Bio-inspired Decisional DNA in Machinas and other Man-made Systems: The Way Forward - Publication - Bridge of Knowledge

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Bio-inspired Decisional DNA in Machinas and other Man-made Systems: The Way Forward

Abstract

Artificial bio-inspired intelligent techniques and systems supporting smart, knowledge-based solutions of real world problems which are currently researched very extensively by research teams around the world, have enormous potential to enhance automation of decision making and problem solving for a number of diverse areas including design, manufacturing, Information Technology (IT), social communities of practice, and economics just to mention a few. In a broader sense the above defined research direction plays an important role in our effort to bridge the gap between our current society and the one embedded in semantic networks. The Semantic Web concept was first proposed by Sir Tim Berners-Lee offering a future vision of the WorldWideWeb (WWW) where both humans and machines (man-made systems) are able to communicate and exchange information and knowledge. One of the challenges of Semantic Web is smart storage of information and knowledge in artificial systems so it can be unified, enhanced, reused, shared, communicated and distributed. Our study represents an important component of addressing the above challenge and exciting, cutting-edge global research trend.

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Details

Category:
Monographic publication
Type:
rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
Title of issue:
W : Knowledge, innovation and quality as factors of the success in the new economy strony 79 - 87
Language:
English
Publication year:
2014
Bibliographic description:
Szczerbicki E., Sanin C., Toro C.: Bio-inspired Decisional DNA in Machinas and other Man-made Systems: The Way Forward// W : Knowledge, innovation and quality as factors of the success in the new economy/ ed. Adam Skrzypek Lublin: University of Marie Curie Sklodowska, Lublin, 2014, s.79-87
Verified by:
Gdańsk University of Technology

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