In now multi-agent systems, the underlying networks are always dynamic and the network topologies are always changed in the operation. Therefore, the coordination of agents shall be adjusted for the dynamic network topology. Aiming at the dynamics of underlying network topology, a novel adaptive multi-agents coordination model is explored in this paper. In the paper, a series of algorithms for ...

The Java-based Agent Framework for Multi-Agent Systems (JAFMAS) provides a generic methodology for developing speech-act based multiagent systems (MAS) along with a set of classes to support implementing these agents in Java. The methodology follows five stages: (i) agent identification, (ii) definition of each agent’s conversations, (iii) determining the rules governing each agent’s conversati...

Magicicada is the genus of periodical cicadas which display a unique combination of long life cycles, periodicity, and mass emergences. Their nymphs live underground and stay immobile before constructing an exit tunnel in the spring of their 13th or 17th year, depending on the species. Once out, the adult insects live only for a few weeks with one sole purpose: reproduction. Both 13 and 17 are ...

In this paper, we propose to guide reinforcement learning (RL) with expert coordination knowledge for multi-agent problems managed by a central controller. The aim is to learn to use expert coordination knowledge to restrict the joint action space and to direct exploration towards more promising states, thereby improving the overall learning rate. We model such coordination knowledge as constra...

There are many problems in construction process, such as fragmentation, budget overrun, time overrun and high waste, most of which are supply chain problems and often caused by the lack of coordination and information sharing across organizations in the supply chains. Supply chain coordination (SCC) is a critical success factor for the application of supply chain management to effectively impro...