Recently, several two-dimensional spiking neuron models have been introduced, with the aim of reproducing the diversity of electrophysiological features displayed by real neurons w...
This article develops a theoretical framework of distributed representations to explore the representational properties in group problem solving. The basic principle of distribute...
Agent description and discovery (ADD) is a critical infrastructure for open multi-agent services. As multi-agent systems grow larger and more diverse, it becomes harder to locate ...
Model-based software development is gaining interest in domains such as avionics, space, and automotives. The model serves as the central artifact for the development efforts (suc...
In this work, we explore how local interactions can simplify the process of decision-making in multiagent systems, particularly in multirobot problems. We review a recent decision-...