Abstract
The models of the evolution researchers are focused on the origin and the multiplication of organisms. This paper introduces a possible approach of the evolution of organisms being concerned in the appearance of the intelligence. This process is self developing and adaptive, producing the knowledge graph, which is the result of a lifelong data capturing and acquisition task of an artificial digital organism. This article tries to outline the appearance of the intelligence based on the principles of the creation process of a knowledge graph and its functions. The result is a non linear network of knowledge snippets, consisting of atoms, and their combinations, called contexts. Finally we introduce a startup information system, which is the realization of digital evolution machines and their ensemble in the artificial world. This special world is the world wide web.
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Elek, I. (2010). A Computerized Approach of the Knowledge Representation of Digital Evolution Machines in an Artificial World. In: Tan, Y., Shi, Y., Tan, K.C. (eds) Advances in Swarm Intelligence. ICSI 2010. Lecture Notes in Computer Science, vol 6145. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13495-1_65
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DOI: https://doi.org/10.1007/978-3-642-13495-1_65
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