO AVESANI; JOSEP LLUIS DE LA ROSA I ESTEVA; NICOLÁS HORMAZÁBAL; ALESSANDRO SIERRA

Turquia

Conferencia; 3rd IEEE International Conference on Digital Ecosystems and Technologies : 2009 : DEST '09; 2009

Engineering of negotiation model allows to develop effective heuristic for business intelligence. Digital Ecosystems demand open negotiation models. To define in advance effective heuristics is not compliant with the requirement of openness. The new challenge is to develop business intelligence in advance exploiting an adaptive approach. The idea is to learn business strategy once new negotiation model rise in the e-market arena. In this paper we present how recommendation technology may be deployed in an open negotiation environment where the interaction protocol models are not known in advance. The solution we propose is delivered as part of the ONE Platform, open source software that implements a fully distributed open environment for business negotiation.