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This coordination model uses a blackboard as the means of communication between the system agents.
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However, the issues stemming from these challenges are under scrutiny and investigation by the research community towards alternative directions (e.g. [39]), most notably situated intelligence which entails that the cognitive processes and behavior of a situated system should be the outcome of a close coupling between the system (agent) and the environment (user) (see [40]).
Interaction effects were also found between the status of the system agent and the valence of the agent's feedback.
Therefore, the interoperability between agents of the system and agents from many active heterogeneous FIPA compliant agent platforms can be ensured.
A new mechanism of interaction and cooperation between system agents is presented in the "Improving information management" section.
In this paper, we extend the work in [12] through adding new mechanism of interaction and cooperation between system agents.
Taking inspiration from battleground management, they propose a communication protocol between IDS (Intrusion Detection System) agents distributed through the network, with a master controlling their behavior.
The interactions between the multi-agent system and the environment at each time instant t consist of the following sequence.
Three types of agents – distribution system agent, estimator agent, and control agent are developed within the multi-agent framework.
To reduce complexity, we first construct a simple abstract system to guide the agents, then we discuss the simulation relations between the abstract system and multiple agents.
The control of each agent using local information is designed and detailed analysis of the leader-following consensus is presented for both fixed and switching interaction topologies, which describe the information exchange between the multi-agent systems.
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