Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Clifford Bohm"'
Publikováno v:
PLoS ONE, Vol 17, Iss 6 (2022)
Group hunting is common among social carnivores, and mechanisms that promote this behavior are a central topic in evolutionary biology. Increased prey capture success and decreased losses from competitors are often invoked as factors promoting group
Externí odkaz:
https://doaj.org/article/cbd4ab21acf34c5584477f65b699947a
Publikováno v:
Entropy, Vol 24, Iss 5, p 735 (2022)
Assessing where and how information is stored in biological networks (such as neuronal and genetic networks) is a central task both in neuroscience and in molecular genetics, but most available tools focus on the network’s structure as opposed to i
Externí odkaz:
https://doaj.org/article/706a3aef2cbb4725b9c8a185c03a833e
Publikováno v:
Artificial Life. 28:423-439
Understanding the structure and evolution of natural cognition is a topic of broad scientific interest, as is the development of an engineering toolkit to construct artificial cognitive systems. One open question is determining which components and t
Autor:
Katherine G. Skocelas, Austin J. Ferguson, Clifford Bohm, Katherine Perry, Rosemary Adaji, Charles Ofria
Publikováno v:
The 2022 Conference on Artificial Life.
Publikováno v:
Neural computation. 34(3)
Deep learning (primarily using backpropagation) and neuroevolution are the preeminent methods of optimizing artificial neural networks. However, they often create black boxes that are as hard to understand as the natural brains they seek to mimic. Pr
Publikováno v:
The 2021 Conference on Artificial Life.
Publikováno v:
The 2021 Conference on Artificial Life.
Autor:
Vincent R. Ragusa, Clifford Bohm
Publikováno v:
The 2021 Conference on Artificial Life.
Publikováno v:
GECCO (Companion)
MABE (Modular Agent-based Evolver) is an open-source evolutionary computation (EC) research platform designed to be used by biologists, engineers, computer scientists, and other researchers. MABE's primary goal is to reduce the time between thinking
Publikováno v:
Genetic and Evolutionary Computation ISBN: 9783030047344
GPTP
GPTP
Within the field of Genetic Algorithms (GA) and Artificial Intelligence (AI) a variety computational substrates with the power to find solutions to a large variety of problems have been described. Research has specialized on different computational s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::498f9dabf10fa27278d81146f7fa28bb
https://doi.org/10.1007/978-3-030-04735-1_2
https://doi.org/10.1007/978-3-030-04735-1_2