This paper proposes an approach to the solution of multi-objective optimisation problems that delivers a single, preferred solution. A conventional, population-based, multiobjectiv...
We investigate search problems under risk in statespace graphs, with the aim of finding optimal paths for risk-averse agents. We consider problems where uncertainty is due to the...
We investigate the combination of answer set programming and qualitative optimization techniques. Answer set optimization programs (ASO programs) have two parts. The generating pr...
We propose a new proxy bidding mechanism to allocate courses to students given students' reported preferences. Our mechanism is motivated by a specific strategic downgrading m...
Scott Duke Kominers, Mike Ruberry, Jonathan Ullman
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 ...
Azzurra Ragone, Umberto Straccia, Fernando Bobillo...