Computational Intelligence (CI) is a multidisciplinary field at the intersection of computer science, artificial intelligence, and mathematical optimization. It involves the development of algorithms and computational models inspired by nature and human intelligence to solve complex problems. Environmental engineering is the application of computational methods to solve complex environmental problems. This book encompasses a broad array of topics, including machine learning in social networks, fuzzy logic in uncertainty modeling, reinforcement learning in autonomous systems, natural language processing in textual and spoken communication networks, and quantum computing in quantum-based network paradigms. Furthermore, the book addresses ethical considerations, bias detection, and fairness in computational intelligence, underscoring the significance of responsible AI deployment in networked environments.
We are therefore working on an edited monograph, "Connective Cognition: Computational Intelligence in Network Paradigms"for publication by CRC Press (Taylor & Francis Group). The monograph aims at presenting an overview of Computational Intelligence in Network Paradigms.
You are requested to submit
an abstract of the chapter around 250-300 words to connectivecog...@gmail.com and
copy to aggarwa...@gmail.com on
or before 20th February 2023 in the given format only
(template attached). A full book chapter is expected to be sent after your
abstract will be formally accepted. If you have any questions or concerns,
please do not hesitate to contact us.
*All the rights of this project are reserved to CRC Press (Taylor
& Francis Group).
We thank you very much in advance, and we look forward to
hearing from you.
Thanks & Regards,
Kirti Aggarwal, Assistant Professor (Senior), Jaypee Institute of Information
Technology
Editor: Connective
Cognition: Computational Intelligence in Network Paradigms
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