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Transactions on Computational Collective Intelligence XX [electronic resource] / edited by Ngoc Thanh Nguyen, Ryszard Kowalczyk, Béatrice Duval, Jaap van den Herik, Stephane Loiseau, Joaquim Filipe.

Contributor(s): Nguyen, Ngoc Thanh [editor.] | Kowalczyk, Ryszard [editor.] | Duval, Béatrice [editor.] | van den Herik, Jaap [editor.] | Loiseau, Stephane [editor.] | Filipe, Joaquim [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Transactions on Computational Collective Intelligence: 9420Publisher: Cham : Springer International Publishing : Imprint: Springer, 2015Edition: 1st ed. 2015.Description: IX, 259 p. 99 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319275437.Subject(s): Artificial intelligence | Computational intelligence | Software engineering | Computer science | Computer simulation | Computer networks  | Artificial Intelligence | Computational Intelligence | Software Engineering | Theory of Computation | Computer Modelling | Computer Communication NetworksAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
Developing Embodied Agents for Education Applications with Accurate Synchronization of Gesture and Speech -- Abstraction of Heterogeneous Supplier Models in Hierarchical Resource Allocation -- Shape Recognition through Tactile Contour Tracing - a simulation study -- Real-time tear film classification through cost-based feature selection -- Scalarized and Pareto Knowledge Gradient for Multi-objective Multi-armed Bandits -- Extensibility Based Multiagent Planner with Plan Diversity Metrics -- Concurrent and Distributed Shortest-Path Searches in Multiagent-based Transport Systems -- SAJaS: Enabling JADE-based Simulations -- Strategic Negotiation and Trust in Diplomacy -The DipBlue Approach -- Overcoming Limited Onboard Sensing in Swarm -- A Question of Balance: The Benefits of Pattern-Recognition when Solving Problems in a Complex Domain.
In: Springer Nature eBookSummary: 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 twentieth issue contains 11 carefully selected and revised contributions.
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Developing Embodied Agents for Education Applications with Accurate Synchronization of Gesture and Speech -- Abstraction of Heterogeneous Supplier Models in Hierarchical Resource Allocation -- Shape Recognition through Tactile Contour Tracing - a simulation study -- Real-time tear film classification through cost-based feature selection -- Scalarized and Pareto Knowledge Gradient for Multi-objective Multi-armed Bandits -- Extensibility Based Multiagent Planner with Plan Diversity Metrics -- Concurrent and Distributed Shortest-Path Searches in Multiagent-based Transport Systems -- SAJaS: Enabling JADE-based Simulations -- Strategic Negotiation and Trust in Diplomacy -The DipBlue Approach -- Overcoming Limited Onboard Sensing in Swarm -- A Question of Balance: The Benefits of Pattern-Recognition when Solving Problems in a Complex Domain.

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 twentieth issue contains 11 carefully selected and revised contributions.

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