Title
Logic-based automated multi-issue bilateral negotiation in peer-to-peer e-marketplaces
Abstract
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, and optimization techniques in order to find Pareto-efficient agreements. We introduce $${\mathcal{P}}({\mathcal{N}})$$ , a propositional logic extended with concrete domains, which allows one to model relations among issues (both numerical and non-numerical ones) via logical entailment, differently from well-known approaches that describe issues as uncorrelated. Through $${\mathcal{P}}({\mathcal{N}})$$ it is possible to represent buyer's request, seller's supply and their respective preferences as formulas endowed with a formal semantics, e.g., "if I spend more than 30000 驴 for a sedan then I want more than a two-years warranty and a GPS system included". We mix logic and utility theory in order to express preferences in a qualitative and quantitative way. We illustrate the theoretical framework, the logical language, the one-shot negotiation protocol we adopt, and show we are able to compute Pareto-efficient outcomes, using a mediator to solve an optimization problem. We prove the computational adequacy of our method by studying the complexity of the problem of finding Pareto-efficient solutions in our setting.
Year
DOI
Venue
2008
10.1007/s10458-008-9033-1
Autonomous Agents and Multi-Agent Systems
Keywords
Field
DocType
Electronic marketplaces,Knowledge representation,Utility theory,Ontologies,Logic languages Pareto efficiency
Ontology (information science),Knowledge representation and reasoning,Logical consequence,Peer-to-peer,Computer science,Warranty,Propositional calculus,Theoretical computer science,Optimization problem,Negotiation
Journal
Volume
Issue
ISSN
16
3
1387-2532
Citations 
PageRank 
References 
13
0.60
23
Authors
4
Name
Order
Citations
PageRank
Azzurra Ragone151140.86
Tommaso Di Noia21857152.07
Eugenio Di Sciascio31733147.71
Francesco M. Donini43481452.47