Alle Publikationen
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2015
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(2015): Evolutionary dynamics of group fairness. In: Journal of theoretical biology 378, S. 96-102. DOI: 10.1016/j.jtbi.2015.04.025
DOI: http://www.ncbi.nlm.nih.gov/pubmed/25936348 Abstract: The emergence and impact of fairness is commonly studied in the context of 2-person games, notably the Ultimatum Game. Often, however, humans face problems of collective action involving more than two individuals where fairness is known to play a very important role, and whose dynamics cannot be inferred from what is known from 2-person games. Here, we propose a generalization of the Ultimatum Game for an arbitrary number of players--the Multiplayer Ultimatum Game. Proposals are made to a group of responders who must individually reject or accept the proposal. If the total number of individual acceptances stands below a given threshold, the offer will be rejected; otherwise, the offer will be accepted, and equally shared by all responders. We investigate the evolution of fairness in populations of individuals by means of evolutionary game theory, providing both analytical insights and results from numerical simulations. We show how imposing stringent consensuses significantly increases the value of the proposals, leading to fairer outcomes and more tolerant players. Furthermore, we show how stochastic effects--such as imitation errors and/or errors when assessing the fitness of others--may further enhance the overall success in reaching fair collective action.
2010
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(2010): Emotion processing and the amygdala: from a 'low road' to 'many roads' of evaluating biological significance. In: Nature reviews. Neuroscience 11 (11), S. 773-783. DOI: 10.1038/nrn2920
DOI: https://doi.org/10.1038/nrn2920 Abstract: A subcortical pathway through the superior colliculus and pulvinar to the amygdala is commonly assumed to mediate the non-conscious processing of affective visual stimuli. We review anatomical and physiological data that argue against the notion that such a pathway plays a prominent part in processing affective visual stimuli in humans. Instead, we propose that the primary role of the amygdala in visual processing, like that of the pulvinar, is to coordinate the function of cortical networks during evaluation of the biological significance of affective visual stimuli. Under this revised framework, the cortex has a more important role in emotion processing than is traditionally assumed.
2005
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(2005): Evolution of indirect reciprocity. In: Nature 437 (7063), S. 1291-1298. DOI: 10.1038/nature04131
DOI: http://www.ncbi.nlm.nih.gov/pubmed/16251955 Abstract: Natural selection is conventionally assumed to favour the strong and selfish who maximize their own resources at the expense of others. But many biological systems, and especially human societies, are organized around altruistic, cooperative interactions. How can natural selection promote unselfish behaviour? Various mechanisms have been proposed, and a rich analysis of indirect reciprocity has recently emerged: I help you and somebody else helps me. The evolution of cooperation by indirect reciprocity leads to reputation building, morality judgement and complex social interactions with ever-increasing cognitive demands.
Keywords: Altruism, Biological Evolution, Biologie, Cooperative Behavior, Evolutionsbiologie, Genese von Normen, Good manners, Humans, Indirekte Reziprozität, Kooperation, Models, Biological, Morals, Natur & Genese von Normen, Normen, Observablen/Kriterien für sozial angemessenes Verhalten und dessen Bewertung, Reziprozität, Soziale Angemessenheit, Trust, Voraussetzungen für sozial angemessenes Verhalten 2004
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(2004): Models of social networks based on social distance attachment. In: Physical review. E, Statistical, nonlinear, and soft matter physics 70 (5 Pt 2). DOI: 10.1103/PhysRevE.70.056122
DOI: http://www.ncbi.nlm.nih.gov/pubmed/15600707 Abstract: We propose a class of models of social network formation based on a mathematical abstraction of the concept of social distance. Social distance attachment is represented by the tendency of peers to establish acquaintances via a decreasing function of the relative distance in a representative social space. We derive analytical results (corroborated by extensive numerical simulations), showing that the model reproduces the main statistical characteristics of real social networks: large clustering coefficient, positive degree correlations, and the emergence of a hierarchy of communities. The model is confronted with the social network formed by people that shares confidential information using the Pretty Good Privacy (PGP) encryption algorithm, the so-called web of trust of PGP.
Keywords: Algorithms, Computer Simulation, degree of acquaintance, Disziplin, Favoriten, Gruppenverhalten / Joint Action, Hierarchy, Social, Interpersonal Relations, Modelle/Theorien, Models, Biological, Netzwerktheorien, Population Dynamics, Residence Characteristics, Social Behavior, Social Change, Social Distance, social networks based on social distance, Social Support, Soziale Angemessenheit, Soziale Distanz, Soziologie, SV 2002
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(2002): Random graph models of social networks. In: Proceedings of the National Academy of Sciences of the United States of America 991, S. 2566-2572. DOI: 10.1073/pnas.012582999
DOI: http://www.ncbi.nlm.nih.gov/pubmed/11875211 Abstract: We describe some new exactly solvable models of the structure of social networks, based on random graphs with arbitrary degree distributions. We give models both for simple unipartite networks, such as acquaintance networks, and bipartite networks, such as affiliation networks. We compare the predictions of our models to data for a number of real-world social networks and find that in some cases, the models are in remarkable agreement with the data, whereas in others the agreement is poorer, perhaps indicating the presence of additional social structure in the network that is not captured by the random graph.
2000
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(2000): Strong reciprocity and human sociality. In: Journal of theoretical biology 206 (2), S. 169-179. DOI: 10.1006/jtbi.2000.2111
DOI: http://www.ncbi.nlm.nih.gov/pubmed/10966755 Abstract: Human groups maintain a high level of sociality despite a low level of relatedness among group members. This paper reviews the evidence for an empirically identifiable form of prosocial behavior in humans, which we call "strong reciprocity", that may in part explain human sociality. A strong reciprocator is predisposed to cooperate with others and punish non-cooperators, even when this behavior cannot be justified in terms of extended kinship or reciprocal altruism. We present a simple model, stylized but plausible, of the evolutionary emergence of strong reciprocity.
Keywords: Altruism, Biological Evolution, Cooperative Behavior, Evolutionsbiologie, Favoriten, Good manners, Humans, Interaktion, Kooperation, Models, Biological, Observablen/Kriterien für sozial angemessenes Verhalten und dessen Bewertung, Reziprozität, Soziale Angemessenheit, Starke Reziprozität, Strong reciprocity model
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