Abstract. Taxonomies in the area of Multi-Agent Systems (MAS) classify problems according to the underlying principles and assumptions of the agents’ abilities, rationality and i...
In this paper, we introduce a probabilistic relational data model as the basis for developing multi-agent probabilistic reasoning systems. Since our model subsumes the traditional...
As the complexity of computing systems steadily increases, self-managing systems – as Autonomic Computing Systems (ACS) proposed by IBM – are an adequate approach to minimize ...
This paper presents a novel approach to design and develop an assembly and execution shell for multiagent applications based on the concept of a mission. A mission is a live evolv...
Glenn T. Jayaputera, Arkady B. Zaslavsky, Seng Wai...
Abstract. This paper presents a framework that enables autonomous agents to dynamically select the mechanism they employ in order to coordinate their inter-related activities. Adop...
Rachel A. Bourne, Cora B. Excelente-Toledo, Nichol...