Transactions on Computational Collective Intelligence XXII

Häftad, Engelska, 2016

Del i serien Lecture Notes in Computer Science

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Beskrivning

These transactions publish research in computer-basedmethods of computational collective intelligence (CCI) and their applicationsin a wide range of fields such as the semantic Web, social networks, andmulti-agent systems. TCCI strives to cover new methodological, theoretical andpractical aspects of CCI understood as the form of intelligence that emergesfrom the collaboration and competition of many individuals (artificial and/ornatural). The application of multiple computational intelligence technologies,such as fuzzy systems, evolutionary computation, neural systems, consensustheory, etc., aims to support human and other collective intelligence and tocreate new forms of CCI in natural and/or artificial systems.This twenty-second issue contains 11 carefullyselected and revised contributions.

Produktinformation

Utgivningsdatum:2016-02-27
Mått:155 x 235 x 13 mm
Vikt:359 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:219
Upplaga:16001
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783662496183

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Artificiell intelligens inom Data och IT
Hårdvara inom Data och IT

Innehållsförteckning

Pairwise Comparisons Rating ScaleParadox.- On Achieving History-based Move Ordering in Adversarial Board Gamesusing Adaptive Data Structures.- Identification of possible attack attemptsagainst web applications utilizing collective assessment of suspiciousrequests.- A Grey Approach to Online Social Networks Analysis.- ReporTizer: Afully implemented software requirements prioritization tool.- A Consensus-basedMethod for Solving Concept-level Conflict in Ontology Integration.- EnhancingCollaborative Filtering using Implicit Relations in Data.- Semantic Web-basedSocial Media Analysis.- Web Projects Evaluation Using the Method of SignificantWebsite Assessment Criteria Detection.- Dynamic Database by Inconsistency andMorphogenetic Computing.- A Method for Size and Shape Estimation in VisualInspection for Grain Quality Control in the Rice Identification CollaborativeEnvironment Multi-agent System.