Learn More
In a multi-agent system, agents are carrying out certain tasks by executing plans. Consequently, the problem of finding a plan, given a certain goal, has been given a lot of attention in the literature. Instead of concentrating on this problem, the focus of this paper is on cooperation between agents which already have constructed plans for their goals. By(More)
In a large distributed system it is often infeasible or even impossible to maintain a model of the whole system. Instead, several spatially distributed local models of the system have to be used to detect possible faults. Traditional diagnostic tools cannot handle such a set of spatially distributed local models. A Multi-Agent System of diagnostic agents,(More)
An important aspect of agents is how they construct a plan to reach their goals. Since most agents live in a dynamic environment, they also will often be confronted with situations in which the plans they constructed to reach their goals are no longer feasible. In such situations, agents have to change their plan to deal with the new environment. In this(More)
We introduce an algorithm for cooperative planning in multi-agent systems. The algorithm enables the agents to combine (fuse) their plans in order to increase their joint profits. A computational resources and skills framework is developed for representing the planned activities of an agent under time constraints. Using this resource-skill framework, we(More)
The paper analyzes the use of a Multi Agent System for Model Based Diagnosis. In a large dynamical system, it is often infeasible or even impossible to maintain a model of the whole system. Instead, several incomplete models of the system have to be used to detect possible faults. These models may also be physically be distributed. A Multi Agent System of(More)