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  • 1
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    American Association for the Advancement of Science (AAAS)
    Publication Date: 2001-01-06
    Description: Universal grammar specifies the mechanism of language acquisition. It determines the range of grammatical hypothesis that children entertain during language learning and the procedure they use for evaluating input sentences. How universal grammar arose is a major challenge for evolutionary biology. We present a mathematical framework for the evolutionary dynamics of grammar learning. The central result is a coherence threshold, which specifies the condition for a universal grammar to induce coherent communication within a population. We study selection of grammars within the same universal grammar and competition between different universal grammars. We calculate the condition under which natural selection favors the emergence of rule-based, generative grammars that underlie complex language.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Nowak, M A -- Komarova, N L -- Niyogi, P -- New York, N.Y. -- Science. 2001 Jan 5;291(5501):114-8.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Institute for Advanced Study, Einstein Drive, Princeton, NJ 08540, USA. nowak@ias.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/11141560" target="_blank"〉PubMed〈/a〉
    Keywords: Algorithms ; *Biological Evolution ; Child ; Humans ; Language ; *Learning ; *Linguistics ; Mathematics ; Memory ; Selection, Genetic
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2010-08-27
    Description: Eusociality, in which some individuals reduce their own lifetime reproductive potential to raise the offspring of others, underlies the most advanced forms of social organization and the ecologically dominant role of social insects and humans. For the past four decades kin selection theory, based on the concept of inclusive fitness, has been the major theoretical attempt to explain the evolution of eusociality. Here we show the limitations of this approach. We argue that standard natural selection theory in the context of precise models of population structure represents a simpler and superior approach, allows the evaluation of multiple competing hypotheses, and provides an exact framework for interpreting empirical observations.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3279739/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3279739/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Nowak, Martin A -- Tarnita, Corina E -- Wilson, Edward O -- R01 GM078986/GM/NIGMS NIH HHS/ -- R01 GM078986-04/GM/NIGMS NIH HHS/ -- R01GM078986/GM/NIGMS NIH HHS/ -- England -- Nature. 2010 Aug 26;466(7310):1057-62. doi: 10.1038/nature09205.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Program for Evolutionary Dynamics, Department of Mathematics, Harvard University, Cambridge, Massachusetts 02138, USA. martin_nowak@harvard.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20740005" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Behavior, Animal/*physiology ; *Biological Evolution ; Female ; Humans ; Insects/physiology ; Male ; Models, Biological ; Selection, Genetic ; *Social Behavior
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 3
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    Nature Publishing Group (NPG)
    Publication Date: 2008-12-05
    Description: 〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2711890/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2711890/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Nowak, Martin A -- R01 GM078986/GM/NIGMS NIH HHS/ -- R01 GM078986-03/GM/NIGMS NIH HHS/ -- England -- Nature. 2008 Dec 4;456(7222):579. doi: 10.1038/456579a.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Harvard University, USA. nowak@fas.harvard.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19052610" target="_blank"〉PubMed〈/a〉
    Keywords: Altruism ; Biological Evolution ; *Cooperative Behavior ; Cost-Benefit Analysis ; Humans ; Intelligence ; Reproduction ; Selection, Genetic
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 4
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    American Association for the Advancement of Science (AAAS)
    Publication Date: 2006-12-13
    Description: Cooperation is needed for evolution to construct new levels of organization. Genomes, cells, multicellular organisms, social insects, and human society are all based on cooperation. Cooperation means that selfish replicators forgo some of their reproductive potential to help one another. But natural selection implies competition and therefore opposes cooperation unless a specific mechanism is at work. Here I discuss five mechanisms for the evolution of cooperation: kin selection, direct reciprocity, indirect reciprocity, network reciprocity, and group selection. For each mechanism, a simple rule is derived that specifies whether natural selection can lead to cooperation.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3279745/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3279745/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Nowak, Martin A -- 1R01GM078986-01/GM/NIGMS NIH HHS/ -- R01 GM078986/GM/NIGMS NIH HHS/ -- R01 GM078986-04/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2006 Dec 8;314(5805):1560-3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Program for Evolutionary Dynamics, Department of Organismic and Evolutionary Biology, and Department of Mathematics, Harvard University, Cambridge, MA 02138, USA. martin_nowak@harvard.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/17158317" target="_blank"〉PubMed〈/a〉
    Keywords: *Biological Evolution ; Community Networks ; *Cooperative Behavior ; Family ; Game Theory ; Helping Behavior ; Humans ; Mathematics ; Selection, Genetic
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 5
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    Unknown
    American Association for the Advancement of Science (AAAS)
    Publication Date: 2004-02-07
    Description: Darwinian dynamics based on mutation and selection form the core of mathematical models for adaptation and coevolution of biological populations. The evolutionary outcome is often not a fitness-maximizing equilibrium but can include oscillations and chaos. For studying frequency-dependent selection, game-theoretic arguments are more appropriate than optimization algorithms. Replicator and adaptive dynamics describe short- and long-term evolution in phenotype space and have found applications ranging from animal behavior and ecology to speciation, macroevolution, and human language. Evolutionary game theory is an essential component of a mathematical and computational approach to biology.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Nowak, Martin A -- Sigmund, Karl -- New York, N.Y. -- Science. 2004 Feb 6;303(5659):793-9.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Program for Evolutionary Dynamics, Department of Mathematics, Department of Organismic and Evolutionary Biology, Harvard University, 1 Brattle Square, Cambridge, MA 02138, USA. martin_nowak@harvard.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/14764867" target="_blank"〉PubMed〈/a〉
    Keywords: Adaptation, Biological ; Algorithms ; Animals ; *Biological Evolution ; Ecosystem ; Evolution, Molecular ; Female ; *Game Theory ; Genetics, Population ; Humans ; Male ; Mathematics ; Selection, Genetic
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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