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Enlightened by the ripe patterns, this article puts forward a knowledge fusion approach, which fuses online human knowledge, prior knowledge, and computational knowledge by using evolutionary computation to fully explore the advantages of human and computers.
Editor's note: Below is a guest post from Nova Spivack, CEO of Radar Networks, about a new computational knowledge engine called Wolfram Alpha being developed by computer scientist Stephen Wolfram.
But he's also worked in computer science and mathematical physics and is the founder of the WolframAlpha "computational knowledge engine", which is one of the wonders of the online world.
The site's slogan says it's a "computational knowledge engine" and the search box has an equals sign at the end.
Indeed, he describes his invention not as a search engine but as a "computational knowledge engine".
Wolfram Alpha Not a search engine but a "computational knowledge engine", Wolfram Alpha can interpret queries and provide concrete factual answers rather than a list of search results.
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A new computational knowledge-based model for emulating human performance in decision making tasks is proposed.
Despite the increasing pervasiveness of mobile computational technologies, knowledge about psychiatric patients' preferences regarding the design and utility of mobile applications is very poor.
Currently, no open-source and free software solutions of this kind exist to store, manage and leverage analyzed data and provide an integrated platform for downstream computational analysis, knowledge acquisition and integration leading to new experimental hypothesis generation.
Therefore, although some computational zero-knowledge proofs are replaced with a weaker notion, the witness indistinguishable protocol, the proof of soundness can still go through.
The disease AOP approach would better exploit advanced experimental and computational platforms for knowledge discovery, since the emergence of AOP networks will identify knowledge gaps and steer investigations accordingly.
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