Cognition and Digital Ecosystems

Abstract

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.