1.

Record Nr.

UNINA9910484583903321

Titolo

Transactions on Computational Collective Intelligence XXII / / edited by Ngoc Thanh Nguyen, Ryszard Kowalczyk

Pubbl/distr/stampa

Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2016

ISBN

3-662-49619-4

Edizione

[1st ed. 2016.]

Descrizione fisica

1 online resource (IX, 219 p. 86 illus. in color.)

Collana

Transactions on Computational Collective Intelligence, , 2190-9288 ; ; 9655

Disciplina

006.3

Soggetti

Artificial intelligence

Computational intelligence

Computers

Computer simulation

Computer networks

Artificial Intelligence

Computational Intelligence

Information Systems and Communication Service

Computation by Abstract Devices

Simulation and Modeling

Computer Communication Networks

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

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.

Sommario/riassunto

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.