: This work presents a new hybrid neuro-fuzzy model for automatic learning of actions taken by agents. The main objective of this new model is to provide an agent with intelligence...
Karla Figueiredo, Marley B. R. Vellasco, Marco Aur...
This contribution presents a deployment exercise of multiagent technology in the domain of deconflicted air-traffic control among several autonomous aerial vehicles (manned as wel...
Distributed Multi-Agent Systems (DMAS) such as supply chains functioning in highly dynamic environments need to achieve maximum overall utility during operation. The utility from ...
Nathan Gnanasambandam, Seokcheon Lee, Soundar R. T...
Spiking neural networks are computationally more powerful than conventional artificial neural networks. Although this fact should make them especially desirable for use in evoluti...
Rich Drewes, James B. Maciokas, Sushil J. Louis, P...
The accelerated development in grid computing has positioned it as a promising next generation computing platform. It enables the creation of virtual organizations (VO) for sharin...
Arshad Ali, Fawad Nazir, Hamid Abbas Burki, Tallat...