This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
The concepts of autonomous agent and multi-agent system appropriate levels of abstraction for the design, implementation and simulation of many complex, distributed computational s...
Michael Luck, Peter McBurney, Jorge Gonzalez-Palac...
In this paper, we present a multi-agent control method for a large-scale network system. We propose an extension of a token-based coordination technique to improve the tradeoff be...
This manuscript presents a design for the emergent generation of short-term forecasts in multi-agent coordination and control systems. Food foraging behavior in ant colonies const...
Paul Valckenaers, Karuna Hadeli, Bart Saint Germai...
Abstract. In this paper, we consider the problem of generating optimized, executable control code from high-level, symbolic specifications. In particular, we construct symbolic co...