Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Rich Drewes"'
Publikováno v:
PLoS Computational Biology, Vol 4, Iss 7, p e1000126 (2008)
A commonly held view in evolutionary biology is that speciation (the emergence of genetically distinct and reproductively incompatible subpopulations) is driven by external environmental constraints, such as localized barriers to dispersal or habitat
Externí odkaz:
https://doaj.org/article/1292d651d3d646ac9d31a25d852d2350
Publikováno v:
Robotics and Autonomous Systems. 46:97-110
Robots with remote processing capabilities would be useful in hazardous or complex environments presenting weight and cost constraints. We implemented a novel robotic system that incrementally triangulates and navigates towards a speaking target. Thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::274359d705c195c3f117e314b38b518d
https://doi.org/10.1016/j.robot.2003.11.005
https://doi.org/10.1016/j.robot.2003.11.005
Publikováno v:
The 2003 Congress on Evolutionary Computation, 2003. CEC '03..
While previous work on case injected genetic algorithms has shown an improvement in solution quality and time to solution when solving a sequence of similar problems, we believe there has been no prior investigation of using case injection to intenti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54dbce9263a89bb43265f3805cb88d48
https://doi.org/10.1109/cec.2003.1299801
https://doi.org/10.1109/cec.2003.1299801
Publikováno v:
Genetic and Evolutionary Computation – GECCO 2004 ISBN: 9783540223443
GECCO (1)
GECCO (1)
We use case injected genetic algorithms to learn to competently play computer strategy games. Such games are characterized by player decision in anticipation of opponent moves and imperfect knowledge of game state. Within the broad goal of developing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::022616e9a5f806340083a7110cb45bf9
https://doi.org/10.1007/978-3-540-24854-5_130
https://doi.org/10.1007/978-3-540-24854-5_130
Publikováno v:
Genetic and Evolutionary Computation – GECCO 2004 ISBN: 9783540223443
GECCO (1)
GECCO (1)
Spiking neural networks are computationally more power- ful than conventional artificial neural networks (1). Although this fact should make them especially desirable for use in evolutionary autono- mous agent research, several factors have limited t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::480ccfe31f2ef13e3d1510d2c4aa7bf4
https://doi.org/10.1007/978-3-540-24854-5_25
https://doi.org/10.1007/978-3-540-24854-5_25
Autor:
Rich Drewes, Frederick C. Harris, J. G. King, J. Frye, M. C. Ripplinger, Philip H. Goodman, C. J. Wilson
Publikováno v:
Journal of Investigative Medicine. 52:S155.4-S155
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8d06614053152868c6158bc403acb8e
https://doi.org/10.1136/jim-52-suppl1-435
https://doi.org/10.1136/jim-52-suppl1-435
Autor:
Philip H. Goodman, Rich Drewes, C. J. Wilson, J. Frye, M. C. Ripplinger, Frederick C. Harris, J. G. King
Publikováno v:
Journal of Investigative Medicine. 52:155-155
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e06aa7734fef5d666e8e272b58e01cb8
https://doi.org/10.1177/108155890105201s435
https://doi.org/10.1177/108155890105201s435