Mobile IP is a common standard to support global mobility of mobile hosts (MHs). One of the major problems for the Mobile IP is frequent location update and high signaling overhea...
To facilitate the design of large-scale, self-adaptive systems, we have developed the Port-Based Adaptable Agent Architecture. This distributed, multiagent architecture allows syst...
Kevin R. Dixon, Theodore Q. Pham, Pradeep K. Khosl...
Adaptation is an essential requirement for self–organizing multi–agent systems functioning in unknown dynamic environments. Adaptation allows agents, e.g., robots, to change th...
The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments such as RoboCup competitions since othe...
Abstract. We adopt the Markov chain framework to model bilateral negotiations among agents in dynamic environments and use Bayesian learning to enable them to learn an optimal stra...