In an election held in a noisy environment, agents may unintentionally perturb the outcome by communicating faulty preferences. We investigate this setting by introducing a theore...
Ariel D. Procaccia, Jeffrey S. Rosenschein, Gal A....
The general aim of our work is to provide tools, methods and models to adaptive multi-agent systems designers. These systems consist in several interacting agents and have to optim...
The goal of autonomic computing is to create computing systems capable of managing themselves to a far greater extent than they do today. This paper presents Unity, a decentralize...
Gerald Tesauro, David M. Chess, William E. Walsh, ...
Imitation represents a powerful approach for programming and autonomous learning in robot and computer systems. An important aspect of imitation is the mapping of observations to ...
Many agents are fielded within environments requiring modeling traditional organizational structures such as military hierarchies and corporations, with their associated authority...
Marcus J. Huber, Sanjeev Kumar, David McGee, Sean ...