Complexity and the Human Experience: Modeling Complexity in by Paul A. Youngman, Mirsad Hadzikadic

By Paul A. Youngman, Mirsad Hadzikadic

Questions of values, ontologies, ethics, aesthetics, discourse, origins, language, literature, and that means don't lend themselves quite simply, or often, to equations, possibilities, and types. despite the fact that, with the elevated adoption of normal technological know-how instruments in economics, anthropology, and political science—to identify just a couple of social medical fields highlighted during this volume—quantitative equipment within the humanities have gotten extra universal.

The concept of complexity holds major promise for higher figuring out social and human phenomena in accordance with interactions one of the engaging "agents," no matter what they're: a proposal, somebody, a talk, a sentence, or an e-mail. Such platforms can express section transitions, suggestions loops, self-organization, and emergent houses. those dynamic structures lend themselves obviously to the type of research made attainable by way of types and simulations built with complicated technology instruments. This quantity bargains a travel of quantitative analyses, types, and simulations of humanities and social technology phenomena which were traditionally the purview of qualitative tools.

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Extra resources for Complexity and the Human Experience: Modeling Complexity in the Humanities and Social Sciences

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Each of these will be equally polarized in the sense of polarization as coverage. Counting the number of empty regions between regions of occupied spaces, however, gives us a measure of polarization in which (c) is more polarized than (b), which is in turn more polarized than (a). Regionalization seems a further intuitive sense of polarization well worth quantifying. It should be noted that regionalization per se does not distinguish between the case in which (b) bins 0–25 and 30–55 are filled, and (d) that in which 0–25 and 75–100 are filled.

11, 563–588. 14. , Singer, D. , and Majewicz, S. (2010). What you believe travels differently: information and infection dynamics across sub-networks, Connections, 30, 50–63. 15. , Singer, D. , and Majewicz, S. (2011). Information dynamics across linked sub-networks: germs, genes, and memes, Proceedings, AAAI Fall Symposium on Complex Adaptive Systems: Energy, Information and Intelligence, FS-11-03, AAAI Press. 16. , Singer, D. , and Fisher, S. (2012). Germs, genes, and memes: function and fitness dynamics on information networks, ALife 13 Proceedings (MIT Press, Cambridge MA).

1â•… Conceptualization of Moral Hypocrisy Our model implements the conceptual idea of moral hypocrisy by distinguishing two different types of agent-states: the reputation of the agent, either morally good (G) or bad (B), and its disposition to act toward temptations, that is, either to be tempted (T) or to resist a temptation (R). The combinations of these states offer four different behaviors to the agents: appearing good and resisting a temptation (GR; “good guys”), appearing good but being tempted (GT; “hypocrites”), appearing bad and being tempted (BT; “bad guys”) and appearing bad but resisting temptations (BR; “inconsistent guys”).

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