GPGPU – Sematectonic Fields – Smart Agent Bodies
The study explores the idea of agent bodies where the body of the agent is defined by a mesh geometry capable of reacting to different stimuli. The agent body has its own behavioral rules, that determine the way it will interact and connect with other neighbors’ bodies.
There are two levels of interactions, therefore, the interaction between agents, and interactions between agent bodies. The bodies are intelligent enough to be able to adapt to local conditions, interactions. Their perception and memory are not only self-gathered but also inherited from the agent swam. Series of smart agent bodies start to snap, interact and connect to each other giving rise to emergent gradient patterns, and intense levels of differentiation.
Because of the high amount of agents, and interactions involved, and to satisfy the required computational power, necessary for these sorts of processes, swarm algorithms adapted for GPGPU were deployed.
There were 2xNVidia GTX780Ti used in this study, having in total a combined 5760CUDA cores (2880 each), running on a machine 2 x Intel Core i7-4930k @ 3.40GHz and Corsair DOMINATOR Platinum Series 64GB DDR4 DRAM 2800MHz.
References:
[1]Emergence: The Connected Lives of Ants, Brains, Cities, and Software by Steven Johnson
[2]The Myth of the Framework: In Defense of Science and Rationality by Karl Popper
[3] Bonabeau E., M. Dorigo, G. Théraulaz. Swarm Intelligence: From Natural to Artificial System s. Santa Fe Institute in the Sciences of the Complexity, Oxford University Press, New York, Oxford, 1999.
[4] Chialvo, Dante R., Millonas, Mark M. “How Swarms Build Cognitive Maps” . In Luc Steels (Ed.), The Biology and Technology of Intelligent Autonomous Agents , (144) pp. 439-450, NATO ASI Series, 1995.
[5] Vitorino Ramos, Filipe Almeida, Artificial Ant Colonies in Digital Image Habitats – A Mass Behaviour Effect Study on Pattern Recognition, Proceedings of ANTS’2000 – 2nd International Workshop on Ant Algorithms (From Ant Colonies to Artificial Ants), Marco Dorigo, Martin Middendorf & Thomas Stüzle (Eds.), pp. 113 – 116, Brussels, Belgium, 7 – 9 Sep. 2000.
US equivalent
GPU: 2xNVidia GTX780Ti
CPU: 2 x Intel Core i7-4930k @ 3.40GH
RAM: Corsair DOMINATOR Platinum Series 64GB DDR4 DRAM 2800MHz
References:
[1]Emergence: The Connected Lives of Ants, Brains, Cities, and Software by Steven Johnson
[2]The Myth of the Framework: In Defense of Science and Rationality by Karl Popper
[3] Bonabeau E., M. Dorigo, G. Théraulaz. Swarm Intelligence: From Natural to Artificial System s. Santa Fe Institute in the Sciences of the Complexity, Oxford University Press, New York, Oxford, 1999.
[4] Chialvo, Dante R., Millonas, Mark M. “How Swarms Build Cognitive Maps” . In Luc Steels (Ed.), The Biology and Technology of Intelligent Autonomous Agents , (144) pp. 439-450, NATO ASI Series, 1995.
[5] Vitorino Ramos, Filipe Almeida, Artificial Ant Colonies in Digital Image Habitats – A Mass Behaviour Effect Study on Pattern Recognition, Proceedings of ANTS’2000 – 2nd International Workshop on Ant Algorithms (From Ant Colonies to Artificial Ants), Marco Dorigo, Martin Middendorf & Thomas Stüzle (Eds.), pp. 113 – 116, Brussels, Belgium, 7 – 9 Sep. 2000.
