Current business trends, policy markets, production requirements, etc., have created the need for integrating Multi Agent Systems (MAS). In the agent-specialized literature, we have found very little work about MAS methodologies that allow us to build MAS which is made up of two or more MASs. We think that several difficult challenges for automated systems can be tackled by giving full meaning ...

Multi agent Markov decision processes (MMDPs), as the generalization of Markov decision processes to the multi agent case, have long been used for modeling multi agent system and are used as a suitable framework for Multi agent Reinforcement Learning. In this paper, a generalized learning automata based algorithm for finding optimal policies in MMDP is proposed. In the proposed algorithm, MMDP ...

aphasia diagnosis is a challenging medical diagnostic task due to the linguistic uncertainty and vagueness, large number of measurements with imprecision, inconsistencies in the definition of aphasic syndromes, natural diversity and subjectivity in test objects as well as in options of experts who diagnose the disease. in this paper we present a new self-organized multi agent system that diagno...