Дисертації з теми "Evolution of Cooperation - Mechanisms"
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Dong, Lu. "Behavioural mechanisms of cooperation and coordination." Thesis, University of Nottingham, 2017. http://eprints.nottingham.ac.uk/44618/.
Повний текст джерелаWang, Tzai-Der. "The evolution of cooperation in artificial communities." Thesis, University of the West of Scotland, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.395688.
Повний текст джерелаEl, Mouden Claire M. "The evolution of cooperation, especially in humans." Thesis, University of Oxford, 2011. http://ora.ox.ac.uk/objects/uuid:2ebc0b15-d745-48d8-bb5a-a4d83b3304ed.
Повний текст джерелаO'Neill, Moira Patricia. "Evolution and Cooperation in the Youngstown Area." Kent State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=kent1564599603688389.
Повний текст джерелаHooper, L. "International cooperation : A role for institutional mechanisms." Thesis, University of Essex, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.381237.
Повний текст джерелаLEWIS-ROBERTS, BRITTANY KIRSTEN. "COOPERATION AND ENFORCEMENT MECHANISMS: ASSESSING FOUR COUNTRIES." Thesis, The University of Arizona, 2008. http://hdl.handle.net/10150/190666.
Повний текст джерелаKiers, Erica Tobyn. "Evolution of cooperation in the legume-rhizobium symbiosis /." For electronic version search Digital dissertations database. Restricted to UC campuses. Access is free to UC campus dissertations, 2005. http://uclibs.org/PID/11984.
Повний текст джерелаEckert, Daniel, Wolfgang Janko, and Johann Mitlöhner. "Evolution of cooperation and discrimination in software development." Institut für Informationsverarbeitung und Informationswirtschaft, WU Vienna University of Economics and Business, 2004. http://epub.wu.ac.at/1672/1/document.pdf.
Повний текст джерелаSeries: Working Papers on Information Systems, Information Business and Operations
Trubenova, Barbora. "Indirect genetic effects and the evolution of cooperation." Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/indirect-genetic-effects-and-the-evolution-of-cooperation(cac253c8-500d-4f5e-91ff-878f6ead4c0e).html.
Повний текст джерелаLamba, S. "The evolution of large-scale cooperation in human populations." Thesis, University College London (University of London), 2011. http://discovery.ucl.ac.uk/1317770/.
Повний текст джерелаWalker, Lindsay. "The evolution and regulation of cooperation in the wild." Thesis, University of Exeter, 2015. http://hdl.handle.net/10871/21129.
Повний текст джерелаBarker, John. "Driving mechanisms for cataclysmic variable evolution." Thesis, Open University, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.289006.
Повний текст джерелаHearns, Glen Spencer. "Analysis of process mechanisms promoting cooperation in transboundary waters." Thesis, University of British Columbia, 2010. http://hdl.handle.net/2429/28367.
Повний текст джерелаBuchta, Claire Marie. "Mechanisms of TLR signaling and cooperation in B lymphocytes." Diss., University of Iowa, 2014. https://ir.uiowa.edu/etd/4584.
Повний текст джерелаMolin, Filippo <1995>. "Epidemic diseases: between cooperation and competition The evolution of the international sanitary cooperation and new challenges." Master's Degree Thesis, Università Ca' Foscari Venezia, 2022. http://hdl.handle.net/10579/20718.
Повний текст джерелаSylwester, Karolina. "The role of reputations in the evolution of human cooperation." Thesis, University of Newcastle Upon Tyne, 2011. http://hdl.handle.net/10443/1154.
Повний текст джерелаHodge, S. "The evolution of cooperation in the communal breeding banded mongoose." Thesis, University of Cambridge, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.604118.
Повний текст джерелаJin, Xin, and 靳鑫. "Peer-to-peer system design: incentives and evolution of cooperation." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hub.hku.hk/bib/B50662235.
