Agent-based modeling (ABM) is a novel computational methodology for representing the
behavior of individuals in order to study social phenomena. Its use is rapidly growing in …

Along with the development of smart grids, the wide adoption of electric vehicles (EVs) is
seen as a catalyst to the reduction of CO 2 emissions and more intelligent transportation …

Research on optimization in multi-agent systems (MASs) has contributed with a wealth of
techniques to solve many of the challenges arising in a wide range of multi-agent …

Swarm intelligence (SI) is a collective behaviour exhibited by groups of simple agents, such
as ants, bees, and birds, which can achieve complex tasks that would be difficult or …

In the usual models of cooperative game theory, the outcome of a coalition formation
process is either the grand coalition or a coalition structure that consists of disjoint coalitions …

Coalition formation is a central problem in multiagent systems research, but most models
assume common knowledge of agent types. In practice, however, agents are often unsure of …

Cooperative packet delivery can improve the data delivery performance in wireless networks
by exploiting the mobility of the nodes, especially in networks with intermittent connectivity …

Abstract We introduce Bayesian Coalitional Games1 (BCGs), a generalization of classical
coalitional games to settings with uncertainties. We define the semantics of BCG using the …

The 5G network is an emerging field of the research community. 5G is a multi-disciplinary
network that aims to support a wide range of services. 5G network has an objective to …

Coalitional stability in hedonic games has usually been considered in the setting where
agent preferences are fully known. We consider the setting where agent preferences are …