We investigate the design of iterative, limited-precision mechanisms for single-good auctions with dominant strategy equilibria. Our aim is to design mechanisms that minimize the ...
Abstract. A simulation-based tool is described which will be used to investigate how the actors in a transport chain are expected to act when different types of governmental contro...
Markus Bergkvist, Paul Davidsson, Jan A. Persson, ...
This paper presents a multiagent-system for integrating ALICE: a real-life, distributed, large-scale particle physics experiment of the LHC project at CERN. The work is concerned ...
Opponent modeling is a skill in multi-agent systems (MAS) which attempts to create a model of the behavior of the opponent. This model can be used to predict the future actions of ...
Intelligent software personal assistants for human organizations are an active research area within the multiagent community. However, while many capabilities for these software p...