We present an anytime multiagent learning approach to satisfy any given optimality criterion in repeated game self-play. Our approach is opposed to classical learning approaches fo...
A multi-agent VRP solver is presented in this paper. It utilizes the contract-net protocol based allocation and several improvement strategies. It provides the solution with the q...
This article describes a parallel and distributed machine learning approach to a basic variant of the job assignment problem. The approach is in the line of the multiagent learning...
The commonly used flaw hypothesis model (FHM) for performing penetration tests provides only limited, highlevel guidance for the derivation of actual penetration attempts. In thi...
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...