Повний текст джерелаpublished_or_final_version
Electrical and Electronic Engineering
Doctoral
Doctor of Philosophy
Horii, Satoko. "Frontex and the evolution of cooperation on European border controls." Thesis, University of Sussex, 2015. http://sro.sussex.ac.uk/id/eprint/58522/.
Повний текст джерелаArranz, Jordi. "Selective pressures towards the evolution of cooperation, communication and cognition." Thesis, University of Southampton, 2015. https://eprints.soton.ac.uk/383620/.
Повний текст джерелаQuinn, Alexander E., and n/a. "EVOLUTION OF SEX-DETERMINING MECHANISMS IN REPTILES." University of Canberra. Institute for Applied Ecology, 2008. http://erl.canberra.edu.au./public/adt-AUC20090311.120346.
Повний текст джерелаBoxall, Nicola. "The mechanisms and processes of microsatellite evolution." Thesis, University of Reading, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.430923.
Повний текст джерелаKulkarni, Saurabh S. "Endocrine Mechanisms Underlying Phenotypic Evolution in Frogs." University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1342106009.
Повний текст джерелаBlockus, Heike. "Evolution and molecular mechanisms of commissure formation." Thesis, Paris 6, 2015. http://www.theses.fr/2015PA066255.
Повний текст джерелаIn species with bilateral morphological symmetry, connections between left and right in the nervous system are called commissures. The development of novel commissural circuits and modification of existing ones have accompanied the emergence of key neurobiological features in vertebrate evolution. Molecularly, guidance of commissures relies on ligand-receptor pairs such as Netrin-1/DCC mediating attraction of commissural axons to, and Slit/Robo mediated repulsion of post-crossing axons away from the midline. Arguing against assumed molecular redundancy, many commissures fail to develop in absence of a single receptor, Robo3. The objective of the current work is threefold: first, it sets out to characterize the molecular mechanisms underlying this unique function of Robo3 in mammals and evolutionarily across species. Secondly, we aim to extrapolate towards the identification of new molecules important for commissure development to lastly functionally evaluate some of these putative novel commissural signaling pathways. Our work paves the way to a complete reevaluation of Robo3-mediated developmental control in mammalian commissural systems. Using functional biochemistry, we find that mammalian Robo3 does neither bind nor respond to Slits. Moreover, Robo3 interacts with DCC and Netrin-1 selectively triggers intracellular phosphorylation of mammalian Robo3. Netrin-1 fails to attract pontine neurons lacking Robo3 and attraction can be restored in Robo3-/- mice by expression of mammalian, but not nonmammalian, Robo3. Conclusively, we show that Robo3 function has been uniquely converted during mammalian evolution. Such mechanistic diversification through molecular evolution in one specific gene likely underlies fine-tuning of mammalian voluntary movement control
Allen, Richard Charles. "Secreted virulence factors : evolution, ecology and therapeutic manipulation." Thesis, University of Edinburgh, 2016. http://hdl.handle.net/1842/25789.
Повний текст джерелаVichitsorasatra, Natee. "The evolution of cooperation between the European community and East Asia." Thesis, Loughborough University, 2007. https://dspace.lboro.ac.uk/2134/8113.
Повний текст джерелаLee, William. "The evolution of cooperation and diversity in public good producing organisms." Thesis, Royal Holloway, University of London, 2013. http://repository.royalholloway.ac.uk/items/57a5032b-ce0d-1e40-a7da-3d85a0df5d57/6/.
Повний текст джерелаMiller, Steven. "Network fluctuation as an explanatory factor in the evolution of cooperation." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/network-fluctuation-as-an-explanatory-factor-in-the-evolution-of-cooperation(56d08050-ce8d-408d-89b9-5cbe1f70f25d).html.
Повний текст джерелаHan, The Anh. "Intention recognition, commitment and their roles in the evolution of cooperation." Doctoral thesis, Faculdade de Ciências e Tecnologia, 2012. http://hdl.handle.net/10362/8784.
