We investigate the amount of cooperation between agents in a population during reward collection that is required to minimize the overall collection time. In our computer simulati...
Designing realistic multi-agent systems is a complex process, which involves specifying not only the functionality of individual agents, but also the authority relationships and l...
Anthony Karageorgos, Simon G. Thompson, Nikolay Me...
Cooperative multiagent probabilistic inference can be applied in areas such as building surveillance and complex system diagnosis to reason about the states of the distributed unc...
Nearly all present-day commercial intrusion detection systems are based on a hierarchical architecture. Nodes at the bottom of the hierarchy collect information, which is passed t...
We present a novel method for predicting the secondary structure of a protein from its amino acid sequence. Most existing methods predict each position in turn based on a local wi...
Scott C. Schmidler, Jun S. Liu, Douglas L. Brutlag