The paper presents the Multi Agent System (MAS) designed for the large scale parallel computations. The special kind of diffusionbased scheduling enables to decompose and allocate...
Maciej Smolka, Piotr Uhruski, Robert Schaefer, Mar...
Communication is the key feature of Multi-agent Systems. The interactions among components of a system may take many distinct forms of increasing complexity such as in auctions, n...
: A growing demand for distributed and decentralized software, together with an increasing inherent complexity of these systems challenges traditional software engineering practice...
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is that...
In many multi agent learning problems, it is difficult to determine, a priori, the agent reward structure that will lead to good performance. This problem is particularly pronoun...