Back to Results
First PageMeta Content



The Sensitivity of HyperNEAT to Different Geometric Representations of a Problem Jeff Clune Charles Ofria
Add to Reading List

Document Date: 2013-02-07 15:36:05

Open Document

File Size: 3,53 MB

Share Result on Facebook

City

Québec / New York / Trondheim / Portland / /

Company

Neural Networks / AAAI Press / Compositional Pattern Producing Networks / IEEE Press / HyperNEAT / Evolving Large-Scale Neural Networks / /

Country

Germany / Norway / United States / Canada / /

Currency

USD / /

/

IndustryTerm

evolutionary algorithm / food sensors / evolutionary algorithms / food / collected food / function networks / directed graph network / phenotypic solutions / search space / /

Organization

Michigan State University / National Science Foundation / Templeton Foundation / Congress / US Federal Reserve / /

Person

Benjamin Beckmann / Bradford Book / Ken Stanley / Robert T. Pennock / Jeff Clune Charles Ofria Robert / /

Position

human engineer / General / designer / PID controller / naïve engineer / forward / controller / /

ProvinceOrState

Oregon / /

PublishedMedium

Lecture Notes in Computer Science / /

Technology

Technology of Self-Organizing Machines / 3-d / evolutionary algorithm / machine learning / NEAT algorithm / machine vision / artificial intelligence / one algorithm / /

URL

www.ode.org / www.picbreeder.org / http /

SocialTag