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Agents and Multi-agent Systems: Technologies and Applications 2023 [[electronic resource] ] : Proceedings of 17th KES International Conference, KES-AMSTA 2023, June 2023 / / edited by Gordan Jezic, J. Chen-Burger, M. Kusek, R. Sperka, R. J. Howlett, Lakhmi C. Jain



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Autore: Jezic Gordan Visualizza persona
Titolo: Agents and Multi-agent Systems: Technologies and Applications 2023 [[electronic resource] ] : Proceedings of 17th KES International Conference, KES-AMSTA 2023, June 2023 / / edited by Gordan Jezic, J. Chen-Burger, M. Kusek, R. Sperka, R. J. Howlett, Lakhmi C. Jain Visualizza cluster
Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Edizione: 1st ed. 2023.
Descrizione fisica: 1 online resource (421 pages)
Disciplina: 006.3
Soggetto topico: Computational intelligence
Expert systems (Computer science)
Data mining
Artificial intelligence
Computational Intelligence
Knowledge Based Systems
Data Mining and Knowledge Discovery
Artificial Intelligence
Soggetto non controllato: Mathematics
Altri autori: Chen-BurgerJ  
KusekM  
SperkaR  
HowlettR. J  
JainLakhmi C  
Nota di contenuto: Intro -- KES-AMSTA-2023 Conference Organization -- Preface -- Contents -- About the Editors -- Multi-agent Systems -- Agent-Based Medical Image Processing Using Multi-stage Distributed Neural Network -- 1 Introduction -- 2 Application in Magnetic Resonance Imaging Workflow -- 3 Multi-agent Systems in Medical Imaging -- 4 Model -- 5 Market-Based Environment for Multi-agent Systems -- 5.1 Scenario-Based Negotiation -- 5.2 Award Function -- 6 Conclusion and Future Work -- References -- RoboTwin: Combining Digital Twin and Artificial Intelligence Domains for Controlling Robots in Industry 4.0 -- 1 Introduction -- 2 Background -- 2.1 Digital Twin (DT) -- 2.2 Machine Learning Approaches for Behavior Learning -- 2.3 MultiAgent System (MAS) -- 3 Hypothesis -- 4 Our Proposal -- 4.1 Observation -- 4.2 Learning -- 4.3 Integration -- 5 Experiments -- 6 Conclusions and Future Work -- References -- A Method of Positioning a Humanoid Robot Relative to the Center of a Group of People-Analysis and Implementation -- 1 Introduction -- 1.1 Contribution -- 1.2 Organization of the Paper -- 2 Problem Definition -- 2.1 Robot Positioning Relative to a Single Person -- 2.2 Robot Positioning Relative to Two Persons -- 2.3 Positioning Next to Three or More Persons -- 3 Laboratory Experiments -- 4 Conclusion -- References -- How Can Adults Make Time to Study: A System for Employee Sharing and Reskilling Education -- 1 Introduction -- 2 Token/Employee Exchange System to Allow Study Time -- 2.1 System Overview -- 2.2 Intercompany Employee Exchange Using Virtual Tokens -- 2.3 Workers Who Attend School -- 2.4 Salary Paid by the Company -- 3 Simulation Configurations -- 3.1 Motivation Value -- 3.2 Simulation Period -- 3.3 Amount of Work and Peak/Off-Peak Season -- 3.4 Token/Employee Exchange and Paid Leave Rate -- 4 Matching.
