In this paper we investigate distributed computation in dynamic networks in which the network topology changes from round to round. We consider a worst-case model in which the com...
Computational models of motivation are tools that artificial agents can use to autonomously identify, prioritize, and select the goals they will pursue. Previous research has focu...
Voting (or rank aggregation) is a general method for aggregating the preferences of multiple agents. One important voting rule is the Slater rule. It selects a ranking of the alte...
Game-theoretic solution concepts, such as Nash equilibrium, are playing an ever increasing role in the study of systems of autonomous computational agents. A common criticism of N...
Felix Brandt, Markus Brill, Felix A. Fischer, Paul...
Secure multiparty computation (MPC) allows a set of n players to compute any public function, given as an arithmetic circuit, on private inputs, so that privacy of the inputs as we...