Advances in the design of computer architectures and networks have led to new ways of representing, creating, manipulating and distributing knowledge. This paper takes a sociotechnical view of computing and considers the impact of computer architectures which are based on connectionist principles and the growth in computer networks on the representation of the learning process and strategies for dealing with complexity. It calls for a new economic view of knowledge and intellectual property rights more appropriate for the analysis of information flows in networks. Finally, the Information Space (I-Space) is presented as a framework for the analysis and evaluation of information flows.
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