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1دورية أكاديمية
المؤلفون: Paolo Pagliuca, Nicola Milano, Stefano Nolfi
المصدر: Frontiers in Robotics and AI, Vol 7 (2020)
مصطلحات موضوعية: evolutionary strategies, reinforcement learning, continuous control optimization, natural evolutionary strategies, fitness function design, Mechanical engineering and machinery, TJ1-1570, Electronic computers. Computer science, QA75.5-76.95
وصف الملف: electronic resource
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2دورية أكاديمية
المؤلفون: Paolo Pagliuca, Stefano Nolfi
المصدر: PLoS ONE, Vol 14, Iss 3, p e0213193 (2019)
وصف الملف: electronic resource
Relation: https://doaj.org/toc/1932-6203
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3دورية أكاديمية
المؤلفون: Paolo Pagliuca, Nicola Milano, Stefano Nolfi
المصدر: PLoS ONE, Vol 13, Iss 7, p e0198788 (2018)
وصف الملف: electronic resource
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المؤلفون: Paolo Pagliuca, Alessandra Vitanza
المصدر: Lecture Notes in Networks and Systems ISBN: 9783031275234
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::df1394be59f643edd6b22ff273bb44fa
https://doi.org/10.1007/978-3-031-27524-1_75 -
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المؤلفون: Stefano Nolfi, Paolo Pagliuca
المصدر: Adaptive Behavior. 30:245-255
مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Artificial Intelligence, Computer science, Evolutionary robotics, Experimental and Cognitive Psychology, 02 engineering and technology, Computer Science - Robotics, 03 medical and health sciences, Behavioral Neuroscience, Co-adaptation, 0202 electrical engineering, electronic engineering, information engineering, Neural and Evolutionary Computing (cs.NE), 030304 developmental biology, 0303 health sciences, business.industry, technology, industry, and agriculture, Computer Science - Neural and Evolutionary Computing, body regions, Artificial Intelligence (cs.AI), surgical procedures, operative, Robot, 020201 artificial intelligence & image processing, Artificial intelligence, business, Robotics (cs.RO), human activities
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28c9473bc03f08cb852f06076e2256c7
https://doi.org/10.1177/1059712321994685 -
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المؤلفون: Paolo Pagliuca, Nicola Milano, Stefano Nolfi
المساهمون: Pagliuca, Paolo, Milano, Nicola, Nolfi, Stefano
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2535a6b4e7111a3ebf010e1192393a95
https://hdl.handle.net/11588/916998 -
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المؤلفون: Stefano Nolfi, 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:14مصطلحات 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
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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 -
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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:13مصطلحات 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
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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:12مصطلحات 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