Relevant bibliographies by topics / Coevolution

Academic literature on the topic 'Coevolution'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 September 2024

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Journal articles on the topic "Coevolution"

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Hibbitt, Cate. "Coevolution." American Biology Teacher 78, no. 8 (October 1, 2016): 689. http://dx.doi.org/10.1525/abt.2016.78.8.689.

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Yasukawa, Ken. "Coevolution." Ethology and Sociobiology 6, no. 4 (January 1985): 265–66. http://dx.doi.org/10.1016/0162-3095(85)90020-2.

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Lewis, R. E. "Coevolution." Bulletin of the Entomological Society of America 33, no. 3 (September 1, 1987): 195. http://dx.doi.org/10.1093/besa/33.3.195.

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FUTUYMA, D. J., and J. KIM. "Phylogeny and Coevolution: Coevolution and Systematics." Science 237, no. 4813 (July 24, 1987): 441–42. http://dx.doi.org/10.1126/science.237.4813.441.

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FUTUYMA, D. J. "Coevolution: Cautious Views: Chemical Mediation of Coevolution." Science 245, no. 4921 (September 1, 1989): 991–92. http://dx.doi.org/10.1126/science.245.4921.991-a.

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Lamm, Ehud, and Ohad Kammar. "Inferring Coevolution." Philosophy of Science 81, no. 4 (October 2014): 592–611. http://dx.doi.org/10.1086/678045.

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Ash, Caroline. "Fermenting coevolution." Science 369, no. 6505 (August 13, 2020): 784.1–785. http://dx.doi.org/10.1126/science.369.6505.784-a.

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Berenbaum, M. "Coevolution Reconsidered." Science 267, no. 5199 (February 10, 1995): 910–11. http://dx.doi.org/10.1126/science.267.5199.910.

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Stower, Hannah. "Coevolution revealed." Nature Reviews Genetics 13, no. 11 (October 16, 2012): 758. http://dx.doi.org/10.1038/nrg3365.

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Stoy, Kayla S., Joselyne Chavez, Valeria De Las Casas, Venkat Talla, Aileen Berasategui, Levi T. Morran, and Nicole M. Gerardo. "Evaluating coevolution in a horizontally transmitted mutualism." Evolution 77, no. 1 (December 8, 2022): 166–85. http://dx.doi.org/10.1093/evolut/qpac009.

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Abstract Many interspecific interactions are shaped by coevolution. Transmission mode is thought to influence opportunities for coevolution within symbiotic interactions. Vertical transmission maintains partner fidelity, increasing opportunities for coevolution, but horizontal transmission may disrupt partner fidelity, potentially reducing opportunities for coevolution. Despite these predictions, the role of coevolution in the maintenance of horizontally transmitted symbioses is unclear. Leveraging a tractable insect–bacteria symbiosis, we tested for signatures of pairwise coevolution by assessing patterns of host–symbiont specialization. If pairwise coevolution defines the interaction, we expected to observe evidence of reciprocal specialization between hosts and their local symbionts. We found no evidence for local adaptation between sympatric lineages of Anasa tristis squash bugs and Caballeronia spp. symbionts across their native geographic range. We also found no evidence for specialization between three co-localized Anasa host species and their native Caballeronia symbionts. Our results demonstrate generalist dynamics underlie the interaction between Anasa insect hosts and their Caballeronia symbionts. We predict that selection from multiple host species may favor generalist symbiont traits through diffuse coevolution. Alternatively, selection for generalist traits may be a consequence of selection by hosts for fixed cooperative symbiont traits without coevolution.
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Dissertations / Theses on the topic "Coevolution"

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Långberg, Joakim. "Coevolution and turnbased games." Thesis, University of Skövde, School of Humanities and Informatics, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-958.

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Artificial intelligence plays an increasingly important role in modern computer games. As the complexity of the games increase, so does the complexity of the AI.

The aim of this dissertation is to investigate how AI for a turnbased computer game can coevolve into playing smarter by combining genetic algorithms with neural networks and using a reinforcement learning regime.

The results have shown that a coevolved AI can reach a high performance in this kind of turnbased strategy games. It also shows that how the data is coded and decoded and which strategy that is used plays a very big role in the final results

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Morgan, Andrew. "Experimental host-parasite coevolution." Thesis, University of Oxford, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.424864.

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SungYong, Um. "The coevolution of digital ecosystems." Diss., Temple University Libraries, 2016. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/388976.

