Alle Publikationen
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2018
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(2018): Spillover modes in multiplex games. Double-edged effects on cooperation and their coevolution. In: Scientific reports 8 (1). DOI: 10.1038/s41598-018-25025-3
DOI: http://www.ncbi.nlm.nih.gov/pubmed/29720679 Abstract: In recent years, there has been growing interest in studying games on multiplex networks that account for interactions across linked social contexts. However, little is known about how potential cross-context interference, or spillover, of individual behavioural strategy impact overall cooperation. We consider three plausible spillover modes, quantifying and comparing their effects on the evolution of cooperation. In our model, social interactions take place on two network layers: repeated interactions with close neighbours in a lattice, and one-shot interactions with random individuals. Spillover can occur during the learning process with accidental cross-layer strategy transfer, or during social interactions with errors in implementation. Our analytical results, using extended pair approximation, are in good agreement with extensive simulations. We find double-edged effects of spillover: increasing the intensity of spillover can promote cooperation provided cooperation is favoured in one layer, but too much spillover is detrimental. We also discover a bistability phenomenon: spillover hinders or promotes cooperation depending on initial frequencies of cooperation in each layer. Furthermore, comparing strategy combinations emerging in each spillover mode provides good indication of their co-evolutionary dynamics with cooperation. Our results make testable predictions that inspire future research, and sheds light on human cooperation across social domains.
Keywords: COMMONS, Disziplin, EVOLUTIONARY GAMES, Favoriten, GRAPHS, Interaction, Interaktion, interference of social interaction, Kooperation, Mathematik, NETWORKS, Netzwerk, Observablen/Kriterien für sozial angemessenes Verhalten und dessen Bewertung, social interaction, Soziale Angemessenheit, Soziologie, spillover effects, Voraussetzungen für sozial angemessenes Verhalten 2005
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(2005): Nonlinearity, chaos, and complexity. The dynamics of natural and social systems. Oxford; New York: Oxford University Press. Online verfügbar unter http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=177022
Abstract: Covering a broad range of topics, this text provides a comprehensive survey of the modelling of chaotic dynamics and complexity in the natural and social sciences. Its attention to models in both the physical and social sciences and the detailed philosophical approach make this an unique text in the midst of many current books on chaos and complexity. Part 1 deals with the mathematical model as an instrument of investigation. The general meaning of modelling and, more specifically, questions concerning linear modelling are discussed. Part 2 deals with the theme of chaos and the origin of chaotic dynamics. Part 3 deals with the theme of complexity: a property of the systems and of their models which is intermediate between stability and chaos. Including an extensive index and bibliography along with numerous examples and simplified models, this is an ideal course text.
Keywords: Adaptive Systeme, Chaos, Chaotic behavior in systems, Dynamics, Dynamique, Im (wissenschaftlichen) Diskurs, Komplexitätsforschung, Künstliche Intelligenz, Mathematical models, Mathematik, Mensch-Technik-Relationen (MTR), Modèles mathématiques, Modell, Modellierung, Multi-Agenten-Systeme, Nonlinear theories, Ontologische Differenzierungen: Tier, Mensch, Maschine, Realtechnik, Reflexionen über MTR, social systems, Soziale Ordnung, Soziale Systeme, Systemtheorie, Technik, Théories non linéaires, Überblick 1949
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(1949): The mathematical theory of communication. Urbana: Univ. of Illinois Press
Abstract: The mathematical theory of communication, by C. E. Shannon. Recent contributions to the mathematical theory of communication, by W. Weaver
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