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Cognition and Digital Ecosystems

机译:认知与数字生态系统

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摘要

The paper aims to establish a framework for analysing the role of cognitive science in the development of digital ecosystems. It is well known that cognitive science has plenty borrowed from artificial intelligence, therefore building models based on the co-evolution of cognitive human and artificial agents, which could provide answers in a considerably shorter time than people usually need for fulfilling the same tasks. Organizations, as complex social and human systems, regardless of the information technologies they use, were and still are subjected to knowledge. This happens both at the level of members' individual behaviour, as well as at a large scale with regard to groups and organizations behaviour: relations between goals, means, results, and the relationship between the organization and its environment. The development of knowledge ecosystems is analyzed (regarded) as a modelling activity, which involves developing an informatic model. Developing knowledge ecosystems emphasizes the importance of cognitive processes in all their aspects, involving the simulation of new and flexible ways of cooperation and work in the network by the means of dynamic association and self-organizing developing structures through open source.
机译:本文旨在建立一个框架,用于分析认知科学在数字生态系统发展中的作用。众所周知,认知科学从人工智能中获得了很多借鉴,因此,基于认知人类和人工代理的共同进化建立模型,可以比人们通常完成相同任务所需的时间短得多。作为复杂的社会和人类系统的组织,无论使用何种信息技术,都曾经且仍在接受知识。这既发生在成员的个人行为层面,也发生在群体和组织行为方面的大规模事件:目标,手段,结果之间的关系以及组织与环境之间的关系。知识生态系统的发展作为建模活动进行分析(视为),其中涉及开发信息模型。发展知识生态系统强调认知过程各个方面的重要性,包括通过动态关联和通过开放源代码自组织发展结构来模拟网络中新的灵活合作和工作方式。

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