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Business Administration/Management Information Systems
Ph.D.
Digital ecosystems are one of the most important strategic issues in the current digital economy. Digital ecosystems are dynamic and generative. They evolve as new firms join and as heterogeneous systems are integrated into other systems. These features digital ecosystems determine economic and technological success in the competition among digital platform systems. However, how these ecosystems evolve over time is not yet clearly known. I describe three empirical essays in order to understand the underlying mechanism of the evolution of a digital ecosystem: 1) the underlying architecture of a digital ecosystem, 2) the evolutionary pattern of a digital ecosystem, 3) and the co-evolution of a digital ecosystem. To explore these topics, I focus on the underlying generative structure of the ecosystem and its evolutionary pattern of WordPress, which is the world largest blog platform system. I collected a comprehensive set of information about the WordPress ecosystem including over 23,000 plug-ins from January 2004 to December 2014. To analyze the data, I apply a network approach to capture the generative nature of digital technology that assumes a fractal-like structure in which digital components such as Application Programming Interfaces (API) cluster into groups that generate other groups over time. As such, I can effectively capture the hierarchical structure of a network by exploring the topological structure of sub-networks that represent the fractal-like evolutionary dynamic system mechanism. The network approach, together with the conventional statistical approach, allows me to understand the unique nature of a digital ecosystem that is different from the boundary of a decomposable system, as the generative nature of system-agnostic digital components builds on a developmental combinable system. I also discuss underlying theory, methodology, data, result, and implications and conclude by highlighting the contributions of this study and the direction of future research to further explore the evolution of digital ecosystems.
Temple University--Theses
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Service, Travis. "Co-optimization: a generalization of coevolution." Diss., Rolla, Mo. : Missouri University of Science and Technology, 2008. http://scholarsmine.mst.edu/thesis/pdf/Service_09007dcc804e2264.pdf.

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Thesis (M.S.)--Missouri University of Science and Technology, 2008.
Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed April 26, 2008) Includes bibliographical references (p. 65-68).
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Dobbie, Samuel Thormond. "Ecological perspectives on host-parasite coevolution." Thesis, University of East Anglia, 2013. https://ueaeprints.uea.ac.uk/48681/.

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It is a truth universally acknowledged that polymorphism at host immunity loci and corresponding parasite antigenicity loci, maintained by coevolution in pathosystems, is common and can persist for millions of years. Such polymorphisms and how they persist or break down are both fundamentally interesting and important for human health and agriculture. Examples include the major histocompatibility complex in vertebrates and the gene-for-gene (GFG) relationships in plants and their parasites. GFG systems are well-understood genetically and an important source of disease resistance for plant breeders. Therefore considerable effort has gone into studying their evolutionary dynamics in natural pathosystems and modelling the conditions under which long-term polymorphism persists or breaks down. Polymorphism in GFG systems is common and in many cases ancient in wild pathosystems. Conversely, in agriculture the introduction of a resistance gene normally results in the matching parasite avirulence gene rapidly becoming locally extinct. Simple genetic models of GFG coevolution do not produce stable polymorphism. Various more complex models do but are difficult to analyse. Recent work has shown a factor common to stable models is negative direct frequency-dependent selection, so at least one genotype becomes less fit as it grows more common regardless of genotype frequencies in the other species. This selection is not present in simplified models, but is generated in real pathosystems by various ecological and epidemiological factors. Here I expand on previous work by demonstrating that realistic demography, specifically density-dependent regulation of parasite incidence, can generate negatively self-regulating stabilising pressure. This is loosely analogous to negative frequency-dependent selection and, similarly, can stabilise polymorphism in GFG pathosystems. I show this density-dependent regulation can stabilise both non-spatial deterministic and spatial stochastic systems. I also study how this stabilising factor interacts with the complicating biological factors of limited dispersal and resultant spatial structure in populations, variable host density and the presence of a second parasite.
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Yoshida, Takeo, and Peter A. Troch. "Coevolution of volcanic catchments in Japan." COPERNICUS GESELLSCHAFT MBH, 2016. http://hdl.handle.net/10150/617400.

