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Moreover, the algorithm is decentralized, requires no communication between the agents, has minimal memory requirements, and can reflect variations in the computational speeds of the agents.
In this paper we investigate the problem of optimal games played over networks and focus our attention on the importance of the topology of communication between the agents.
Communication between the agents is carried out using the resources contributed by the system's middleware.
1) Agents implemented as one Java thread Java events are used for communication between the agents on same host.
The aim is to improve the local classification result by a combination of local processing and communication between the agents.
In the real world it could produce complex, seemingly intelligent structures, without the need for any planning, control, or even direct communication between the agents.
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Meanwhile, only the communication between the agent and its local neighbors is needed, therefore, the designed control is essentially distributed.
Moreover, in order to realize the consensus control for multi-agent systems, only the communication between the agent and its local neighbors is needed, therefore, the designed control is essentially distributed.
The lower layer is the underlying P2P communication layer to support communications between the agents.
For the D3GPSO, we distinguish also a mediator agent to manage the communication between the species agents.
The first level, known as the Infrastructure Level, provides the basic communication resources between the agents.
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