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Towards a Fuzzy Logic for Automated Multi-issue Negotiation

Azzurra RagoneContact Information, Umberto StracciaContact Information, Tommaso Di NoiaContact Information, Eugenio Di SciascioContact Information and Francesco M. DoniniContact Information

(1)  SisInfLab, Politecnico di Bari, Bari, Italy
(2)  ISTI-CNR, Pisa, Italy
(3)  Università della Tuscia, Viterbo, Italy
Abstract
We present a novel logic-based approach to automate multi-issue bilateral negotiation in e-marketplaces. In such frameworks issues to negotiate on can be multiple, interrelated, and may not be fixed in advance. We use logic to model relations among issues and to allow agents express their preferences on them. In particular, we introduce the logic $\mathcal{P(N)}$ , a fuzzy propositional logic extended with concrete domains in order to handle numerical, as well as non numerical features, and to deal with vagueness in buyer/seller preferences. Hence, agents can express preferences as e.g., I am searching for a passenger car costing about 25000€ yet if the car has a GPS system and more than two-year warranty I can spend up to 28000€.
We illustrate the theoretical framework, the logical language, the protocol we adopt and show that using a mediator with a proactive behavior we can compute Pareto-efficient agreements.

Contact Information Azzurra Ragone
Email: a.ragone@poliba.it

Contact Information Umberto Straccia
Email: straccia@isti.cnr.it

Contact Information Tommaso Di Noia
Email: t.dinoia@poliba.it

Contact Information Eugenio Di Sciascio
Email: disciascio@poliba.it

Contact Information Francesco M. Donini
Email: donini@unitus.it
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Referenced by
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  1. Schewe, Klaus-Dieter (2008) Customising Web Information Systems According to User Preferences. World Wide Web
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