This paper proposes decentralized resource-aware coordination schemes for solving network optimization problems defined by objective functions which combine locally evaluable costs with network-wide coupling components. These methods are well suited a group of supervised agents trying to solve an problem under mild requirements. Each agent has information on its local cost and coordinates the s...

Communication is a key element in applying multi-agent reinforcement learning to wide range of real-world scenarios. We focus on optical wireless communication (OWC), which practical solution be used various real situations where radio not available, such as underwater or lot noise environment. OWC method communicating only with other agents visual using light, unlike wave like mostly assumed e...

Much of agent system development to date has been done on an ad hoc basis. These problems limit the extent to which “industrial applications” can be built using agent technology, as the building blocks, reusable techniques, approaches and architectures have either not been exposed or have not yet been fully elaborated. In the mid 80’s, supporters of object-oriented technology had similar proble...

In many domains, intelligent agents must coordinate their activities in order for them to be successful both individually and collectively. Over the last ten years, research in distributed arti cial intelligence has emphasized building knowledge-lean systems, where coordination emerges either from simple rules of behavior or from a deep understanding of general coordination strategies. In this ...

This paper presents an application of software agents in a specific engineering problem: multitarget surveillance with several cameras sensing a closed environment. Each agent controls a camera, and from the coordination of them will emerge an improvement of the global surveillance task. Agents emulate human camera operators and, therefore human-like reasoning and human-like communication is pu...

The effective and reliable coordination of agent activities is a momentous problem for Multi–Agent System (MAS) developers. Particularly challenging is the decentralized coordination of agents that enables systems to exhibit self–organization. Natural phenomena typically serve as design metaphors and developers apply Decentralized Coordination Mechanisms (DCMs) that have been inferred from biol...