We explore the computational power of networks of small resource-limited mobile agents. We define two new models of computation based on pairwise interactions of finite-state ag...
Dependency networks are a compelling alternative to Bayesian networks for learning joint probability distributions from data and using them to compute probabilities. A dependency ...
Multi-agent systems benefit greatly from an organization design that guides agents in determining when to communicate, how often, with whom, with what priority, and so on. However...
Huzaifa Zafar, Victor R. Lesser, Daniel D. Corkill...
Current network infrastructures are experiencing rapid transformation from providing mere connectivity, to a wider range of flexible network services with Quality of Service (QoS)....