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Design Space Explorer – Multi-agent Systems

Design Space Explorer – Multi-agent Systems

This approach represents a shift from the idea of design as an output to the idea of design as multiple outputs, designer engaging into a process of selection.

The role of Creativity in this design process is to define the constraints that generate a range of possible solutions for a design problem, and define and develop strategies and effective methods of filtering and evaluating possible solutions.

It’s no more a question of defining the ideal design, but rather of reviewing the entire design space of possible sample outcomes, selecting and enhancing the best solution.

(P.S. this is a w.i.p strategy)
#creativeAi #neuralnetworks #multiagentsystems #designspaceexplorer #nonstandardstudio

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DATE Oct 2018 CATEGORY Project's
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nonstandardstudio - deep learning, creative ai, generative algorithms, genetic algorithms, parametric design, advanced computational design, architectureDEEP LEARNING Research augmented creativity design space explorer 3d domain translations Computer vision generative adversarial networks neural networks MACHINE LEARNING dimensionality reduction ADVANCED Computational Design genetic algorithms generative algorithms AGENT BASED SYSTEMS multi-agent systems structural encoded agents
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nonstandardstudio - deep learning, creative ai, generative algorithms, genetic algorithms, parametric design, advanced computational design, architecture
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