Markov Decision Process for Group Advise
The University of Haifa - Bruno Kessler Foundation Collaboration
The University of Haifa - Bruno Kessler Foundation Collaboration
Collaboration Coordinators
Collaboration Coordinators
Prof. Martin C. Golumbic (CRI)
Prof. Martin C. Golumbic (CRI)
Prof. Oliviero Stock (Bruno Kessler Foundation)
Prof. Oliviero Stock (Bruno Kessler Foundation)
Researcher in Israel:
Claudia Goldman-Shenhar
The goal of this work is to define the theoretical basis that can help extend the PEACH technology for museum visits, based on a Markov decision process approach. In order to promote interaction among visitors coming to a museum in a group, a decentralized recommender system is needed. The research is aimed at studying decision-theoretic planning for groups under time constraints with possibly conflicting goals. Algorithms are designed that will be able to recommend actions to a group of people visiting a museum taking into account time constraints imposed on the group, different priorities of the visitors and uncertainty in the environment.