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...

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 ...

Many multi-agent coordination problems can be understood as autonomous local choices between a finite set of options, with each local choice undertaken simultaneously without explicit coordination between decision-makers, and with a shared goal of achieving a desired global state or states. Examples of such problems include classic consensus problems between nodes in a distributed computer netw...

What is relevant for the effectiveness of a multi-agent system is the model of the interaction between agents, rather than their peculiar internal model. The design of a single agent architecture should then concentrate on agent observable behaviour and on its interface towards the outside. A multi-agent architecture should then be designed around the choice of a suitable coordination model, ac...

A multi-agent planning problem consists of a set of activities that need to be planned by several agents. Here, plan coordination methods play an important role, since the independently generated plans by different agents can lead to an infeasible joint solution. We study one particular plan coordination approach, called coordination-by-design, which allows each agent to make its own plan compl...

We examine an approach to multi-agent coordination that builds on earlier work on enabling single agents to control their reasoning in dynamic environments. Specifically, we study a generalization of the filtering strategy. Where single-agent filtering means tending to bypass options that are incompatible with an agent's own goals, multi-agent filtering means tending to bypass options that are ...

There are many problems in construction process, such as fragmentation, budget overrun, time overrun and high waste, most of which are supply chain problems and often caused by the lack of coordination and information sharing across organizations in the supply chains. Supply chain coordination (SCC) is a critical success factor for the application of supply chain management to effectively impro...

Abstract The Coalition Formation with Spatial and Temporal constraints Problem (CFSTP) is a multi-agent task allocation problem where the tasks are spatially distributed, deadlines workloads, number of agents typically much smaller than tasks. To maximise completed tasks, may have to schedule coalitions. state-of-the-art CFSTP solver, Look-Ahead (CFLA) algorithm, has two main limitations. First...