Multi-agent reinforcement learning (MARL) is an important way to realize multi-agent
cooperation. But there are still many challenges, including the scalability and the uncertainty …

An approach of mobile multi-agent pursuit based on application of self-organizing feature
map (SOFM) and along with that reinforcement learning based on agent group role …

The multi-agent collaborative hunting problem is a typical problem in multi-agent
coordination and collaboration research. Aiming at the multi-agent hunting problem with …

Industrial systems are of great importance in our daily life. They are, generally characterized
by a huge number of interacting elements. Some of them are critical and cannot be stopped …

In the existing literature, many methods have been utilized in solving the pursuit evasion
game. However, most of these methods have one thing in common: all pursuers have to …

Game Theory is a promising approach to acquire coalition formations in multiagent systems.
This paper is focused on the importance of the distributed computation and the dynamic …

Accepted: 25 January 2021 Industrial systems become more and more complex. This
complexity is due to the great number of elements that compose them and their interactions …

Multi-agent Systems (MAS) often needs to pursue a common goal and in order to achieve
that they need to make an effective formation. An approach for coalition formation of multi …

Coalition formation algorithms based on organizational modeling frameworks can be
considered as the earliest approaches applied to the Pursuit-Evasion problem. In this paper …

While many companies have agreed on business process management to deal with the
collaborative and transversal activities, research efforts remain in premature junctures where …