4.1 Scoring of Workloads and Calculation of Required Number of Employees -- 4.2 Calculation of the Number of Employees Available to Borrow -- 4.3 Matching Between Borrowing and Lending Companies -- 5 Definition of Completion of Education -- 6 Results and Discussion -- 6.1 Effectiveness of Completing Education -- 6.2 Effectiveness of Business Execution -- 6.3 Which is Less Expensive, Token/Employee Exchange or New Hire? -- 6.4 Compensation to Companies that Had Many Opportunities to Lend Employees -- 6.5 Government Subsidies for Companies that Loaned Employees at the End of the Fiscal Year -- 7 Conclusion -- References -- Data Discretization for Data Stream Mining -- 1 Introduction: Motivations and Challenges -- 2 Related Works -- 3 Hybrid Online Discretization -- 4 Experimental Set up -- 5 Analysis and Empirical Results -- 6 Conclusion -- References -- Linear Machine Learning Algorithm for Early Annual Corn Yield Prediction -- 1 Introduction -- 2 Related Work -- 3 Obtained Data and Model -- 4 Linear Machine Learning Algorithm -- 5 Result -- 6 Conclusion and Future Work -- References -- Agent-Based Modelling and Transportation -- Multi-agent Modal Logic Evaluating Implicit Information -- 1 Introduction -- 2 Denotation, Definitions, Preliminary Facts -- 3 Formulation of Main Results, Satisfiability Problem -- 4 Conclusion -- References -- Multisectoral Household Location Agent-Based Simulation for Testing Policy Decisions -- 1 Introduction -- 2 State of Art -- 3 Integrating Housing and Premises as an Agent in a Land-Use Model -- 4 Integrating Low Emission Zone in the Transport Model -- 5 Study Case -- 6 Conclusion -- References -- DaFne: Data Fusion Generator and Synthetic Data Generation for Cities -- 1 Introduction -- 2 Methodology -- 3 DaFne Proceedings and Explorations -- 3.1 Characterization as Artificial Intelligence as a Service.
4 User Research -- 5 Use Case Design -- 6 Experiment: Pedestrian Path Generation -- 7 Conclusion -- 8 Future Work -- References -- Application of TDABC Systems and Their Support with ABMS Approach -- 1 Introduction -- 2 Time-Driven Activity-Based Costing -- 3 Business Process Simulation and ABMS Approach -- 3.1 Agent-Based Modelling and Simulation -- 4 Methodology -- 5 Results -- 6 Conclusion -- References -- Assessing the Impact of Shared-Taxi Pricing on Congestion Using Agent-Based Modeling -- 1 Introduction -- 2 Multi-agent System for the Shared Taxi Service -- 3 Taxi Pricing Scheme -- 4 Dispatching Algorithm -- 5 Experiments -- 5.1 Results -- 6 Conclusion -- References -- Distributed, Classical and Flexible Job Shop Scheduling Problem with Transportation Times: A State-of-the-Art -- 1 Introduction -- 2 State-of-the-Art Review -- 2.1 Exact Methods -- 2.2 Approximate Methods -- 2.3 Distributed Methods -- 3 Analysis and Discussion -- 4 Conclusion and Perspectives -- References -- Business Economics -- Proposal of Bicycle Sharing Operation System by Multi-agent Reinforcement Learning Using Transfer Learning -- 1 Introduction -- 2 Related Work -- 2.1 User-Based Approach of Bicycle Sharing -- 2.2 Transfer Reinforcement Learning -- 3 Proposed Method -- 3.1 Simulation Environment -- 3.2 Cooperative Reinforcement Learning -- 3.3 Selection of a Transfer Site -- 4 Experiments -- 4.1 Experiment 1_Transfer Learning with Homogeneous Labels -- 4.2 Experiment 2_Transfer Learning with Heterogeneous Labels -- 4.3 Experiment 3_Transfer Learning Between Homogeneous and Heterogeneous Labels -- 4.4 Experiment 4_Cooperative Transfer Reinforcement Learning -- 4.5 Discussion -- 5 Conclusion -- References -- Change in Centrality and Team Performance: Inverse Relation Between Manager and Non-manager Communication -- 1 Introduction -- 2 Previous Research.
