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Advances in Social Simulation: Proceedings of the 9th - download pdf or read online

By Syed Muhammad Ali Abbas, Shah Jamal Alam, Bruce Edmonds (auth.), Bogumił Kamiński, Grzegorz Koloch (eds.)

ISBN-10: 3642398286

ISBN-13: 9783642398285

ISBN-10: 3642398294

ISBN-13: 9783642398292

This publication is the convention complaints of ESSA 2013, the 9th convention of the ecu Social Simulation organization. ESSA meetings represent annual occasions, which function a global platform for the alternate of rules and dialogue of state of the art learn within the box of social simulations, either from the theoretical in addition to utilized point of view. This ebook includes 33 articles, that are divided into 4 subject matters: tools for the advance of simulation types, purposes of agent-based modeling, Adaptive habit, social interactions and worldwide environmental swap and utilizing qualitative facts to notify behavioral principles. we're confident that this publication will serve readers as an invaluable compendium which provides in a nutshell the latest advances on the frontiers of social simulation research.

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Extra info for Advances in Social Simulation: Proceedings of the 9th Conference of the European Social Simulation Association

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It is not limited to monetary profit (see Table 1). The parameters of the utility function differ between farm types (cf. [10]). Table 1. Calculation of utility U(pi) of a land-use pattern pi (adapted from [10]) U(pi) = G(g(pi))*R(r(pi))*W(w(pi))*L(l(pi)) G: function of the influence of gross margin g(pi), R: function of the influence of risk r(pi) W: function of the influence of labour (work) load w(pi, ), L: function of the influence of staying legal l(pi)) G (g)= gγ 0<γ<=1. γ is a parameter representing decreasing marginal utility of gross margin (for γ<1).

Nebel The selection among the remaining land-use patterns differs between the models as described in the next sections. 3 The Utility Based Model (Holtz and Pahl-Wostl 2012) This model version selects among different land-use patterns through the calculation of a utility for each land-use pattern and selection of the one that maximizes utility. e. it is not limited to monetary profit (see Table 1). The parameters of the utility function differ between farm types (cf. [10]). Table 1. Calculation of utility U(pi) of a land-use pattern pi (adapted from [10]) U(pi) = G(g(pi))*R(r(pi))*W(w(pi))*L(l(pi)) G: function of the influence of gross margin g(pi), R: function of the influence of risk r(pi) W: function of the influence of labour (work) load w(pi, ), L: function of the influence of staying legal l(pi)) G (g)= gγ 0<γ<=1.

That is, those patterns that are "close" enough to f's current land-use in both regards are likely kept for further consideration while more distant pi are likely discarded. 4. Consequences arising from regulations (subsidies, penalties, legality) are evaluated for each of the remaining patterns. 2 In the implementations used in this article for each farmer 1000 "considered patterns" are developed in each time-step. 42 G. Holtz and M. Nebel The selection among the remaining land-use patterns differs between the models as described in the next sections.

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Advances in Social Simulation: Proceedings of the 9th Conference of the European Social Simulation Association by Syed Muhammad Ali Abbas, Shah Jamal Alam, Bruce Edmonds (auth.), Bogumił Kamiński, Grzegorz Koloch (eds.)


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