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In this paper a novel mechanism for acquiring shared symbols in multi-agent cooperative task is introduced. Inspired by human communication, a technique is suggested in which learning the behaviors and learning how to communicate are decomposed. Decomposing the shared symbol acquisition into two separate learning phases not only simplifies the learning algorithm but also it speeds up the process....
This research is an attempt to design and develop behaviors for a group of robots to handle an object. A new approach to develop an object pushing system with a large group of mobile robots is introduced. The behaviors are devised in such a way that the robots would easily develop a swarm formation around the object and push it toward the desired goal. A rotating orbit of robots around the object...
Learning in multi-agent environments where each agent's action directly affects other agents would be an important matter and a complicated task. To reduce the learning time and simplifying the learning process, it is suitable to learn individual skills and then provide cooperation and coordination utilizing the learned individual skills. In the approach proposed in this paper, agents benefit from...
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