Institution
Santa Fe Institute
Nonprofit•Santa Fe, New Mexico, United States•
About: Santa Fe Institute is a nonprofit organization based out in Santa Fe, New Mexico, United States. It is known for research contribution in the topics: Population & Complex network. The organization has 558 authors who have published 4558 publications receiving 396015 citations. The organization is also known as: SFI.
Papers published on a yearly basis
Papers
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TL;DR: In this paper, a conceptual framework and quantitative method for quantifying the causes of cost changes in a technology, and apply it to PV modules, is presented, which can be adapted to retrospectively or prospectively study many technologies, and performance metrics besides cost.
229 citations
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TL;DR: In this paper, the correlation of a time series sampled along a random walk on the landscape and the correlation function with respect to a partition of the set of all vertex pairs are investigated.
Abstract: Fitness landscapes are an important concept in molecular evolution. Many important examples of landscapes in physics and combinatorial optimization, which are widely used as model landscapes in simulations of molecular evolution and adaptation, are “elementary”, i.e., they are (up to an additive constant) eigenfunctions of a graph Laplacian. It is shown that elementary landscapes are characterized by their correlation functions. The correlation functions are in turn uniquely determined by the geometry of the underlying configuration space and the nearest neighbor correlation of the elementary landscape. Two types of correlation functions are investigated here: the correlation of a time series sampled along a random walk on the landscape and the correlation function with respect to a partition of the set of all vertex pairs.
229 citations
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Michigan State University1, University of Arizona2, Santa Fe Institute3, Conservation International4, University of British Columbia5, Kenyon College6, North Carolina State University7, Arizona State University8, University of Maryland, College Park9, University of Puerto Rico10, University of Leeds11, University of California, Berkeley12, University of New South Wales13, National University of Colombia14, University of Western Australia15, University of Minnesota16, Pontificia Universidad Católica del Ecuador17, Macquarie University18, Smithsonian Institution19, Missouri Botanical Garden20, Texas A&M University21
TL;DR: The results show that the overall distribution of function does increase towards the equator, but the functional diversity within regional-scale tropical assemblages is higher than that expected given their species richness.
Abstract: Aim In recent years evidence has accumulated that plant species are differentially sorted from regional assemblages into local assemblages along local-scale environmental gradients on the basis of their function and abiotic filtering. The favourability hypothesis in biogeography proposes that in climatically difficult regions abiotic filtering should produce a regional assemblage that is less functionally diverse than that expected given the species richness and the global pool of traits. Thus it seems likely that differential filtering of plant traits along local-scale gradients may scale up to explain the distribution, diversity and filtering of plant traits in regional-scale assemblages across continents. The present work aims to address this prediction.
229 citations
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TL;DR: The fourthdimension of life: fractal geometry and allometric scaling of organisms and the Ageneral model for ontogenetic growth.
Abstract: Ecology, Vol. 85, No. 7MacArthur, R. H. 1968. The theory of the niche. Pages 159–176 in R. C. Lewontin, editor. Population biology and evo-lution. Syracuse University Press, Syracuse, New York, USA.West, G. B., J. H. Brown, and B. J. Enquist. 1997. A generalmodel for the origin of allometric scaling laws in biology.Science 276:122–126.West, G. B., J. H. Brown, and B. J. Enquist. 1999. The fourthdimension of life: fractal geometry and allometric scalingof organisms. Science 284:1677–1679.West, G. B., J. H. Brown, and B. J. Enquist. 2001. Ageneral model for ontogenetic growth. Nature413:628–631.
226 citations
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TL;DR: In this paper, the authors suggest that many humans have a predisposition to punish those who violate group-beneficial norms, even when this imposes a fitness cost on the punisher.
Abstract: How do human groups maintain a high level of cooperation despite a low level of genetic relatedness among group members? We suggest that many humans have a predisposition to punish those who violate group-beneficial norms, even when this imposes a fitness cost on the punisher. Such altruistic punishment is widely observed to sustain high levels of cooperation in behavioral experiments and in natural settings. We offer a model of cooperation and punishment that we call strong reciprocity: where members of a group benefit from mutual adherence to a social norm, strong reciprocators obey the norm and punish its violators, even though as a result they receive lower payoffs than other group members, such as selfish agents who violate the norm and do not punish, and pure cooperators who adhere to the norm but free-ride by never punishing. Our agent-based simulations show that, under assumptions approximating likely human environments over the 100,000 years prior to the domestication of animals and plants, the proliferation of strong reciprocators when initially rare is highly likely, and that substantial frequencies of all three behavioral types can be sustained in a population. As a result, high levels of cooperation are sustained. Our results do not require that group members be related or that group extinctions occur.
226 citations
Authors
Showing all 606 results
Name | H-index | Papers | Citations |
---|---|---|---|
James Hone | 127 | 637 | 108193 |
James H. Brown | 125 | 423 | 72040 |
Alan S. Perelson | 118 | 632 | 66767 |
Mark Newman | 117 | 348 | 168598 |
Bette T. Korber | 117 | 392 | 49526 |
Marten Scheffer | 111 | 350 | 73789 |
Peter F. Stadler | 103 | 901 | 56813 |
Sanjay Jain | 103 | 881 | 46880 |
Henrik Jeldtoft Jensen | 102 | 1286 | 48138 |
Dirk Helbing | 101 | 642 | 56810 |
Oliver G. Pybus | 100 | 447 | 45313 |
Andrew P. Dobson | 98 | 322 | 44211 |
Carel P. van Schaik | 94 | 329 | 26908 |
Seth Lloyd | 92 | 490 | 50159 |
Andrew W. Lo | 85 | 378 | 51440 |