By Virginia Dignum, Frank Dignum
This quantity analyses, from a computational perspective, how tradition might come up, improve and evolve via time. The 4 sections during this ebook research and examine the modelling of tradition, crew and corporation tradition, tradition simulation, and culture-sensitive expertise design.
Different learn disciplines have assorted views on tradition, making it tough to match and combine various innovations and versions of tradition. through taking a computational viewpoint this ebook however allows the mixing of strategies that play a task in tradition, even if they could originate from assorted disciplines.
Culture is generally considered as anything obscure and qualitative and hence tough to house in a computational and formal atmosphere. Taking a computational method of tradition therefore features a twofold chance: taking a too simplistic method of cultural impression on behaviour; or attempting to seize an excessive amount of, for that reason now not resulting in helpful computational instruments. in spite of the fact that, the methods and insights during this assortment exhibit how various views via prime researchers defined in 13 chapters nonetheless can shape a coherent photo. The booklet therefore illustrates the possibility of utilizing computing platforms to higher comprehend culture.
By describing equipment, theories and urban program effects concerning the integration of cultural facets into computers, this e-book offers concept to researchers of all disciplines alike and provides the beginning of an interdisciplinary discussion on culture.
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Extra info for Perspectives on Culture and Agent-based Simulations: Integrating Cultures
Burgers et al. (2010) have shown that, for the Trust And Tracing Game, sensitivity at the macro level and at the individual level can differ considerably. For instance, some parameter change may have little effect on the total number of transactions in the game, even if it greatly affects the performance of individual agents in different ways; other agents may step into the place of agents that do not perform well under the changed parameter settings. Sensitivity analysis at the individual level is complex.
References O. Barreteau, F. Bousquet, J. Attonaty. Role-playing games for opening the black box of multiagent systems: method and lessons of its application to Senegal River Valley irrigated systems. Journal of Artificial Societies and Social Simulation 4 (2), 5 (2001) O. Barreteau et al. Our companion modeling approach. Journal of Artificial Societies and Social Simulation 6 (1), 1 (2003) R. Boero, F. Squazzoni. Does Empirical Embeddedness Matter? Methodological Issues on Agent-Based Models for Analytical Social Science.
8 Sensitivity Analysis in Agent-Based Model Validation The role of sensitivity analysis in agent-based simulation is to evaluate the fit between the theory and its implementation in the agent-based model (Gilbert 2008). In many types of simulation, sensitivity analysis is seen as a technical activity, aiming to improve the correctness of model implementation and the accuracy of forecasts made with the model. In the case of agent-based models, the relation between model formulation and output is hard to predict and sensitivity analysis also includes the discovery of emerging properties at the macro level.