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HIS
2004
14 years 11 months ago
Reinforcement Learning Hierarchical Neuro-Fuzzy Politree Model for Control of Autonomous Agents
: 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...
ATAL
2006
Springer
14 years 11 months ago
Autonomous agents for air-traffic deconfliction
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...
Michal Pechoucek, David Sislák, Dusan Pavl&...
ATAL
2005
Springer
15 years 3 months ago
An autonomous performance control framework for Distributed Multi-Agent Systems: a queueing theory based approach
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...
GECCO
2004
Springer
212views Optimization» more  GECCO 2004»
15 years 3 months ago
An Evolutionary Autonomous Agent with Visual Cortex and Recurrent Spiking Columnar Neural Network
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...
IADIS
2004
14 years 11 months ago
Moginma: an autonomous grid node monitoring agent
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...