22 found
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  1. Niche Construction, Biological Evolution, and Cultural Change.Kevin N. Laland, John Odling-Smee & Marcus W. Feldman - 2000 - Behavioral and Brain Sciences 23 (1):131-146.
    We propose a conceptual model that maps the causal pathways relating biological evolution to cultural change. It builds on conventional evolutionary theory by placing emphasis on the capacity of organisms to modify sources of natural selection in their environment (niche construction) and by broadening the evolutionary dynamic to incorporate ontogenetic and cultural processes. In this model, phenotypes have a much more active role in evolution than generally conceived. This sheds light on hominid evolution, on the evolution of culture, and on (...)
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  2. What is Altruism?Benjamin Kerr, Peter Godfrey-Smith & Marcus W. Feldman - unknown
    Altruism is generally understood to be behavior that benefits others at a personal cost to the behaving individual. However, within evolutionary biology, different authors have interpreted the concept of altruism differently, leading to dissimilar predictions about the evolution of altruistic behavior. Generally, different interpretations diverge on which party receives the benefit from altruism and on how the cost of altruism is assessed. Using a simple trait-group framework, we delineate the assumptions underlying different interpretations and show how they relate to one (...)
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  3.  74
    On the Breadth and Significance of Niche Construction: A Reply to Griffiths, Okasha and Sterelny. [REVIEW]Kevin N. Laland, John Odling-Smee & Marcus W. Feldman - 2005 - Biology and Philosophy 20 (1):37-55.
  4.  14
    The Generational Cycle of State Spaces and Adequate Genetical Representation.Elisabeth A. Lloyd, Richard C. Lewontin & Marcus W. Feldman - 2008 - Philosophy of Science 75 (2):140-156.
    Most models of generational succession in sexually reproducing populations necessarily move back and forth between genic and genotypic spaces. We show that transitions between and within these spaces are usually hidden by unstated assumptions about processes in these spaces. We also examine a widely endorsed claim regarding the mathematical equivalence of kin-, group-, individual-, and allelic-selection models made by Lee Dugatkin and Kern Reeve. We show that the claimed mathematical equivalence of the models does not hold.
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  5.  7
    Marriage, Health, and Old-Age Support: Risk to Rural Involuntary Bachelors’ Family Development in Contemporary China.Yang Meng, Bo Yang, Shuzhuo Li & Marcus W. Feldman - 2021 - Asian Bioethics Review 13 (1):77-89.
    In the traditional system of Chinese families, individuals are embedded in the institution of the family with defined obligations to enhance family development. As a consequence of the male-biased sex ratio at birth in China since the 1980s, an increasing number of surplus rural males have been affected by a marriage squeeze becoming involuntary bachelors. Under China’s universal heterosexual marriage tradition, family development of rural involuntary bachelors has largely been ignored, but in China’s gender-imbalanced society, it is necessary to adopt (...)
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  6.  9
    A Genetic Simulated Annealing Algorithm to Optimize the Small-World Network Generating Process.Haifeng Du, Jiarui Fan, Xiaochen He & Marcus W. Feldman - 2018 - Complexity 2018:1-12.
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  7.  29
    The Cultural and Demographic Evolution of Son Preference and Marriage Type in Contemporary China.Laurel Fogarty & Marcus W. Feldman - 2011 - Biological Theory 6 (3):272-282.
    A skew in sex ratio at birth occurs across much of Asia and North Africa. The resulting gender imbalance in favor of men in the adult population causes a number of serious social problems, including increased violence against women and an increasing number of “forced bachelors” in many areas. Here we concentrate on the sex ratio at birth in China and model two causal factors specific to Chinese culture: a traditional preference for sons over daughters and a preference for brides (...)
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  8.  26
    A Genetic Algorithm with Local Search Strategy for Improved Detection of Community Structure.Shuzhuo Li, Yinghui Chen, Haifeng Du & Marcus W. Feldman - 2010 - Complexity 15 (4):NA-NA.
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  9.  27
    Gender Differences in Child Survival in Contemporary Rural China: A County Study.Shuzhuo Li, Chuzhu Zhu & Marcus W. Feldman - 2004 - Journal of Biosocial Science 36 (1):83-109.
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  10.  35
    Group Selection: A Niche Construction Perspective.Kevin N. Laland, F. John Odling-Smee & Marcus W. Feldman - 2000 - Journal of Consciousness Studies 7 (1-2):1-2.
