Measuring Intelligence Quotients of Hyper-Intelligent Semantic Networks

Abstract

Berners-Lee's initial concept of the Internet was one of a complex, highly connected web of semantic knowledge built from a global collective intelligence. The Internet instead has evolved and cycled through different epochs of scale-free socio-technical-economic subnets of competing information streams, reminiscent, in part, of the growth spurts of print, television and telephony. The meaning of an intelligent semantic web transcends these stages of development – transparent and ubiquitous mobility and utility of processes leading to the construction of modular abstract web units of computational intelligence and resulting composites of computational organs and regimes. Nonetheless, in order to know what is more useful or powerful computationally begs for clarity of a spectrum and measurement of universal intelligence. This paper investigates conceptual types of abstract IQ measurement with respect to human-machine hybrid organizations. This manifestation is presented in the fold of ideas of hyper-intelligent networks that further climb the ladder of cognition in conscious-like, reflective, and thinking computational units possible in globally formed subnets of a semantic-evolving Internet. These intelligences liberate and extend the spans of the collective of human intelligence, transpersonal development possible with the integration of machines, humans, and hybrid computational species, utilizing emergent physical computational concepts, thus resulting in über-networks. The social implications for these potential super-intelligent subnets within the Internet are the vast acceleration of service lifecycles, organization transparency, and new co-opetive scenarios.

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Cite this paper

@inproceedings{Seplveda2013MeasuringIQ, title={Measuring Intelligence Quotients of Hyper-Intelligent Semantic Networks}, author={Alfredo Sep{\'u}lveda}, year={2013} }