Overlapping Coalition Formation and its Connections to Machine Learning

Georgios Chalkiadakis - Technical University of Crete (TUC)
Data e ora
mercoledì 9 maggio 2018 alle ore 15.00 - Sala verde
Referente esterno
Data pubblicazione
27 aprile 2018


Overlapping Coaltion Formation (OCF) is a relatively new paradigm that removes a restrictive assumption from the usual models studied in cooperative game theory, namely the assumption that agents can belong to
only one coalition at a time. Regardless, until recently the problem of uncertainty in OCF settings had been disregarded, with the focus being on studying rational behaviour from a traditional game-theoretic perspective. In this talk, I will present two recent works that initiate the study of uncertainty in OCF environments, via the computiation of probability bounds and the use of unsupervised learning techniques (in particular: probabilistic topic modelling) to enable rational agents’ decision making
in these complex domains.

This is joint work with my student Michalis Mamakos. Related papers:
1. *Probability Bounds for Overlapping Coalition Formation. *In Proc. of the 26th International Joint Conference on Artificial Intelligence (*IJCAI-2017*), Melbourne, Australia, August 2017. http://www.intelligence.tuc.gr/~gehalk/Papers/boundsocf.pdf
2. *Overlapping Coalition Formation via Probabilistic Topic Modeling. *In Proc. of the 17th Int. Conf. on Autonomous Agents and Multiagent Systems (*AAMAS-2018*), Stockholm, Sweden, July 2018. https://arxiv.org/pdf/1804.05235.pdf

Contact person: Alessandro Farinelli

© 2002 - 2021  Universit√† degli studi di Verona
Via dell'Artigliere 8, 37129 Verona  |  P. I.V.A. 01541040232  |  C. FISCALE 93009870234