Повний текст джерелаThe goal of this thesis is twofold. First, intention recognition is studied from an Arti cial Intelligence (AI) modeling perspective. We present a novel and e cient intention recognition method that possesses several important features: (i) The method is context-dependent and incremental, enabled by incrementally constructing a three-layer Bayesian network model as more actions are observed, and in a context-dependent manner, relying on a logic programming knowledge base concerning the context; (ii) The Bayesian network is composed from a knowledge base of readily speci ed and readily maintained Bayesian network fragments with simple structures, enabling an e cient acquisition of the corresponding knowledge base (either from domain experts or else automatically from a plan corpus); and, (iii) The method addresses the issue of intention change and abandonment, and can appropriately resolve the issue of multiple intentions recognition. Several aspects of the method are evaluated experimentally, achieving some de nite success. Furthermore, on top of the intention recognition method, a novel framework for intention-based decision making is provided, illustrating several ways in which an ability to recognize intentions of others can enhance a decision making process. A second subgoal of the thesis concerns that, whereas intention recognition has been extensively studied in small scale interactive settings, there is a major shortage of modeling research with respect to large scale social contexts, namely evolutionary roles and aspects of intention recognition. Employing our intention recognition method and the tools of evolutionary game theory, this thesis explicitly addresses the roles played by intention recognition in the nal outcome of cooperation in large populations of self-regarding individuals. By equipping individuals with the capacity for assessing intentions of others in the course of social dilemmas, we show how intention recognition is selected by natural selection, opening a window of opportunity for cooperation to thrive, even in hard cooperation prone games like the Prisoner's Dilemma. In addition, there are cases where it is di cult, if not impossible, to recognize the intentions of another agent. In such cases, the strategy of proposing commitment, or of intention manifestation, can help to impose or clarify the intentions of others. Again using the tools of evolutionary game theory, we show that a simple form of commitment can lead to the emergence of cooperation; furthermore, the combination of commitment with intention recognition leads to a strategy better than either one by itself. How the thesis should be read? We recommend that the thesis be read sequentially, chapter by chapter [1-2-3-4-5-6-7-8]. However, for those more interested in intention recognition from the AI modeling perspective, i.e. the rst subgoal of the thesis, Chapters 6 and 7 can be omitted and Chapters 4 and 5 are optional [1-2-3-(4)-(5)-8]. In addition, for those more keen on the problem of the evolution of cooperation, i.e. the second subgoal of thesis, Chapter 3 and even Chapter 2, can be omitted [1-(2)-4-5-6-7-8].
Fundação para a Ciência e Tecnologia - PhD grant (ref. SFRH/BD/62373/2009)
Hanley, James E. "The role of non-cooperative games in the evolution of cooperation /." view abstract or download file of text, 2000. http://wwwlib.umi.com/cr/uoregon/fullcit?p9986740.
Повний текст джерелаTypescript. Includes vita and abstract. Includes bibliographical references (leaves 115-123). Also available for download via the World Wide Web; free to University of Oregon users.
Levando, Dmitry <1966>. "Essays on trade and cooperation." Doctoral thesis, Università Ca' Foscari Venezia, 2012. http://hdl.handle.net/10579/1177.
Повний текст джерелаSun, Song. "Dynamics and Mechanisms of Adaptive Evolution in Bacteria." Doctoral thesis, Uppsala universitet, Institutionen för medicinsk biokemi och mikrobiologi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-172786.
Повний текст джерелаTholander, Fredrik Otto. "Catalytic mechanisms and evolution of leukotriene A₄ hydrolyse /." Stockholm, 2006. http://diss.kib.ki.se/2006/91-7140-952-1/.
Повний текст джерелаStilwell, Peter Robert. "The ecology and evolution of diversity and cooperation in bacterial public-goods." Thesis, University of Exeter, 2017. http://hdl.handle.net/10871/33191.
Повний текст джерелаCrosby, Garth Valentine. "Trust Based Security Mechanisms for Wireless Sensor Networks." FIU Digital Commons, 2007. http://digitalcommons.fiu.edu/etd/61.
