—Large-scale agent-based systems are required to self-optimize towards multiple, potentially conflicting, policies of varying spatial and temporal scope. As a result, not all ag...
Provision of services within a virtual framework for resource sharing across institutional boundaries has become an active research area. Many such services encode access to compu...
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Behaviors in soccer-agent domains can involve individual plays, several players involved in tactical plays or the whole team trying to follow strategies supported by specific form...
We consider the model of population protocols introduced by Angluin et al. [2], in which anonymous finite-state agents stably compute a predicate of their inputs via twoway inter...