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lytic approaches infeasible and natural language approaches inadequate for relating intricate cause and effect. However, individual- and agent-based computational approaches hold out the possibility of new and deeper understanding of such systems. . Simulating Social Complexity examines all aspects友好关系 发表于 2025-3-22 01:36:01
Martin Kuijer,Wouter Werneradditional reading for courses on computational social scien.Social systems are among the most complex known. This poses particular problems for those who wish to understand them. The complexity often makes analytic approaches infeasible and natural language approaches inadequate for relating intricentail 发表于 2025-3-22 05:47:53
Veronika Bílkoválytic approaches infeasible and natural language approaches inadequate for relating intricate cause and effect. However, individual- and agent-based computational approaches hold out the possibility of new and deeper understanding of such systems. . Simulating Social Complexity examines all aspectsprosthesis 发表于 2025-3-22 11:12:14
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Sara Kendalladditional reading for courses on computational social scien.Social systems are among the most complex known. This poses particular problems for those who wish to understand them. The complexity often makes analytic approaches infeasible and natural language approaches inadequate for relating intric高深莫测 发表于 2025-3-22 20:15:24
Fleur Johnsl approach of specification, design and implementation. What often seems to happen in practice is that modellers start off in a phase of exploratory modelling, where they don’t have a precise conception of the model they want but a series of ideas and/or evidence they want to capture. They then may等待 发表于 2025-3-22 23:19:58
Lianne J.M. Boerown set of differing states and internal processes. The interactions between elements in the simulation represent interactions in the target systems. What makes this "social" is that it can represent an observed society..Social systems include all those systems where the components have individual a清唱剧 发表于 2025-3-23 03:08:01
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Alessandra Arcuri,Federica Violiedictions. However, the chapter’s main argument is that fit-to-data, the traditional yardstick for establishing confidence in models, is not quite the solid ground on which to build such belief some people think it is, especially for the kind of system agent-based modelling is usually applied to. Fu