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Present-day landscapes have evolved over time through interactions between the prevailing climates and geological settings. Understanding the linkage between spatial patterns of landforms, soils, and vegetation in landscapes and their hydrological response is critical to make quantitative predictions in ungaged basins. Catchment coevolution is a theoretical framework that seeks to formulate hypotheses about the mechanisms and conditions that determine the historical development of catchments and how such evolution affects their hydrological response. In this study, we selected 14 volcanic catchments of different ages (from 0.225 to 82.2 Ma) in Japan. We derived indices of landscape properties (drainage density and slope–area relationship) as well as hydrological response (annual water balance, baseflow index, and flow–duration curves) and examined their relation with catchment age and climate (through the aridity index). We found a significant correlation between drainage density and baseflow index with age, but not with climate. The intra-annual flow variability was also significantly related to catchments age. Younger catchments tended to have lower peak flows and higher low flows, while older catchments exhibited more flashy runoff. The decrease in baseflow with catchment age is consistent with the existing hypothesis that in volcanic landscapes the major flow pathways change over time from deep groundwater flow to shallow subsurface flow. The drainage density of our catchments decreased with age, contrary to previous findings in a set of similar, but younger volcanic catchments in the Oregon Cascades, in which drainage density increased with age. In that case, older catchments were thought to show more landscape incision due to increasing near-surface lateral flow paths. Our results suggests two competing hypotheses on the evolution of drainage density in mature catchments. One is that as catchments continue to age, the hydrologically active channels retreat because less recharge leads to lower average aquifer levels and less baseflow. The other hypothesis is that the active channels do not undergo much surface dissection after the catchments reach maturity.
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Savel, Daniel M. "Towards a Human Genomic Coevolution Network." Case Western Reserve University School of Graduate Studies / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case1524241451267546.

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Chen, Kun. "Modeling distributed coevolution : NKP on a cluster /." [St. Lucia, Qld.], 2005. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe18941.pdf.

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Liljestrand, Rönn Johanna. "Male-female Coevolution in Bruchid Seed Beetles." Doctoral thesis, Uppsala universitet, Zooekologi, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-98162.

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Male-female coevolution is at the heart of biology. It is responsible for much of the diversity we see in behaviour and morphology, and it is thought to be an important engine of speciation. The pattern of intersexual coevolution is well established in many taxa, yet understanding of the processes responsible for male-female coevolution remains incomplete. By studying interspecific variation within a closely related group of species, we can gain important information about how traits and behaviours have evolved. In the work done for this thesis, we studied a group of seed beetle species. Our results show that male-female coevolution has been a strong force in shaping both behaviour and morphological traits that are associated with mating and reproduction such as, morphology of male and female genitalia and remating behaviour. The evolution of harmful male genitalia has often been suggested to be a product of sexually antagonistic coevolution, but understanding of these extraordinary adaptations is limited. By combining comparative and experimental methods we show that as seed beetle males evolve more spiny genitalia, harm to females is elevated. We provide evidence for the correlated evolution between these antagonistic adaptations in males, and a female counter adaptation (the amount of connective tissue in the copulatory duct). We also demonstrate that imbalance of relative armament of the sexes affects evolution of the costs and benefits of reproduction. As males evolve genitalia that are more harmful relative to the level of female counteradaptation, costs associated with mating for females increase and population fitness is depressed. Our results unveil a coevolutionary arms race between the sexes and are consistent with a proposed link between sexual conflict, species’ viability and the risk of extinction.
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Best, Alex. "The evolution and coevolution of host defence." Thesis, University of Sheffield, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.521900.

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Books on the topic "Coevolution"

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R, Stone A., Hawksworth D. L, and Systematics Association, eds. Coevolution and systematics. Oxford [Oxfordshire]: Published for the Systematics Association by Clarendon Press, 1986.

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Thompson, John N. Interaction and coevolution. Chicago: London : The University of Chicago Press, 2014.

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C, Spencer Kevin, ed. Chemical mediation of coevolution. San Diego: Academic Press, 1988.

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Jermy, Tibor. Gondolatok a koevolúcióról: Akadémiai székfoglaló, 1986. március 11. Budapest: Akadémiai Kiadó, 1987.

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M, Page Roderic D., ed. Tangled trees: Phylogeny, cospeciation, and coevolution. Chicago: University of Chicago Press, 2003.

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Chung, Kim Ke, ed. Coevolution of parasitic arthropods and mammals. New York: Wiley, 1985.

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C, Ho L., and Carnegie Institution of Washington, eds. Coevolution of black holes and galaxies. Cambridge: Cambridge University Press, 2004.

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Philippidou, S. Exploring organization: Environment link change as coevolution. Grenoble: Groupe ESC, 2002.

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Fujii, K., A. M. R. Gatehouse, C. D. Johnson, R. Mitchel, and T. Yoshida, eds. Bruchids and Legumes: Economics, Ecology and Coevolution. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-2005-7.

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A, Pirozynski K., and Hawksworth D. L, eds. Coevolution of fungi with plants and animals. London: Academic Press, 1988.

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Book chapters on the topic "Coevolution"

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Shultz, Thomas R., Scott E. Fahlman, Susan Craw, Periklis Andritsos, Panayiotis Tsaparas, Ricardo Silva, Chris Drummond, et al. "Coevolution." In Encyclopedia of Machine Learning, 183. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_135.

