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  • 1
    UID:
    almahu_9949500605502882
    Format: XVI, 424 p. 101 illus., 84 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789819930685
    Series Statement: Smart Innovation, Systems and Technologies, 354
    Content: 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.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789819930678
    Additional Edition: Printed edition: ISBN 9789819930692
    Additional Edition: Printed edition: ISBN 9789819930708
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    b3kat_BV046747189
    Format: 1 Online-Ressource (xvi, 368 Seiten) , Illustrationen, Diagramme
    ISBN: 9789811557644
    Series Statement: Smart innovation, systems and technologies 186
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-15-5763-7
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-15-5765-1
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-15-5766-8
    Language: English
    Keywords: Konferenzschrift
    URL: Volltext  (URL des Erstveröffentlichers)
    Author information: Jain, L. C. 1946-
    Author information: Ježić, Gordan 1971-
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    UID:
    b3kat_BV047389828
    Format: 1 Online-Ressource (XVIII, 523 p. 177 illus., 122 illus. in color)
    Edition: 1st ed. 2021
    ISBN: 9789811629945
    Series Statement: Smart Innovation, Systems and Technologies 241
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-1629-93-8
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-1629-95-2
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-1629-96-9
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 4
    UID:
    almahu_9948352058102882
    Format: XVI, 368 p. 140 illus., 93 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9789811557644
    Series Statement: Smart Innovation, Systems and Technologies, 186
    Content: The 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 14th International KES Conference on Agents and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2020), being held as a Virtual Conference in June 17-19, 2020. 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. .
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9789811557637
    Additional Edition: Printed edition: ISBN 9789811557651
    Additional Edition: Printed edition: ISBN 9789811557668
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    UID:
    almahu_9949083914902882
    Format: XVIII, 523 p. 177 illus., 122 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9789811629945
    Series Statement: Smart Innovation, Systems and Technologies, 241
    Content: 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 15th International KES Conference on Agents and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2021), being held as a Virtual Conference in June 14-16, 2021. 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.
    Note: An Agent-oriented, Blockchain-based Design of the Interbank Money Market Trading System -- A Conceptual Model for Human-Agent Teams -- Learned Dynamics Models and Online Planning for Model-based Animation Agents -- Swarm Intelligence Optimisation Algorithms and their Applications in a Complex Layer-Egg Supply Chain -- Collaborative Framework for Implementation of Accessible Digital Solutions -- Task Selection based on Worker Performance Prediction in Gamified Crowdsourcing -- Detection of Asynchronous Concatenation Emergent Behaviour in Multi-Agent Systems -- A Mobile Agent Based-Framework to Monitor and Manage Interoperability of C-ITS Services in Vehicles -- Revising Ethical Principles and Norms in Hybrid Societies: Basic Principles and Issues -- Asymmetry of Ties in Organizational Performance.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789811629938
    Additional Edition: Printed edition: ISBN 9789811629952
    Additional Edition: Printed edition: ISBN 9789811629969
    Language: English
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  • 6
    UID:
    edoccha_9959767613402883
    Format: 1 online resource (365 pages) : , illustrations
    Edition: 1st ed. 2020.
    ISBN: 981-15-5764-0
    Series Statement: Smart Innovation, Systems and Technologies, 186
    Content: The 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 14th International KES Conference on Agents and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2020), being held as a Virtual Conference in June 17–19, 2020. 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. .
    Note: Includes index.
    Additional Edition: ISBN 981-15-5763-2
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 7
    UID:
    edoccha_9961128912602883
    Format: 1 online resource (421 pages)
    Edition: 1st ed. 2023.
    ISBN: 981-9930-68-5
    Series Statement: Smart Innovation, Systems and Technologies, 354
    Content: 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.
    Note: 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.
    Additional Edition: Print version: Jezic, Gordan Agents and Multi-Agent Systems: Technologies and Applications 2023 Singapore : Springer,c2023 ISBN 9789819930678
    Language: English
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