نتائج البحث - "Paolo Pagliuca"

المصدر: PLoS ONE, Vol 14, Iss 3, p e0213193 (2019)
PLoS ONE
PloS one 14 (2019): 1–27. doi:10.1371/journal.pone.0213193
info:cnr-pdr/source/autori:Pagliuca P.; Nolfi S./titolo:Robust optimization through neuroevolution/doi:10.1371%2Fjournal.pone.0213193/rivista:PloS one/anno:2019/pagina_da:1/pagina_a:27/intervallo_pagine:1–27/volume:14

مصطلحات موضوعية: FOS: Computer and information sciences, Computer science, robustness, 02 engineering and technology, 010501 environmental sciences, 01 natural sciences, Animal Cells, 0202 electrical engineering, electronic engineering, information engineering, Neurons, Motor Neurons, Multidisciplinary, Neuroevolution, Artificial neural network, Applied Mathematics, Simulation and Modeling, Process (computing), Computer Science - Neural and Evolutionary Computing, Robust optimization, Swarm behaviour, Robotics, Physical Sciences, Engineering and Technology, Medicine, 020201 artificial intelligence & image processing, Cellular Types, Robots, Algorithms, Research Article, Optimization, Mathematical optimization, Computer and Information Sciences, Evolutionary Processes, Neural Networks, Science, Research and Analysis Methods, evolvability, Evolution, Molecular, Computational Techniques, Neural and Evolutionary Computing (cs.NE), 0105 earth and related environmental sciences, Evolutionary Biology, Mechanical Engineering, Biology and Life Sciences, Cell Biology, Models, Theoretical, Cellular Neuroscience, Gene-Environment Interaction, Neural Networks, Computer, Evolutionary Algorithms, Evolutionary Computation, Mathematics, Neuroscience

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15f4b86deb78df7d79120c90e8b0983e
https://doaj.org/article/ae6f3d8fc16341e58a149b4adf9df93d

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8

Integrating learning by experience and demonstration in autonomous robots

المؤلفون: Stefano Nolfi, Paolo Pagliuca

المصدر: Adaptive Behavior. 23:300-314

مصطلحات موضوعية: Computer science, Process (engineering), Active learning (machine learning), business.industry, Scalar (physics), Experimental and Cognitive Psychology, Mobile robot, Autonomous robot, Machine learning, computer.software_genre, Robot learning, Measure (mathematics), Behavioral Neuroscience, Robot, Artificial intelligence, business, computer

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::174e86dc55e825a6ea190c245afc7bae
https://doi.org/10.1177/1059712315608424

9

Maximizing adaptive power in neuroevolution

المؤلفون: Paolo Pagliuca, Nicola Milano, Stefano Nolfi

المساهمون: Pagliuca, P., Milano, N., Nolfi, S.

المصدر: PLoS ONE
PLoS ONE, Vol 13, Iss 7, p e0198788 (2018)
PloS one 13 (2018). doi:10.1371/journal.pone.0198788
info:cnr-pdr/source/autori:Pagliuca, Paolo; Milano, Nicola; Nolfi, Stefano/titolo:Maximizing adaptive power in neuroevolution/doi:10.1371%2Fjournal.pone.0198788/rivista:PloS one/anno:2018/pagina_da:/pagina_a:/intervallo_pagine:/volume:13

مصطلحات موضوعية: Central Nervous System, Evolutionary Genetics, 0209 industrial biotechnology, Computer science, lcsh:Medicine, 02 engineering and technology, computer.software_genre, 020901 industrial engineering & automation, Animal Cells, Number Theory, 0202 electrical engineering, electronic engineering, information engineering, lcsh:Science, Genome Evolution, Motor Neurons, Neurons, Multidisciplinary, Neuroevolution, Applied Mathematics, Simulation and Modeling, Software Engineering, Genomics, Biological Evolution, Power (physics), Variable (computer science), Physical Sciences, Engineering and Technology, 020201 artificial intelligence & image processing, Cellular Types, Evolution strategy, Algorithms, Research Article, Computer and Information Sciences, Evolutionary Processes, Neural Networks, Machine learning, Research and Analysis Methods, Molecular Evolution, Computational Techniques, Real Numbers, Genetics, Animals, Humans, Evolutionary Biology, business.industry, lcsh:R, Biology and Life Sciences, Computational Biology, Biological evolution, Cell Biology, Source Code, Cellular Neuroscience, lcsh:Q, Artificial intelligence, Evolutionary Algorithms, Nerve Net, business, Evolutionary Computation, computer, Mathematics, Neuroscience

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1971b3e2abe9f11477a04c4f584c9fe
https://pubmed.ncbi.nlm.nih.gov/30020942

Find this article in full text from ProQuest

10

Robustness, Evolvability and Phenotypic Complexity: Insights from Evolving Digital Circuits

المؤلفون: Stefano Nolfi, Nicola Milano, Paolo Pagliuca

المساهمون: Milano, N., Pagliuca, P., Nolfi, S.

المصدر: Evolutionary intelligence
12 (2019): 83–95. doi:10.1007/s12065-018-00197-z
info:cnr-pdr/source/autori:Milano N.; Pagliuca P.; Nolfi S./titolo:Robustness, evolvability and phenotypic complexity: insights from evolving digital circuits/doi:10.1007%2Fs12065-018-00197-z/rivista:Evolutionary intelligence (Print)/anno:2019/pagina_da:83/pagina_a:95/intervallo_pagine:83–95/volume:12

مصطلحات موضوعية: FOS: Computer and information sciences, Computer science, Cognitive Neuroscience, Evolutionary algorithm, 02 engineering and technology, Computational biology, ComputingMethodologies_ARTIFICIALINTELLIGENCE, Mathematics (miscellaneous), Phenotypic variability, Artificial Intelligence, Parity problem, 0202 electrical engineering, electronic engineering, information engineering, Neural and Evolutionary Computing (cs.NE), Robustness, Digital electronics, Phenotypic complexity, business.industry, Robustness (evolution), Computer Science - Neural and Evolutionary Computing, 020206 networking & telecommunications, Evolutionary stagnation, Phenotype, Evolvability, evolutionary computation, 020201 artificial intelligence & image processing, Computer Vision and Pattern Recognition, business

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f535588ca8930d247fc57b26b833d56

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