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Transactions on Computational Collective Intelligence XXXVI

  • Book
  • © 2021

Overview

Editors:
  1. Ngoc Thanh Nguyen

    1. Wroclaw University of Technology, Wroclaw, Poland

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  2. Ryszard Kowalczyk

    1. Swinburne University of Technology, Hawthorn, Australia

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  3. Anna Motylska-Kuźma

    1. WSB University Wroclaw, Wroclaw, Poland

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  4. Jacek Mercik

    1. WSB University Wroclaw, Wroclaw, Poland

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  • This book is open access, which means that you have free and unlimited access.

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13010)

Part of the book sub series: Transactions on Computational Collective Intelligence (TCCI)

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-x
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  2. A Theoretical Examination of the Ranked Choice Voting Procedure

    • Hannu Nurmi, Rachel Perez Palha
    Pages 1-16

  3. A Game Theoretic Model of Searching for a Unique Good from a Large Set of Offers

    • David M. Ramsey
    Pages 17-43

  4. Operation Comfort of Multistate System vs. The Importance of Its Components

    • Krzysztof J. Szajowski, Małgorzata Średnicka
    Pages 44-72

  5. Implicit Power Indices for Measuring Indirect Control in Corporate Structures

    • Jochen Staudacher, Linus Olsson, Izabella Stach
    Pages 73-93

  6. 1% Tax in Public Benefit Organizations: Determinants of Its Share in Organizations’ Total Revenues – Analysis of 3rd Sector in Poland

    • Hanna Pyrkosz, Anna Motylska-Kuzma
    Pages 94-107

  7. Reformulation of Some Indices Using Null Player Free Winning Coalitions

    • Izabella Stach, Cesarino Bertini
    Pages 108-115

  8. Analysis and Modeling of Activity-Selection Behavior in Collaborative Knowledge-Building

    • Anamika Chhabra, S. R. S. Iyengar, Jaspal Singh Saini, Vaibhav Malik
    Pages 116-160

  9. Back Matter

    Pages 161-161
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Keywords

About this book

These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as performance optimization in IoT, big data, reliability, privacy, security, service selection, QoS and machine learning. This 36th issue contains 7 selected papers which present new findings and innovative methodologies as well as discuss issues and challenges in the field of collective intelligence from big data and networking paradigms while addressing security, privacy, reliability and optimality to achieve QoS to the benefit of final users

This is an open access book.

Editors and Affiliations

  • Wroclaw University of Technology, Wroclaw, Poland

    Ngoc Thanh Nguyen

  • Swinburne University of Technology, Hawthorn, Australia

    Ryszard Kowalczyk

  • WSB University Wroclaw, Wroclaw, Poland

    Anna Motylska-Kuźma

  • WSB University Wroclaw, Wroclaw, Poland

    Jacek Mercik

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