透视图(图形)
因果关系(物理学)
复杂系统
计算机科学
背景(考古学)
系统论
适应(眼睛)
复杂适应系统
集合(抽象数据类型)
认知科学
光学(聚焦)
认识论
管理科学
心理学
人工智能
古生物学
哲学
物理
量子力学
神经科学
光学
经济
生物
程序设计语言
作者
Diane Larsen Freeman,Lynne Cameron
标识
DOI:10.1111/j.1540-4781.2008.00714.x
摘要
Changes to research methodology motivated by the adoption of a complexity theory perspective on language development are considered. The dynamic, nonlinear, and open nature of complex systems, together with their tendency toward self‐organization and interaction across levels and timescales, requires changes in traditional views of the functions and roles of theory, hypothesis, data, and analysis. Traditional views of causality are shifted to focus on co‐adaptation and emergence. Context is not seen as a backdrop, but rather as a complex system itself, connected to other complex systems, and variability in system behavior takes on increased importance. A set of general methodological principles is offered, and an overview of specific methods is given, with particular attention to validity in simulation modeling.
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