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Tirard, Stéphane. "Coevolution." In Encyclopedia of Astrobiology, 492. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-44185-5_5255.

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Gabrys, Beata, John L. Capinera, Jesusa C. Legaspi, Benjamin C. Legaspi, Lewis S. Long, John L. Capinera, Jamie Ellis, et al. "Coevolution." In Encyclopedia of Entomology, 959. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6359-6_748.

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Wallace, Rodrick, Deborah Wallace, and Robert G. Wallace. "Coevolution." In Farming Human Pathogens, 1–20. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-92213-3_4.

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Gandhi, Vishwa. "Coevolution." In Encyclopedia of Animal Cognition and Behavior, 1473–78. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-55065-7_505.

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Lockshin, Richard A. "Coevolution." In The Joy of Science, 351–58. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-6099-1_26.

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Gandhi, Vishwa. "Coevolution." In Encyclopedia of Animal Cognition and Behavior, 1–5. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-47829-6_505-1.

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Tirard, Stephane. "Coevolution." In Encyclopedia of Astrobiology, 1. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-27833-4_5255-3.

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Jolivet, Pierre. "Coevolution." In Insects and Plants, 157–63. 2nd ed. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003419938-15.

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Tirard, Stéphane. "Coevolution." In Encyclopedia of Astrobiology, 612. Berlin, Heidelberg: Springer Berlin Heidelberg, 2023. http://dx.doi.org/10.1007/978-3-662-65093-6_5255.

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Conference papers on the topic "Coevolution"

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Goldman, Brian W., and Daniel R. Tauritz. "Supportive coevolution." In the fourteenth international conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2330784.2330795.

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Jaśkowski, Wojciech, Krzysztof Krawiec, and Bartosz Wieloch. "Fitnessless coevolution." In the 10th annual conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1389095.1389161.

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Vanneschi, Leonardo, Giancarlo Mauri, Andrea Valsecchi, and Stefano Cagnoni. "Heterogeneous cooperative coevolution." In the 8th annual conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1143997.1144062.

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Brant, Jonathan C., and Kenneth O. Stanley. "Minimal criterion coevolution." In GECCO '17: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3071178.3071186.

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"Session details: Coevolution." In GECCO05: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2005. http://dx.doi.org/10.1145/3249399.

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"Session details: Coevolution." In GECCO05: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2005. http://dx.doi.org/10.1145/3249400.

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Reynolds, Craig. "Coevolution of Camouflage." In The 2023 Conference on Artificial Life. MIT Press, 2023. http://dx.doi.org/10.1162/isal_a_00583.

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Wiegand, R. Paul, and Mitchell A. Potter. "Robustness in cooperative coevolution." In the 8th annual conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1143997.1144063.

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Hingston, Philip, and Mike Preuss. "Red teaming with coevolution." In 2011 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2011. http://dx.doi.org/10.1109/cec.2011.5949747.

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Maniadakis, Michail, and Panos Trahanias. "Assessing Hierarchical Cooperative CoEvolution." In 19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007). IEEE, 2007. http://dx.doi.org/10.1109/ictai.2007.174.

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Reports on the topic "Coevolution"

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Galor, Oded, Ömer Özak, and Assaf Sarid. Geographical Roots of the Coevolution of Cultural and Linguistic Traits. Cambridge, MA: National Bureau of Economic Research, November 2018. http://dx.doi.org/10.3386/w25289.

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Perdigão, Rui A. P., and Julia Hall. Wildfire System Dynamics and Predictability under Socio-Environmental Coevolution in a Changing Climate. Meteoceanics, October 2020. http://dx.doi.org/10.46337/201016.

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Jones, Philip. Molecular Coevolution of Pacific Northwest Hantaviruses and Their Host, The Deer Mouse, Peromyscus Maniculatus. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.7242.

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Woese, Carl R., Nigel Goldenfeld, and Zaida Luthey-Schulten. Role of horizontal gene transfer as a control on the coevolution of ribosomal proteins and the genetic code. Office of Scientific and Technical Information (OSTI), March 2011. http://dx.doi.org/10.2172/1010449.

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Research Institute (IFPRI), International Food Policy. Unraveling the role of innovation platforms in supporting coevolution of innovation: Contributions and tensions in a smallholder dairy-development program. Washington, DC: International Food Policy Research Institute, 2016. http://dx.doi.org/10.2499/9780896292130_09.

