We present a novel approach to knowledge-based automated oneshot multi-issue bilateral negotiation handling, in a homogeneous setting, both numerical features and non-numerical on...
Azzurra Ragone, Tommaso Di Noia, Eugenio Di Sciasc...
We consider multiple agents who's task is to determine the true state of a uncertain domain so they can act properly. If each agent only has partial knowledge about the domai...
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...
Selection of Commercial-off-The-Shelf (COTS) software products is a knowledge-intensive process. In this paper, we show how knowledge bases can be used to facilitate the COTS selec...
One of the most challenging aspects of reasoning, planning, and acting in a multi-agent domain is reasoning about what the agents know about the knowledge of their fellows, and to...
Chitta Baral, Gregory Gelfond, Tran Cao Son, Enric...