Transactions on Computational Collective Intelligence XVI [electronic resource] / edited by Ryszard Kowalczyk, Ngoc Thanh Nguyen.Material type: TextLanguage: English Series: Lecture Notes in Computer Science: 8780Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014Description: IX, 191 p. 56 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783662448717Subject(s): Computer science | Software engineering | Information systems | Artificial intelligence | Computer simulation | Engineering | Computer Science | Artificial Intelligence (incl. Robotics) | Computational Intelligence | Software Engineering | Simulation and Modeling | Information Systems and Communication ServiceAdditional physical formats: Printed edition:: No titleDDC classification: 006.3 LOC classification: Q334-342TJ210.2-211.495Online resources: Click here to access online
Applying IPC-based Clustering and Link Analysis to Patent Analysis on Thin-Film Solar Cell -- Non-Intrusive Repair of Safety and Liveness Violations in Reactive Programs -- Designing adaptive systems using teleo-reactive agents -- Towards Formal Modelling and Verification of Pervasive Computing Systems -- Revisiting Agent-Based Models of Algorithmic Trading Strategies -- Self-explanation in Adaptive Systems based on Runtime Goal-based Models -- A Higher-Order Agent Model with Contextual Planning Management for Ambient Systems -- An Ontological Consensus Augmented Framework for Collaborative Business Process Formulation.
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.