Computational Collective Intelligence 10th International Conference, ICCCI 2018, Bristol, UK, September 5-7, 2018, Proceedings, Part II
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Format | eBook Conference Proceeding |
Language | English |
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Springer International Publishing AG
2018
Springer International Publishing |
Edition | 1 |
Series | Lecture Notes in Computer Science |
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ISBN | 3319984454 9783319984452 |
ISSN | 0302-9743 1611-3349 |
DOI | 10.1007/978-3-319-98446-9 |
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Author | Nguyen, Ngoc Thanh Khan, Zaheer Pimenidis, Elias Trawiński, Bogdan |
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DOI | 10.1007/978-3-319-98446-9 |
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Editor | Nguyen, Ngoc Thanh Khan, Zaheer Pimenidis, Elias Trawiński, Bogdan |
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RelatedPersons | Kleinberg, Jon M. Mattern, Friedemann Naor, Moni Mitchell, John C. Terzopoulos, Demetri Steffen, Bernhard Pandu Rangan, C. Kanade, Takeo Kittler, Josef Weikum, Gerhard Hutchison, David Tygar, Doug |
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SubjectTerms | Algorithm Analysis and Problem Complexity Artificial Intelligence Artificial intelligence-Congresses Computer Appl. in Administrative Data Processing Computer Science Computer software-Congresses Special Purpose and Application-Based Systems |
Subtitle | 10th International Conference, ICCCI 2018, Bristol, UK, September 5-7, 2018, Proceedings, Part II |
TableOfContents | 3.4 Graphical Representation of Rules Clusters 3.3 Real-World Applications for Group Affect in Complex Decision-Making -- 4 Conclusion -- Acknowledgements -- References -- Parallel GEP Ensemble for Classifying Big Datasets -- 1 Introduction -- 2 GEP Ensemble Based on Stack Generalization Concept -- 2.1 Binary Classification -- 2.2 Multi-class Classification -- 3 Implementation -- 4 Experiment -- 5 Conclusions -- References -- A-Team Solving Distributed Resource-Constrained Multi-project Scheduling Problem -- 1 Introduction -- 2 Problem Formulation -- 3 A-Team Based MAS for Solving the DRCMPSP -- 3.1 JABAT Environment -- 3.2 JABAT for Solving the DRCMPSP -- 4 Computational Experiment -- 4.1 Problem Instances -- 4.2 Settings -- 4.3 Results -- 5 Conclusions and Future Work -- References -- Complex Decision Systems -- Solving the Uncapacitated Traveling Purchaser Problem with the MAX-MIN Ant System -- 1 Introduction -- 2 Related Work -- 3 ACO for the U-TPP -- 3.1 Dynamic Multi-dimensional Anamorphic Traveling Ants -- 3.2 Local Search -- 3.3 Proposed Algorithm -- 4 Experiments -- 5 Summary -- References -- Experimental Implementation of Web-Based Knowledge Base Verification Module -- 1 Introduction -- 2 Background Information -- 2.1 Anomalies in the Rule Knowledge Bases -- 2.2 Anomalies Detecting Methods and Related Works -- 3 Tools, Methods and Experiments -- 3.1 The KBExplorer System -- 3.2 Methods -- 3.3 Experiments -- 4 Conclusions -- References -- Methods of Rule Clusters' Representation in Domain Knowledge Bases -- 1 Introduction -- 2 Hierarchical Structure of a Knowledge Base -- 2.1 Agglomerative Hierarchical Clustering Algorithm -- 2.2 Clustering Parameters -- 3 Representation of Clusters by Using Their Representatives -- 3.1 Cluster Representatives Methods in the Literature -- 3.2 Proposed Approach -- 3.3 Numerical Characteristics of Rules Clusters Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Decision Support and Control Systems -- Design of Recursive Digital Filters with Penalized Spline Method -- Abstract -- 1 Introduction -- 2 Approaches to Problem Solution -- 3 Using a P-spline as a Digital Filter -- 4 Examining Frequency and Time Responses of a Recursive Spline Filter -- 5 Results of Computational Experiment -- 6 Conclusion -- Acknowledgment -- References -- An Adaptive Temporal-Causal Network Model for Decision Making Under Acute Stress -- Abstract -- 1 Introduction -- 2 Neurological Principles -- 3 The Adaptive Temporal-Causal Network Model -- 4 Example Simulation -- 5 Verification of the Network Model by Mathematical Analysis -- 6 Discussion -- References -- Chess Problem: CSA Algorithm Based on Simulated Annealing and Experimentation System -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Problem Statement -- 4 Algorithms -- 5 Experimentation System -- 6 Investigation -- 6.1 Experiment 1. Tuning of CSA Algorithm -- 6.2 Experiment 2. Comparing the Algorithms -- 7 Conclusion -- Acknowledgement -- References -- Single Machine Weighted Tardiness Problem: An Algorithm and Experimentation System -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Problem Statement -- 4 AIT Algorithm for Solving the Problem -- 5 Experimentation System -- 6 Investigation -- 6.1 Experiment Design -- 6.2 Influence of Inner Parameters -- 6.3 Comparison of Algorithms -- 7 Conclusion -- Acknowledgement -- References -- Large-Scale Evolutionary Optimization Using Multi-Layer Strategy Differential Evolution -- Abstract -- 1 Introduction -- 2 Classic Differential Evolution -- 3 Differential Evolution Strategies -- 4 Multi-Layer Strategies Differential Evolution -- 5 Experiments and Results -- 6 Conclusion -- Appendix: The Benchmark Functions Suite -- References Proposition of a BDI-Based Distributed Partitioning Approach for a Multirobot System -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Proposed Approach -- 3.1 The Know-How and the BDI Model -- 3.2 The Partitioning Algorithm -- 4 Simulation Results and Discussion -- 5 Conclusion and Future Work -- References -- Diversifying Search in Bee Algorithms for Numerical Optimisation -- 1 Introduction -- 2 Relevant Works -- 3 Honeybee-Inspired Algorithms -- 3.1 Bees Algorithm (BA) -- 3.2 ABC Algorithm -- 4 Algorithms Revised -- 4.1 Bees Algorithm Revised (rBA) -- 4.2 ABC Algorithm Revised (rABC) -- 4.3 Hybrid Bees Algorithm (Hybrid) -- 5 Experimental Results -- 6 Conclusions -- References -- Solving the Quadratic Assignment Problem (QAP) Through a Fine-Grained Parallel Genetic Algorithm Implemented on GPUs -- 1 Introduction -- 1.1 Background -- 1.2 Quadratic Assignment Problem (QAP) -- 1.3 Parallel Genetic Algorithms -- 1.4 Local Search Heuristics 2-opt -- 1.5 Graphics Processing Units (GPUs) -- 2 Proposed Approach -- 3 Experiments -- 3.1 Experimental Setup -- 3.2 Results -- 4 Conclusions and Future Works -- References -- A New Distance Function for Consensus Determination in Decision Support Systems -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Basic Notions -- 4 Distance Function -- 5 Research Experiment -- 6 Conclusions -- References -- Cooperative Strategies for Decision Making and Optimization -- Hitchcock Birds Inspired Algorithm -- Abstract -- 1 Introduction -- 2 Alfred Hitchcock and the Birds -- 3 Hitchcock Birds Inspired Algorithm -- 3.1 Lurking -- 3.2 Attack -- 3.3 Stagnation and Reorganization -- 3.4 Algorithm -- 4 Results -- 5 Conclusions -- References -- Solving DVRPTW by a Multi-agent System with Vertical and Horizontal Cooperation -- 1 Introduction -- 2 Problem Formulation -- 3 Agent-Based Approach to DVRPTW OPC UA Communication Traffic Control for Analogue Values in an Automation Device with Embedded OPC UA Servers -- Abstract -- 1 Introduction -- 2 OPC UA