Progress in development of multi-agent control is reviewed. Different approaches for control, estimation, and optimization are discussed a systematic way with particular emphasis on the graph-theoretic perspective. Attention paid to design systems via Laplacian dynamics, as well role graph spectrum, challenges unbalanced digraphs, consensus-based estimation statistics. Some emergent issues, e.g...

The ability to create effective multi-agent organizations is key to the development of larger, more diverse multi-agent systems. In this article we present KBORG: a fully automated, knowledge-based organization designer for multi-agent systems. Organization design is the process that accepts organizational goals, environmental expectations, performance requirements, role characterizations, and ...

Agent technology has been recognized as a promising paradigm for next generation manufacturing systems. Researchers have attempted to apply agent technology to manufacturing enterprise integration, enterprise collaboration (including supply chain management and virtual enterprises), manufacturing process planning and scheduling, shop floor control, and to holonic manufacturing as an implementat...

Two independent methods for improving quality are engineering process control (EPC) and statistical process control (SPC). The first method tries to minimize variability by handling process variables so as to keep the outputs of the process on target. While the latter method, SPC does the same basic task of minimizing variability by supervising and eradicating the assignable causes of variation...

Recent advances in combining deep neural network architectures with reinforcement learning techniques have shown promising potential results in solving complex control problems with high dimensional state and action spaces. Inspired by these successes, in this paper, we build two kinds of reinforcement learning algorithms: deep policy-gradient and value-function based agents which can predict t...

In this paper we describe an adaptive, optimistic synchronisation mechanism for the parallel discrete event simulation of agent-based systems. The mechanism uses the Sphere of Influence (SoI) of an event (the region of the shared simulation state read or written to by the event) to define an adaptive metric which can be used with a throttling mechanism such as moving time windows. We show how s...