162,381 research outputs found
Nowlan K. Dean 1960 Catalog
No full textField catalog for collector Nowlan K. Dean for specimens collected in 196
Nowlan K. Dean 1958 Catalog
No full textField catalog for collector Nowlan K. Dean for specimens collected in 195
Nowlan, J A, VX47885
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/408127Surname: NOWLAN. Given Name(s) or Initials: J A. Military Service Number or Last Known Location: VX47885. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 16007.237288
Item: [2016.0049.40402] "Nowlan, J A, VX47885
Nowlan K. Dean 1958 Field Notes
No full textField notes for collector Nowlan K. Dean for specimens collected in 195
[Report to Chief J. E. Curry, by an unknown author #1]
No full textReport to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
[Report to Chief J. E. Curry, by an unknown author #2]
No full textReport to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
L'apostat, ou La famille Nowlan. Tome 3 / , histoire irlandaise par M. Banim, traduite de l'anglais par M. A.-J.-B. Defauconpret
No full textTitre original : The Nowlan
Stability and task complexity: a neural network model of genetic assimilation
No full textSince Hinton and Nowlan introduced the Baldwin effect to the evolutionary computation community, agent-based studies of genetic assimilation have uncovered many details of the dynamic processes involved. In a previous paper, we demonstrated genetic assimilation with a simple food/toxin discrimination task using neural network agents that could evolve their learning rate. The study reported in this paper investigated the genetic assimilation of more complex learning tasks. Kauffman's NK landscape model, which can generate landscapes with a variable degree of correlation, was used to define learning tasks of varying levels of complexity. Simulations indicate an increased tendency of genetic assimilation to occur as the complexity of the learning task decreases and the environmental stability increases. These results are explained in terms of the shifting balance between the evolutionary costs and benefits of learning
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