Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Eric O. Scott"'
Autor:
Siva Venkadesh, Alexander O. Komendantov, Stanislav Listopad, Eric O. Scott, Kenneth De Jong, Jeffrey L. Krichmar, Giorgio A. Ascoli
Publikováno v:
Frontiers in Neuroinformatics, Vol 12 (2018)
The diversity of intrinsic dynamics observed in neurons may enhance the computations implemented in the circuit by enriching network-level emergent properties such as synchronization and phase locking. Large-scale spiking network models of entire bra
Externí odkaz:
https://doaj.org/article/93f1c502ac814cdab8565f19c9b3c7e6
Autor:
Eric O. Scott
Publikováno v:
ACM SIGEVOlution. 16:1-3
This two-part PhD thesis (by Eric O. Scott, Advisors: Kenneth A. De Jong and Sean Luke) investigates asynchronous steady-state evolutionary algorithms and evolutionary knowledge transfer, respectively, as ways to address challenges that can make it d
Autor:
Eric O. Scott, Mark Coletti, Catherine D. Schuman, Bill Kay, Shruti R. Kulkarni, Maryam Parsa, Chathika Gunaratne, Kenneth A. De Jong
Publikováno v:
Expert Systems. 40
Autor:
Kenneth de Jong, Mark Coletti, Maryam Parsa, Catherine D. Schuman, Shruti R. Kulkarni, Eric O. Scott, Bill Kay
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030870935
UKCI
UKCI
Asynchronous evolutionary algorithms are becoming increasingly popular as a means of making full use of many processors while solving computationally expensive search and optimization problems. These algorithms excel at keeping large clusters fully u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92a8a3ed3c82c18684e210641ce5a41a
https://doi.org/10.1007/978-3-030-87094-2_7
https://doi.org/10.1007/978-3-030-87094-2_7
Autor:
Xinyun Zou, Kexin Chen, Eric O. Scott, Kenneth de Jong, Jeffrey L. Krichmar, Douglas A. Nitz, Alexander B. Johnson
Publikováno v:
IJCNN
In rodent navigational studies, spatial responses have been identified in both the hippocampal subregion CA1 and the subiculum (SUB), but these two brain regions appear to encode spatial features differently. Place fields of SUB place cells are large
Autor:
Douglas A. Nitz, Kenneth de Jong, Eric O. Scott, Jeffrey L. Krichmar, Alexander B. Johnson, Xinyun Zou, Kexin Chen
Publikováno v:
GECCO Companion
Animals ranging from rats to humans can demonstrate cognitive map capabilities. We evolved weights in a biologically plausible recurrent neural network (RNN) using an evolutionary algorithm to replicate the behavior and neural activity observed in ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8220d395246818ab6e718a744fd3e6b1
http://arxiv.org/abs/2102.12638
http://arxiv.org/abs/2102.12638
Publikováno v:
GECCO Companion
There are generally three types of scientific software users: users that solve problems using existing science software tools, researchers that explore new approaches by extending existing code, and educators that teach students scientific concepts.
Publikováno v:
Advances in Practical Applications of Agents, Multi-Agent Systems, and Trustworthiness. The PAAMS Collection ISBN: 9783030497774
PAAMS
PAAMS
Agent-based modeling (ABM) has many applications in the social sciences, biology, computer science, and robotics. One of the most important and challenging phases in agent-based model development is the calibration of model parameters and agent behav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bdb0b7be2a00d05e0417d54a3bd6ee1
https://doi.org/10.1007/978-3-030-49778-1_8
https://doi.org/10.1007/978-3-030-49778-1_8
Autor:
Sean Luke, Eric O. Scott
Publikováno v:
GECCO (Companion)
ECJ is now 20 years old. Begun as a genetic programming and evolutionary computation library in Java, it has since established itself as historically one of the most popular EC toolkits worldwide. In 2016 we received a National Science Foundation gra
Autor:
Eric O. Scott, Kenneth de Jong
Publikováno v:
CEC
Algorithmic knowledge transfer can make difficult problems easier to solve well. Most existing work on knowledge transfer for optimization relies on humans to manually select source tasks to transfer information from, and attempts to automate the sou