— Due to enormous complexity of the unstructured peer-to-peer networks as large-scale, self-configure, and dynamic systems, the models used to characterize these systems are eit...
— In this paper, we present a novel approach to controlling a robotic system online from scratch based on the reinforcement learning principle. In contrast to other approaches, o...
This paper presents approaches for building, managing, and evaluating consensus ontologies from the individual ontologies of a network of socially interacting agents. Each agent h...
: This paper describes a knowledge model for a configuration problem in the domain of traffic control. The goal of this model is to help traffic engineers in the dynamic selection ...
This paper focuses on a framework for representing a team plan and its projections on individual agents. The team plan is represented with a coloured Petri net. Using the implicit...