Повний текст джерелаPlunket, Anne. "Evolution de la cooperation : contribution a l'etude des determinants des processus d'evolution et de selection de la cooperation technologique." Paris 11, 1999. http://www.theses.fr/1999PA111002.
Повний текст джерелаThis thesis proposes a theoretical framework to study the evolution of technological interfirm agreements. It applies directly evolutionary notions, namely the selection principle (lamarckian and darwinian) to the dynamics of agreements. The evolution of cooperation appears as the result of processes of adaptation and selection acting on three units of selection (the governance structure, the competencies-routines, the projects-strategies). These units depend on two selection environments: an internal environment determined by two interrelated dynamics : the evolution of cooperation as an input (contractuel arrangements and incentives to allocate ressources to the agreement) and as an output (products of cooperation such as the institutionalization process and the creation of ressources), and an external environment (institutional and economic context). These environments act on the three units of selection, i. E. On, respectively, the contractual (coordination potential, i. E. The market, hierarchy, cooperation trade-off), the cognitive (capacity to create new products and know how) and the economic dimension (capacity to generate profits) of the agreement. Thus, the evolution and survival of cooperation do not depend on a single selection criterion but on a set of selection criteria which jointly determine the reinforcement (i. E. Continuity) or the breach of the agreement. The mecanisms of selection explain the evolution of cooperation through adaptation and selection processes. The thesis is based on 25 case stydies of eureka agreements in the field of biotechnologies and new materials
Roydan, Alexa. "Legitimacy and international public authority : the evolution of IAEA safeguards." Thesis, University of St Andrews, 2010. http://hdl.handle.net/10023/984.
Повний текст джерелаJolly, Jennifer Elaine. "The evolution and development of international health collaboration." Thesis, University of British Columbia, 1987. http://hdl.handle.net/2429/26847.
Повний текст джерелаArts, Faculty of
Political Science, Department of
Graduate
Gale, J. L. H. "Nature's secret art : the evolution of conventions, cooperation and customary international law." Thesis, University of Cambridge, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.599274.
Повний текст джерелаArtemova, Tatiana. "The role of cooperation and dispersal in the evolution of antibiotic resistance." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/99315.
Повний текст джерелаCataloged from PDF version of thesis.
Includes bibliographical references (pages 89-92).
Understanding mechanisms of evolution under in real biological systems is a fundamental problem. Natural selection is one of the mechanisms that drive evolution. Due to the natural selection, phenotypes with higher fitness than the rest of the population increase in frequency and eventually dominate the populations. In real biological systems due to interactions between individuals within a population, it is not always obvious how natural selection manifests itself. Here we consider two types of interactions cooperative antibiotic break down and spatially expanding populations. In each of the cases predicting which phenotype is the most fit and the patterns corresponding to selection of this phenotype could be not straightforward. (1) Bacterial antibiotic resistance is typically quantified by the minimum inhibitory concentration (MIC), which is defined as the minimal concentration of antibiotic that inhibits bacterial growth starting from a standard cell density. However, when antibiotic resistance is mediated by degradation, the collective inactivation of antibiotic by the bacterial population causes the measured MIC to depend strongly on the initial cell density. Given this dependence, the relationship between MIC and bacterial fitness in such cases is not well-defined. Here we demonstrate that the resistance of a single, isolated cell-which we call the single cell MIC (scMIC)-provides a superior metric for quantifying antibiotic resistance. Unlike the MIC, we find that the scMIC predicts the direction of selection and also specifies the antibiotic concentration at which selection begins to favor new mutants. Understanding the cooperative nature of bacterial growth in antibiotics is therefore essential in predicting the evolution of antibiotic resistance. (2) During the expansions of natural populations, new phenotype can emerge. If it is fitter than the rest of the population, it will take over. However, the exact spatial patterns of this process are unknown. Here we show that for a wide class of models the fraction of the fit mutant should increase exponentially. We also observe this pattern experimentally by observing bacterial populations expanding in soft agar, as well as connection between the steepness of the exponent to the fitness difference.
by Tatiana Artemova.
