Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...
As third party logistic services become popular, the role of software agents increases in importance in terms of the logistics scheduling of buyers and sellers. To support many mo...
—In this paper we propose a multi-agent approach for traffic-light control. According to this approach, our system consists of agents and their world. In this context, the world ...
We present a novel cognitive agent architecture and demonstrate its effectiveness in the Sense and Respond Logistics (SRL) domain. Effective applications to support SRL must antic...
Kshanti A. Greene, David G. Cooper, Anna L. Buczak...
Conventional network management is based on SNMP and often run in a centralized manner. Although the centralized management approach gives network administrators a flexibility of ...