2.1 Social Network Analysis -- 2.2 Performance and Centrality in Companies -- 3 Methodology -- 3.1 Data Outline -- 3.2 Variables -- 4 Results -- 4.1 Centrality and Performance -- 4.2 Communication Between Managers and Non-managers -- 5 Discussion -- 6 Conclusion -- References -- Digital Transformation and Cyber Threats for Small and Medium Sized Enterprises -- 1 Introduction -- 2 Hypotheses Model -- 3 Research Design -- 4 Results -- 5 Conclusion -- References -- Impact of Telework on Employee Satisfaction During the COVID-19 Crisis -- 1 Introduction -- 2 Research Method and Data Collection -- 2.1 Research Design -- 2.2 Data Collection -- 2.3 Data Analysis -- 3 Empirical Findings -- 3.1 Team -- 3.2 Organizational Prerequisites and Circumstances -- 3.3 Technical Resources -- 3.4 Human Resources -- 3.5 Challenges in Home Office -- 3.6 Employee Satisfaction -- 4 Conclusion -- References -- Bitcoin Fraudulent Transaction Detection Vulnerability -- 1 Introduction -- 2 Related Work -- 3 Data -- 3.1 Number and Type of Transactions -- 3.2 Features -- 4 Analysis Method -- 4.1 Explore Changes in Illicit Transaction Patterns at Different Time Steps -- 4.2 Examine the Use of the Anomaly Detection Method to Detect Illicit Transactions -- 4.3 Visualization of the Graph Information -- 5 Result -- 5.1 Explore Changes in Illicit Transaction Patterns at Different Time Steps -- 5.2 Examine the Use of the Anomaly Detection Method to Detect Illicit Transactions -- 5.3 Visualization of the Graph Information -- 6 Conclusion and Discussion -- References -- The Relationship Between Technological Distance and Innovation Emergence in M& -- A Through Patent Data with Outlier Detection Methods -- 1 Introduction -- 2 Related Work -- 2.1 Research on M& -- A and Innovation -- 2.2 Research on Patented Technology -- 3 Hypothesis -- 4 Data -- 5 Analysis Method.
5.1 Calculate Patent Text Vectors -- 5.2 Calculate Patent Text Vectors -- 5.3 Calculate the Number of Outliers -- 6 Result -- 6.1 Comparison of the Number of Outliers for Each Technological Distance -- 6.2 Comparison of the Number of Outliers for Each Technological Distance When Classified by Company Size -- 7 Conclusion -- References -- Estimated Economic Ripple Effects of Closed-Type Tourism Promotion Measures -- 1 Introduction -- 2 Related Work -- 3 Objectives of Study -- 4 Methodology -- 4.1 Questionnaire Survey -- 4.2 Analysis Method -- 5 Results -- 6 Conclusions -- References -- Intelligent Agents in Health, Wellness and Human Development Environments Applied to Health and Medicine -- Analysis of Batch Size in the Assessment of Bone Metastasis from Bone Scans in Various Convolutional Neural Networks -- 1 Introduction -- 2 Literature Review -- 3 Materials and Methods -- 3.1 Dataset Description -- 3.2 Pre-processing Steps -- 3.3 Base Convolutional Neural Network Architecture -- 3.4 Exploratory Process for Batch Size in the CNN Model Configuration -- 3.5 Performance Evaluation -- 4 Results and Discussion -- 4.1 Performance Evaluation of the Base CNN Model as to Batch Size -- 4.2 Performance Evaluation of DenseNet121 as to Batch Size -- 4.3 Performance Evaluation of VGG16 as to Batch Size -- 4.4 Performance Evaluation of InceptionV3 as to Batch Size -- 4.5 Performance Evaluation of ResNet50 as to Batch Size -- 4.6 Assessment of Batch Size of the Base and Pre-trained CNN Models -- 4.7 Comparative Performance of the Best Base and Best Pre-trained Models -- 5 Conclusions and Recommendations -- References -- Exploratory Study of Eye-Tracking Path: A Case Study from Switzerland -- 1 Introduction -- 2 Theoretical Background for Eye-Tracking Path Data in Environmental Psychology and Neuroscience.
2.1 General Theory Related to Human Movements Tracking of Individuals.
Sommario/riassunto: This book highlights new trends and challenges in research on agents and the new digital and knowledge economy. It includes papers on business process management, agent-based modeling and simulation and anthropic-oriented computing that were originally presented at the 17th International KES Conference on Agents and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2023), held in Rome, Italy, in June 14–16, 2023. The respective papers cover topics such as software agents, multi-agent systems, agent modeling, mobile and cloud computing, big data analysis, business intelligence, artificial intelligence, social systems, computer embedded systems and nature-inspired manufacturing, all of which contribute to the modern digital economy.
Titolo autorizzato: Agents and Multi-agent Systems: Technologies and Applications 2023  Visualizza cluster
ISBN: 981-9930-68-5
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910728399103321
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Serie: Smart Innovation, Systems and Technologies, . 2190-3026 ; ; 354