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Institution

Hampshire College

EducationAmherst Center, Massachusetts, United States
About: Hampshire College is a education organization based out in Amherst Center, Massachusetts, United States. It is known for research contribution in the topics: Genetic programming & Population. The organization has 461 authors who have published 998 publications receiving 40827 citations.


Papers
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Proceedings ArticleDOI
11 Jul 2015
TL;DR: This study investigates the performance of several semantic- aware selection methods for genetic programming (GP) that do not rely on complete GP semantics, but on binary outcome vectors that only state whether a given test has been passed by a program or not.
Abstract: This study investigates the performance of several semantic- aware selection methods for genetic programming (GP) In particular, we consider methods that do not rely on complete GP semantics (ie, a tuple of outputs produced by a program for fitness cases (tests)), but on binary outcome vectors that only state whether a given test has been passed by a program or not This allows us to relate to test-based problems commonly considered in the domain of coevolutionary algorithms and, in prospect, to address a wider range of practical problems, in particular the problems where desired program output is unknown (eg, evolving GP controllers) The selection methods considered in the paper include implicit fitness sharing (ifs), discovery of derived objectives (doc), lexicase selection (lex), as well as a hybrid of the latter two These techniques, together with a few variants, are experimentally compared to each other and to conventional GP on a battery of discrete benchmark problems The outcomes indicate superior performance of lex and ifs, with some variants of doc showing certain potential

41 citations

Journal ArticleDOI
TL;DR: Post-HGP genetic science has seen a substantial shift toward the use of race variables in genetic research and, according to a number of prominent scholars, is re-invoking the specter of earlier forms of racial science in some rather discomfiting ways.
Abstract: Through an examination of the International Haplotype Map (HapMap), this paper explores some of the ways in which relationships among categories of race and genetic variation are being reconfigured in contemporary genetic research.

41 citations

Journal ArticleDOI
TL;DR: In this article, the dual-process motivational (DPM) model was used to predict attitudes toward socially threatening or subordinate groups, respectively, and found that right-wing authoritarianism and social dominance orientation (SDO) differentially predict attitudes towards socially threatening groups.
Abstract: This study tested the dual-process motivational (DPM) model, which posits that right-wing authoritarianism (RWA) and social dominance orientation (SDO) differentially predict attitudes toward socially threatening or subordinate groups, respectively. Participants read articles on same-sex relationships and affirmative action and evaluated the article content and the biases of the article authors. The article conclusions (i.e., pro- or anti-same-sex relationships and affirmative action) were varied between subjects. As expected, only RWA predicted evaluations of the same-sex relationships articles and authors, whereas only SDO predicted evaluations of the affirmative action articles and authors. These results extend applications of the dual-process model by demonstrating that RWA and SDO differentially predict evaluations of political information that pertains to socially threatening or subordinate groups, respectively.

40 citations

Journal ArticleDOI
TL;DR: The masked priming paradigm with EEG recording is combined to directly compare the ERPs evoked by regularly and irregularly inflected forms and finds equivalent N250 priming effects for both types of morphological complexity, which argues for rapid, form based morphological parsing of all morphologically complex word forms.

40 citations

Journal ArticleDOI
TL;DR: In this paper, the authors compare the concepts that define Kohlbergian stages with those associated with orders of hierarchical complexity as determined with the Hierarchical Complexity Scoring System, a generalized content-independent stage-scoring system.

40 citations


Authors

Showing all 467 results

NameH-indexPapersCitations
Anton Zeilinger12563171013
Peter K. Hepler9020721245
William H. Warren7634922765
James Paul Gee7021040526
Eric J. Steig6922317999
Raymond W. Gibbs6218817136
David A. Rosenbaum5119810834
Lee Jussim441159101
Miriam E. Nelson4412216581
Stacia A. Sower431786555
Howard Barnum411096510
Lee Spector391654692
Eric C. Anderson381065627
Alan H. Goodman341045795
Babetta L. Marrone33953584
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
202221
202117
202034
201949
201833