In this paper, multi-agent simulation is applied to explore how people organize themselves when they have to perform a task. The multi-agent model that we used is based on the formalization of psychological and organizational theories. Three experiments are presented in which multi-agent simulation is being used to study processes of self-organization. This article is structured as follows. Fir...

We propose to develop a framework for agent-based electronic markets (e-markets) for project supply chain coordination, where subcontractors interact and transact with other subcontractors within supply-chain networks with the assistance of software agents. The e-markets for project supply chain coordination complements our agent-based project schedule coordination framework by applying the adv...

Multi-agent coordination is essential to success in the robot soccer domain. This paper outlines the UQ RoboRoos entry in RoboCup ’98 and provides details of the multi-robot coordination system. The system is based on the superposition of potential fields. A control study shows that the RoboRoos improve their performance by over 100% with the addition of the coordination

Traditional planning has been explored in depth. Most research is concentrated at a high level, e.g., developing coordination interaction protocols to be imposed on agents. There has been less concern about how the internal task structures of individual agents affect these higher-level coordination behaviors. When involving multiple participants, collaborative planning has been facing problems ...

With the rapid progress of modern science and technology, robots’ development and application extend ceaselessly. For different tasks and environment, especially to large complex tasks and environment, the problems of capability limitation of single robot become more and more obvious, such as information gathering and processing, controlling and so on. Therefore, the multi-robot coordination an...

Coordination among multiple autonomous, distributed cognitive agents is one of the most challenging and ubiquitous problems in Distributed AI and its applications in general, and in collaborative multi-agent systems in particular. A particularly prominent problem in multi-agent coordination is that of group, team or coalition formation. A considerable majority of the approaches to this problem ...