    Group selection, as advocated by Sober and Wilson, is theoretically plausible, although it remains an open question as to what extent it occurs in nature. If group selection has operated in hominids, it is likely to have selected cultural not genetic variation. A focus on niche construction helps delineate the conditions under which cooperation is favoured. Group selection may favour between-group conflict as well as within-group cooperation.
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  11.  45
    An Algorithm for Detecting Community Structure of Social Networks Based on Prior Knowledge and Modularity.Haifeng Du, Marcus W. Feldman, Shuzhuo Li & Xiaoyi Jin - 2007 - Complexity 12 (3):53-60.
  12.  15
    The Decline in China’s Fertility Level: A Decomposition Analysis.Quanbao Jiang, Shucai Yang, Shuzhuo Li & Marcus W. Feldman - 2019 - Journal of Biosocial Science 51 (6):785-798.
    Many factors have contributed to the decline in China’s fertility level. Using China’s population census data from 1990, 2000 and 2010, the present study investigates the factors causing the decline in China’s fertility rate by decomposing changes in two fertility indices: the total fertility rate and the net reproduction rate. The change in the TFR is decomposed into the change in the marital fertility rate and the change in the proportion of married women. Four factors contribute to the change in (...)
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  13.  25
    On the Evolution of Recombination in Haploids and Diploids: I. Deterministic Models.Aviv Bergman, Sarah P. Otto & Marcus W. Feldman - 1995 - Complexity 1 (1):57-67.
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  14.  12
    The Evolution of Cooperation on the Internet.Adi Livnat & Marcus W. Feldman - 2001 - Complexity 6 (6):19-23.
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  15.  9
    Structural Balance in Fully Signed Networks.Haifeng Du, Xiaochen He & Marcus W. Feldman - 2016 - Complexity 21 (S1):497-511.
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  16.  5
    Beyond Uncertainty: A Broader Scope for “Incentive Hope” Mechanisms and its Implications.Omer Linkovski, Noam Weinbach, Shimon Edelman, Marcus W. Feldman, Arnon Lotem & Oren Kolodny - 2019 - Behavioral and Brain Sciences 42.
    We propose that food-related uncertainty is but one of multiple cues that predicts harsh conditions and may activate “incentive hope.” An evolutionarily adaptive response to these would have been to shift to a behavioral-metabolic phenotype geared toward facing hardship. In modernity, this phenotype may lead to pathologies such as obesity and hoarding. Our perspective suggests a novel therapeutic approach.
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  17.  12
    On the Complexity of Cultural Transmission and Evolution.Marcus W. Feldman, Luigi L. Cavalli-Sforza & Lev A. Zhivotovsky - forthcoming - Complexity.
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  18.  53
    Niche Construction Earns its Keep.Kevin N. Laland, John Odling-Smee & Marcus W. Feldman - 2000 - Behavioral and Brain Sciences 23 (1):164-172.
    Our response contains a definition of niche construction, illustrations of how it changes the evolutionary process, and clarifications of our conceptual model. We argue that the introduction of niche construction into evolutionary thinking earns its keep; we illustrate this argument in our discussion of rates of genetic and cultural evolution, memes and phenogenotypes, creativity, the EEA (environment of evolutionary adaptedness), and group selection.
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  19.  8
    On the Evolution of Recombination in Haploids and Diploids: II. Stochastic Models.Aviv Bergman, Sarah P. Otto & Marcus W. Feldman - 1995 - Complexity 1 (2):49-57.
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  20.  6
    On the Evolution of Recombination in Haploids and Diploids: I. Deterministic Models.Aviv Bergman, Sarah P. Otto & Marcus W. Feldman - 1995 - Complexity 1 (1):57-67.
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  21.  11
    Algorithms, Genetics, and Populations: The Schemata Theorem Revisited.Freddy Bugge Christiansen & Marcus W. Feldman - 1998 - Complexity 3 (3):57-64.
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  22.  1
    Optimization of the Critical Diameter and Average Path Length of Social Networks.Haifeng Du, Xiaochen He, Wei Du & Marcus W. Feldman - 2017 - Complexity 2017:1-11.
    Optimizing average path length by adding shortcut edges has been widely discussed in connection with social networks, but the relationship between network diameter and APL is generally ignored in the dynamic optimization of APL. In this paper, we analyze this relationship and transform the problem of optimizing APL into the problem of decreasing diameter to 2. We propose a mathematic model based on a memetic algorithm. Experimental results show that our algorithm can efficiently solve this problem as well as optimize (...)
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