San Francisco / Springer-Verlag / New York / Berlin / /
Company
Neural Networks / L. M. Gambardella A. E. / BT / Agent-Based Manufacturing / Multi-Agent Systems / MultiAgent Technologies / PSO / /
Country
Germany / Netherlands / Italy / Australia / / /
Facility
Delft University of Technology / Rundle Mall / University of Cambridge / Max Planck Institute / University of Birmingham / /
IndustryTerm
random search / distributed manufacturing / supply chain management / shared food source / manufacturing control / telecommunication networks / real world applications / typical solution / harmony search / selected non-food location / replenished food / above algorithm / update algorithm / neighbourhood best solutions / food sources / food / food consumption / food source / optimisation algorithms / ant colony optimisation algorithms / less available food / search space / Average food / emergent systems / /
Organization
Faculty of Technology / Policy and Management / Department of Engineering / Max Planck Institute for Evolutionary Anthropology / Delft University of Technology / Distributed Artificial Intelligence / University of Birmingham / Department of Linguistics / Department of Computer Science / University of Cambridge / Collective Intelligence / Politecnico di Milano / /
Person
Natural Algorithm / Edward Robinson / Andreas Ligtvoet / Tao Gong / Morgan Kaufmann / Chris Davis / /
Position
Scientist / central controller / special agent / /
ProvinceOrState
New York / /
PublishedMedium
New Scientist / /
Technology
above algorithm / ACO algorithm / two algorithms / pheromones / ant colony optimisation algorithms / Update Algorithm / load balancing / two optimisation algorithms / simulation / /
Distributed Control of Emergence: Local and Global Anti-Agent Strategies in Particle Swarms and Ant Colonies Alexandra Brintrup∗ , Tao Gong† , Andreas Ligtvoet‡ , Chris Davis‡ , Willem van Willigen§ and Edward R