Automated negotiation offers new capability for buyers and sellers to efficiently trade goods
and services in online markets. In high-dimensional real world negotiations, many agents …

We present a novel logic-based framework to automate multi-issue bilateral negotiation in e-
commerce settings. The approach exploits logic as communication language among agents …

Shapley's impossibility result indicates that the two-person bargaining problem has no non-
trivial ordinal solution with the traditional game-theoretic bargaining model. Although the …

We present a novel Fuzzy Description Logic (DL) based approach to automate matchmaking
in e-marketplaces. We model traders' preferences with the aid of Fuzzy DLs and, given a …

We present a semantic-based approach to multi-issue bilateral negotiation for e-commerce.
We use Description Logics to model advertisements, and relations among issues as axioms …

We propose a framework for multi-issue bilateral negotiation, where issues are expressed
and related to each other via Description Logics. Agents' goals are expressed through …

We present a novel Fuzzy Description Logic (DL) based approach to automate matchmaking
in e-marketplaces. We model traders' preferences with the aid of Fuzzy DLs and, given a …

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 …

This paper presents a logic-program-based mechanism of negotiation between two agents.
In this mechanism an extended logic program (ELP) is regarded as an agent. The …

We introduce a framework which is based on probabilistic Description logics (Prob-DL), to
represent and solve multi-criteria discrete alternative problems by calculating expected …