java

Feb 2018

Agent based systems coupled with machine learning algorithms

Current on-going research focusing on unsupervised learning algorithms in order to classify and cluster behavioral inputs and integrate them within the design process, as a form-finding phase through a non-linear morph of behavior parameters.

AGENT BASED SYSTEMS COUPLED WITH MACHINE LEARNING ALGORITHMS

Self-organizing maps (SOM) are used here, (SOM represents a type of unsupervised artificial neural network), to reduce the high dimensionality of the data whilst also retain the high-dimensional non-linear associations. As SOMs can create associations between inputs, the map can suggest an overview of possibilities within the given parameter space, without the need of manually tweaking the system’s parameters by the designer.

The selected 8 models are used as inputs for the SOM. The resulting map creates an interpolation between inputs and creates a location rule, placing similar models closer on the map while placing further apart dissimilar models.

AGENT BASED SYSTEM TRACE FOLLOW BEHAVIOR PARAMETERS

VIEW ANGLE

COHESION MAGNITUDE

COESHION VIEW RANGE

SEPARATION MAGNITUDE

SEPARATION VIEW RANGE

FIELD MIN INTENSITY

FIELD MAX INTENSITY

STEP MAGNITUDE

OVERALL SYSTEM LENGTH

COLOR START

COLOR END

BEHAVIOR PARAMETERS INFLUENCE DISTRIBUTION

K-mean clustering is used here to analyze parameter distributions on the self-organizing map (SOM), and help cluster and classify insightful behavioral patterns, and quantify the influence each has on the outcome.

#java #python #tensorflow #som #unsupervisedlearning #multiagentalgorithms #behavior

GPGPU – Agent bodies facade

Investigations into agent bodies algorithms, and behavioral algorithms, where gradients and levels of differentiation are not predefined but rather a result of emergence.
#GPGPU #Stigmergy #Java #agentbodies #selforganization #JCuda #sematectonicFields nonstandardstudio

more description soon…

There were 2xNVidia GTX780Ti used in this study, having in total a combined 5760 CUDA 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

Agent Morphologies

Supercomputing (GPGPU) – Stigmergy systems

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 i7-4960X @ 3.60GHz 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

Swarm bodies : java+jcuda

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

Stigmergic Morphologies

an ongoing exploration of stigmergy systems where the agents interact with their own pheromone traces and control local dynamic information to influence and adjust larger urban life-processes by embedding intelligence into the formation, organization, and performance of urban spaces.