This paper presents MADeM, a multi-modal agent decision making to provide virtual agents with socially acceptable decisions. We consider multi-modal decisions as those that are ab...
Francisco Grimaldo, Miguel Lozano, Fernando Barber
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Many advertisers (bidders) use Internet systems to buy advertisements on publishers' webpages or on traditional media such as radio, TV and newsprint. They seek a simple, onl...
Florin Constantin, Jon Feldman, S. Muthukrishnan, ...
A common objective in mechanism design is to choose the outcome (for example, allocation of resources) that maximizes the sum of the agents' valuations, without introducing in...
Krzysztof R. Apt, Vincent Conitzer, Mingyu Guo, Ev...
Current technological developments and application-driven demands are bringing us closer to the realization of autonomous multirobot systems performing increasingly complex missio...