Bültmann & Gerriets
Transactions on Computational Collective Intelligence XXII
von Ryszard Kowalczyk, Ngoc Thanh Nguyen
Verlag: Springer Berlin Heidelberg
Reihe: Transactions on Computational Collective Intelligence Nr. 9655
Hardcover
ISBN: 978-3-662-49618-3
Auflage: 1st ed. 2016
Erschienen am 27.02.2016
Sprache: Englisch
Format: 235 mm [H] x 155 mm [B] x 13 mm [T]
Gewicht: 359 Gramm
Umfang: 232 Seiten

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Klappentext
Inhaltsverzeichnis

These transactions publish research in computer-based
methods of computational collective intelligence (CCI) and their applications
in a wide range of fields such as the semantic Web, social networks, and
multi-agent systems. TCCI strives to cover new methodological, theoretical and
practical aspects of CCI understood as the form of intelligence that emerges
from the collaboration and competition of many individuals (artificial and/or
natural). The application of multiple computational intelligence technologies,
such as fuzzy systems, evolutionary computation, neural systems, consensus
theory, etc., aims to support human and other collective intelligence and to
create new forms of CCI in natural and/or artificial systems.
This twenty-second issue contains 11 carefully
selected and revised contributions.



Pairwise Comparisons Rating Scale
Paradox.- On Achieving History-based Move Ordering in Adversarial Board Games
using Adaptive Data Structures.- Identification of possible attack attempts
against web applications utilizing collective assessment of suspicious
requests.- A Grey Approach to Online Social Networks Analysis.- ReporTizer: A
fully implemented software requirements prioritization tool.- A Consensus-based
Method for Solving Concept-level Conflict in Ontology Integration.- Enhancing
Collaborative Filtering using Implicit Relations in Data.- Semantic Web-based
Social Media Analysis.- Web Projects Evaluation Using the Method of Significant
Website Assessment Criteria Detection.- Dynamic Database by Inconsistency and
Morphogenetic Computing.- A Method for Size and Shape Estimation in Visual
Inspection for Grain Quality Control in the Rice Identification Collaborative
Environment Multi-agent System.


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