Name
Abstract | ||
|---|---|---|
We propose a framework to compute the utility of an agreement w.r.t a preference set in a negotiation process. In particular, we refer to preferences expressed as weighted formulas in a decidable fragment of First-order Logic and agreements expressed as a formula. We ground our framework in Description Logics (DL) endowed with disjunction, to be compliant with Semantic Web technologies. A logic based approach to preference representation allows, when a background knowledge base is exploited, to relax the often unrealistic assumption of additive independence among attributes. We provide suitable definitions of the problem and present algorithms to compute utility in our setting. We also validate our approach through an experimental evaluation. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-04388-8_16 | SUM |
Keywords | Field | DocType |
decidable fragment,semantic web technology,experimental evaluation,agreement w,multiattribute negotiation,first-order logic,negotiation process,weighted description logics preference,description logics,preference representation,background knowledge base,additive independence,description logic,first order logic | Data mining,Computer science,Semantic Web,Description logic,Decidability,Artificial intelligence,Knowledge base,Machine learning,Negotiation | Conference |
Volume | ISSN | Citations |
5785 | 0302-9743 | 12 |
PageRank | References | Authors |
0.66 | 15 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Azzurra Ragone | 1 | 511 | 40.86 |
| Tommaso Di Noia | 2 | 1857 | 152.07 |
| Francesco M. Donini | 3 | 3481 | 452.47 |
| Eugenio Sciascio | 4 | 25 | 3.02 |
| Michael P. Wellman | 5 | 4715 | 757.80 |