Standard -- 3 Test Environment -- 4 Test Results -- 4.1 Test Block One -- 4.2 Test Block Two -- 5 Discussion -- 6 Conclusion -- Acknowledgements -- References -- Application of Decision Trees for Quality Management Support -- Abstract -- 1 Introduction -- 2 Information Flow in ISA95-Based Manufacturing Execution Systems -- 3 Description of the ISA 95-Based Workflow in the Production of Electronic Devices -- 4 Application of Decision Trees to Support Workflow Scheduling -- 5 Conclusions -- Acknowledgements -- References -- Heuristic Algorithm for a Personalised Student Timetable -- 1 Introduction -- 2 Literature Review -- 3 Problem Description -- 4 Proposed Solution -- 5 Heuristic Algorithm -- 6 Results -- 7 Conclusion -- References -- A Flexible Evolutionary Algorithm for Task Allocation in Multi-robot Team -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 Problem Description and Mathematical Formulation -- 4 Proposed Evolutionary Algorithm -- 4.1 Chromosome Representation -- 4.2 Variation Operators -- 4.3 Fitness Function -- 4.4 Penalty Function -- 5 Experiments and Validation Scheme -- 5.1 Experimental Setup -- 5.2 Validations -- 6 Results -- 7 Conclusion and Future Work -- References -- Predictive Memetic Algorithm (PMA) for Combinatorial Optimization in Dynamic Environments -- 1 Introduction -- 2 Problem Definition -- 3 Related Work -- 4 Dynamic Landscapes -- 5 Proposed Predictive MA -- 6 Experimental Results -- 7 Conclusion and Future Work -- References -- Modeling Competitive Game Players with a Positioning Strategy in the Great Turtle Race -- 1 Introduction -- 2 Rules and Strategies -- 3 Experimental Evaluation of Five Strategies -- 4 Conclusions and Future Work -- References 3.1 Agents and Communication Between Them -- 3.2 Simulation and Problem Solving -- 4 Computational Experiment -- 5 Conclusions -- References -- Cluster-Based Instance Selection for the Imbalanced Data Classification -- Abstract -- 1 Introduction -- 2 Problem Formulation -- 3 An Approach to the Cluster-Based Instance Selection for the Imbalanced Data -- 3.1 Instance Selection and Data Clustering -- 3.2 The Agent-Based Framework for Instance Selection -- 4 Computational Experiment -- 5 Conclusions -- References -- Building Collaboration in Multi-agent Systems Using Reinforcement Learning -- 1 Introduction -- 2 Background -- 3 Collaborating Agents with Q Learning -- 3.1 Particle Swarm Optimisation (PSO) -- 3.2 Q Learning -- 3.3 Swarms of Learning Agents -- 4 Scanning Disastrous Area with Swarm of Learning Agents -- 5 Experimental Results -- 5.1 Approximation and Evaluation -- 5.2 Individuals' Learning Behaviour -- 6 Conclusions -- References -- The Shapley Value for Multigraphs -- Abstract -- 1 Introduction -- 2 Shapley Value in Co-operative Games -- 3 Co-operative Approach to Multigraph -- 4 Shapley Value for Multigraph -- 5 Example -- 6 Conclusions and Future Considerations -- References -- Group Affect in Complex Decision-Making: Theory and Formalisms from Psychology and Computer Science -- Abstract -- 1 Introduction -- 2 The Role of Affect in Decision-Making -- 2.1 Affective Impact on Individual Behavior Level -- 2.2 Affective Impact on Collective Behavior Level -- 3 Computational Models Integrating Group Affect in the Decision-Making Process -- 3.1 Main Theories and Formalisms from Psychology and Computer Science -- 3.2 Comparison of Different Computational Models of Group Affect and Decision-Making -- 3.2.1 Computational Model from Mass Psychology: Psychological Model -- 3.2.2 Computational Models from Social Neuroscience: IMPACT and ASCRIBE |
Title | Computational Collective Intelligence |
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