Ph. D.
von, Lippke Ilonka S. "Ecology and evolution of cooperation in the Española Mockingbird Nesomimus macdonaldi, Galápagos." Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1619490561&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.
Повний текст джерелаYe, Jong Young. "Cooperation beyond rivalry : world system evolution and U.S.-Japan relations since 1945 /." Thesis, Connect to this title online; UW restricted, 2001. http://hdl.handle.net/1773/10790.
Повний текст джерелаOkada, Isamu, Hitoshi Yamamoto, Fujio Toriumi, and Tatsuya Sasaki. "The Effect of Incentives and Meta-incentives on the Evolution of Cooperation." Public Library of Science, 2015. http://dx.doi.org/10.1371/journal.pcbi.1004232.
Повний текст джерелаEldakar, Omar Tonsi. "Explaining individual differences in cooperation, cheating and punishment." Diss., Online access via UMI:, 2005.
Знайти повний текст джерелаPawlowska, Bogna Julia. "Mathematical models of microbial evolution : cooperative systems." Thesis, University of Exeter, 2016. http://hdl.handle.net/10871/26819.
Повний текст джерелаPoulshock, Joseph W. "Language and morality : evolution, altruism, and linguistic moral mechanisms." Thesis, University of Edinburgh, 2006. http://hdl.handle.net/1842/25094.
Повний текст джерелаMandic, Milica. "Mechanisms and evolution of hypoxia tolerance in family Cottidae." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/2518.
Повний текст джерелаLinkevičius, Marius. "Evolution and Mechanisms of Tigecycline Resistance in Escherichia coli." Doctoral thesis, Uppsala universitet, Institutionen för medicinsk biokemi och mikrobiologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-259226.
Повний текст джерелаMcGranahan, N. L. "Mechanisms of cancer evolution and drivers of tumour heterogeneity." Thesis, University College London (University of London), 2015. http://discovery.ucl.ac.uk/1473445/.
Повний текст джерелаFreschi, Luca. "Post-translational modifications regulatory networks : evolution, mechanisms et implications." Doctoral thesis, Université Laval, 2015. http://hdl.handle.net/20.500.11794/25812.
Повний текст джерелаPost-translational modifications (PTMs) are chemical modification of proteins that allow the cell to finely tune its functions as well as to encode and integrate environmental signals. The recent advancements in the experimental and bioinformatic techniques have allowed us to determine the PTM profiles of entire proteomes as well as to identify the molecules that write or erase PTMs to/from each protein. This data have made possible to define cellular PTM regulatory networks. Here, we study the evolution of these networks to get new insights about how they may contribute to increase organismal complexity and diversity and to better understand their molecular mechanisms of functioning. We first address the question of how and to which extent a PTM network can be rewired after a gene duplication event, by studying how the budding yeast phosphoregulatory network was rewired after a whole genome duplication event that occurred 100 million years ago. Our results highlight the role of gene duplication as a key mechanism to innovate and complexify PTM regulatory networks. Then, we address the question of how PTM networks may contribute to organismal diversity by comparing the human and mouse phosphorylation profiles. We find that there are substantial differences in the PTM profiles of these two species that have the potential to explain, at least in part, the phenotypic differences observed between them. Moreover, we find evidence supporting the idea that PTMs can jump to new positions during evolution and still regulate the same biological functions. This phenomenon should be taken into account when comparing the PTM profiles of different species, in order to avoid overestimating the divergence in PTM regulation. Finally, we investigate how multiple and alternative PTMs that affect the same residues interact with each other to control proteins functions. We focus on two of the most studied PTMs, protein phosphorylation and O-GlcNAcylation, that affect serine and threonine residues and we study their potential mechanisms of interactions in human and mouse. Our results support the hypothesis that these two PTMs control multiple biological functions rather than a single one. Globally this work provides new findings that elucidate the evolutionary dynamics, the functional mechanisms and the biological implications of PTMs.