no code implementations • 22 Mar 2021 • Antonio Bucchiarone, Antonio Cicchetti, Nelly Bencomo, Enrica Loria, Annapaola Marconi
In this paper we propose our vision on how the principles at the base of the autonomous and multi-agent systems can be exploited to design multi-challenge motivational systems to engage smart communities towards common goals.
no code implementations • 10 Aug 2020 • Philip Feldman, Antonio Bucchiarone
We compare the trajectories contained in the text generated by the agents/model and compare that to the known ground truth of the chess board, move legality, and historical patterns of play.
no code implementations • 27 Nov 2019 • Pawel Gomoluch, Dalal Alrajeh, Alessandra Russo, Antonio Bucchiarone
In this paper, we introduce a parametrized search algorithm template which combines various search techniques within a single routine.
no code implementations • 21 Jul 2017 • Pawel Gomoluch, Dalal Alrajeh, Alessandra Russo, Antonio Bucchiarone
Automated planning remains one of the most general paradigms in Artificial Intelligence, providing means of solving problems coming from a wide variety of domains.