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Evolutionary robotics / Swarm robotics / Robot / Ant robotics / Cog / Swarm behaviour / Autonomous robot / Stefano Nolfi / Outline of robotics / Robotics / Artificial intelligence / Evolutionary computation


Re-Engineering Evolution: A Study In Self-Organising Synchronisation Vito Trianni and Stefano Nolfi Institute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy
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Document Date: 2015-06-25 07:37:58


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City

Berlin / Rome / Cambridge / Bradford / New York / /

Company

Emerging Technologies / SIAM Journal / Neural Networks / Autonomous Systems / MIT Press / Future / Hyperion Press / /

Country

Germany / Italy / Denmark / /

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Facility

Stefano Nolfi Institute of Cognitive Sciences / /

IndustryTerm

arbitrarily-chosen communication protocol / heterogeneous groups / multi-robotic systems / natural and artificial systems / wireless network / on-line self-organization / unsuccessful systems / swarm robotics systems / evolutionary algorithm / communication protocol / perceptron network / communication devices / robotic hardware / wireless communication abilities / possible solutions / larger search space / robotic systems / sub-optimal solutions / /

Organization

National Research Council / MIT / European Commission / Swarm Intelligence / Study In Self-Organising Synchronisation Vito Trianni and Stefano Nolfi Institute of Cognitive Sciences and Technologies / /

Position

neural controller / designer / non-scaling controller / robot controller / controller / evolved controller / /

ProvinceOrState

New York / Massachusetts / /

PublishedMedium

Scientific American / The Quarterly Review of Biology / IEEE Transactions on Evolutionary Computation / /

Region

East Asia / /

Technology

Technology of Self-Organizing Machines / neural network / evolutionary algorithm / arbitrarily-chosen communication protocol / communication protocol / simulation / genotype / Recombination / same communication protocol / /

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