Proceedings Of The 7th Python In Science Conference
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New Challenges in Computational Collective Intelligence
Author: Radoslaw Katarzyniak
language: en
Publisher: Springer Science & Business Media
Release Date: 2009-08-27
Collective intelligence has become one of major research issues studied by today’s and future computer science. Computational collective intelligence is understood as this form of group intellectual activity that emerges from collaboration and compe- tion of many artificial individuals. Robotics, artificial intelligence, artificial cognition and group working try to create efficient models for collective intelligence in which it emerges from sets of actions carried out by more or less intelligent individuals. The major methodological, theoretical and practical aspects underlying computational collective intelligence are group decision making, collective action coordination, collective competition and knowledge description, transfer and integration. Obviously, the application of multiple computational technologies such as fuzzy systems, evo- tionary computation, neural systems, consensus theory, knowledge representation etc. is necessary to create new forms of computational collective intelligence and support existing ones. Three subfields of application of computational technologies to support forms of collective intelligence are of special attention to us. The first one is semantic web treated as an advanced tool that increases the collective intelligence in networking environments. The second one covers social networks modeling and analysis, where social networks are this area of in which various forms of computational collective intelligence emerges in a natural way. The third subfield relates us to agent and mul- agent systems understood as this computational and modeling paradigm which is especially tailored to capture the nature of computational collective intelligence in populations of autonomous individuals.
Proceedings of the NIELIT's International Conference on Communication, Electronics and Digital Technology
Author: Palaiahnakote Shivakumara
language: en
Publisher: Springer Nature
Release Date: 2024-07-22
The book presents selected papers from NIELIT's International Conference on Communication, Electronics and Digital Technology (NICEDT-2024) held during 16–17 February 2024 in Guwahati, India. The book is organized in two volumes and covers state-of-the-art research insights on artificial intelligence, machine learning, big data, data analytics, cybersecurity and forensic, network and mobile security, advance computing, cloud computing, quantum computing, VLSI and semiconductors, electronics system, Internet of Things, robotics and automations, blockchain and software technology, digital technologies for future, and assistive technology for Divyangjan (people with disabilities).
The Oxford Handbook of Media Psychology
Author: Karen Dill-Shackleford
language: en
Publisher: Oxford University Press
Release Date: 2025
"The second edition of the Oxford Handbook of Media Psychology explores facets of human behavior, thoughts, and feelings experienced in the context of media use and creation. The volume spans foundational theories and methodological approaches, presenting cutting-edge research and offering an exploration of how technology impinges upon human psychology. Key ideas include social media, identity and self-concept, parasocial relationships, fandom, gaming and interactive media, social representation, mental health and media, and AI. The authors are widely regarded as top experts in the field"--