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Research Institute (IFPRI), International Food Policy. Unraveling the role of innovation platforms in supporting coevolution of innovation: Contributions and tensions in a smallholder dairy-development program. Washington, DC: International Food Policy Research Institute, 2016. http://dx.doi.org/10.2499/9780896292130_10.

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Research Institute (IFPRI), International Food Policy. Unraveling the role of innovation platforms in supporting coevolution of innovation: Contributions and tensions in a smallholder dairy-development program. Washington, DC: International Food Policy Research Institute, 2016. http://dx.doi.org/10.2499/9780896292130_11.

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Perdigão, Rui A. P., and Julia Hall. Spatiotemporal Causality and Predictability Beyond Recurrence Collapse in Complex Coevolutionary Systems. Meteoceanics, November 2020. http://dx.doi.org/10.46337/201111.

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Causality and Predictability of Complex Systems pose fundamental challenges even under well-defined structural stochastic-dynamic conditions where the laws of motion and system symmetries are known. However, the edifice of complexity can be profoundly transformed by structural-functional coevolution and non-recurrent elusive mechanisms changing the very same invariants of motion that had been taken for granted. This leads to recurrence collapse and memory loss, precluding the ability of traditional stochastic-dynamic and information-theoretic metrics to provide reliable information about the non-recurrent emergence of fundamental new properties absent from the a priori kinematic geometric and statistical features. Unveiling causal mechanisms and eliciting system dynamic predictability under such challenging conditions is not only a fundamental problem in mathematical and statistical physics, but also one of critical importance to dynamic modelling, risk assessment and decision support e.g. regarding non-recurrent critical transitions and extreme events. In order to address these challenges, generalized metrics in non-ergodic information physics are hereby introduced for unveiling elusive dynamics, causality and predictability of complex dynamical systems undergoing far-from-equilibrium structural-functional coevolution. With these methodological developments at hand, hidden dynamic information is hereby brought out and explicitly quantified even beyond post-critical regime collapse, long after statistical information is lost. The added causal insights and operational predictive value are further highlighted by evaluating the new information metrics among statistically independent variables, where traditional techniques therefore find no information links. Notwithstanding the factorability of the distributions associated to the aforementioned independent variables, synergistic and redundant information are found to emerge from microphysical, event-scale codependencies in far-from-equilibrium nonlinear statistical mechanics. The findings are illustrated to shed light onto fundamental causal mechanisms and unveil elusive dynamic predictability of non-recurrent critical transitions and extreme events across multiscale hydro-climatic problems.
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Perdigão, Rui A. P. New Horizons of Predictability in Complex Dynamical Systems: From Fundamental Physics to Climate and Society. Meteoceanics, October 2021. http://dx.doi.org/10.46337/211021.

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Discerning the dynamics of complex systems in a mathematically rigorous and physically consistent manner is as fascinating as intimidating of a challenge, stirring deeply and intrinsically with the most fundamental Physics, while at the same time percolating through the deepest meanders of quotidian life. The socio-natural coevolution in climate dynamics is an example of that, exhibiting a striking articulation between governing principles and free will, in a stochastic-dynamic resonance that goes way beyond a reductionist dichotomy between cosmos and chaos. Subjacent to the conceptual and operational interdisciplinarity of that challenge, lies the simple formal elegance of a lingua franca for communication with Nature. This emerges from the innermost mathematical core of the Physics of Coevolutionary Complex Systems, articulating the wealth of insights and flavours from frontier natural, social and technical sciences in a coherent, integrated manner. Communicating thus with Nature, we equip ourselves with formal tools to better appreciate and discern complexity, by deciphering a synergistic codex underlying its emergence and dynamics. Thereby opening new pathways to see the “invisible” and predict the “unpredictable” – including relative to emergent non-recurrent phenomena such as irreversible transformations and extreme geophysical events in a changing climate. Frontier advances will be shared pertaining a dynamic that translates not only the formal, aesthetical and functional beauty of the Physics of Coevolutionary Complex Systems, but also enables and capacitates the analysis, modelling and decision support in crucial matters for the environment and society. By taking our emerging Physics in an optic of operational empowerment, some of our pioneering advances will be addressed such as the intelligence system Earth System Dynamic Intelligence and the Meteoceanics QITES Constellation, at the interface between frontier non-linear dynamics and emerging quantum technologies, to take the pulse of our planet, including in the detection and early warning of extreme geophysical events from Space.
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Ilachinski, Andrew. Self-Organized Terrorist-Counterterrorist Adaptive Coevolutions, Part 1: A Conceptual Design. Fort Belvoir, VA: Defense Technical Information Center, February 2005. http://dx.doi.org/10.21236/ada596770.

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