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Agents and Artificial Intelligence [[electronic resource] ] : 15th International Conference, ICAART 2023, Lisbon, Portugal, February 22–24, 2023, Revised Selected Papers / / edited by Ana Paula Rocha, Luc Steels, Jaap van den Herik
Agents and Artificial Intelligence [[electronic resource] ] : 15th International Conference, ICAART 2023, Lisbon, Portugal, February 22–24, 2023, Revised Selected Papers / / edited by Ana Paula Rocha, Luc Steels, Jaap van den Herik
Autore Rocha Ana Paula
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (507 pages)
Disciplina 006.3
Altri autori (Persone) SteelsLuc
van den HerikJaap
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computer science
Computers
Computers, Special purpose
Computer networks
Image processing - Digital techniques
Computer vision
Artificial Intelligence
Theory of Computation
Computing Milieux
Special Purpose and Application-Based Systems
Computer Communication Networks
Computer Imaging, Vision, Pattern Recognition and Graphics
ISBN 3-031-55326-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Agents -- Bees, Bats and Glowworms: Swarm Algorithms for Optimizing Industrial Plants from the Bottom-Up -- Estimating the Spread of COVID-19 Due to Transportation Networks Using Agent-Based Modeling -- Dealing with the Unpredictability of Physical Resources in Real-World Multi-Agent Systems -- Coalition Alternating-Time Temporal Logic: A Logic to Find Good Coalitions to Achieve Strategic Objectives -- Holonic Energy Management Systems: Towards Flexible and Resilient Smart Grids -- Artificial Intelligence -- Predictive Explanations for and by Reinforcement Learning -- Effects of Feature Types on Donor Journey -- Data-Efficient Offline Reinforcement Learning with Approximate Symmetries -- Dynamic Communities: A Novel Recommendation Approach for Individuals and Groups -- Towards Improving Multivariate Time-Series Forecasting Using Weighted Linear Stacking -- Study on LSTM and ConvLSTM Memory-Based Deep Reinforcement Learning -- Spatial Representation and Reasoning About Fold Strata: A Qualitative Approach -- Ranking-Based Partner Selection Strategy in Open, Dynamic and Sociable Environments -- Weight Re-Mapping for Variational Quantum Algorithms -- Effective Adaptive Strategy Selection Using Extended Fine-Tuning and CNN-Based Surrogate Model in Repeated-Encounter Bilateral Automated Negotiation -- A Novel Bagged Ensemble Approach for Accurate Histopathological Breast Cancer Classification Using Transfer Learning and Convolutional Neural Networks -- UTP: A Unified Term Presentation Tool For Clinical Textual Data Using Pattern-Matching Rules and Dictionary-Based Ontologies -- Fault Tolerant Robust Adaptive Workload Orchestration in Pure Edge Computing -- Exploring Narrative Economics: An Agent-Based Co-Evolutionary Model Featuring Nonlinear Continuous-Time Opinion Dynamics -- GaSUME: A BERT-Covered Genetic Algorithm for Text Summarization -- Segmented Glioma Classification Using Radiomics-Based Machine Learning: A Comparative Analysis of Feature Selection Techniques -- RDC-Repair: Towards a Relevance-Driven Approach for Data and Constraints Repair -- Developing Image-Based Classification Techniques to Analyse Customer Behaviour.
Record Nr. UNINA-9910845099103321
Rocha Ana Paula  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Agents and Artificial Intelligence [[electronic resource] ] : 15th International Conference, ICAART 2023, Lisbon, Portugal, February 22–24, 2023, Revised Selected Papers / / edited by Ana Paula Rocha, Luc Steels, Jaap van den Herik
Agents and Artificial Intelligence [[electronic resource] ] : 15th International Conference, ICAART 2023, Lisbon, Portugal, February 22–24, 2023, Revised Selected Papers / / edited by Ana Paula Rocha, Luc Steels, Jaap van den Herik
Autore Rocha Ana Paula
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (507 pages)
Disciplina 006.3
Altri autori (Persone) SteelsLuc
van den HerikJaap
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computer science
Computers
Computers, Special purpose
Computer networks
Image processing - Digital techniques
Computer vision
Artificial Intelligence
Theory of Computation
Computing Milieux
Special Purpose and Application-Based Systems
Computer Communication Networks
Computer Imaging, Vision, Pattern Recognition and Graphics
ISBN 3-031-55326-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Agents -- Bees, Bats and Glowworms: Swarm Algorithms for Optimizing Industrial Plants from the Bottom-Up -- Estimating the Spread of COVID-19 Due to Transportation Networks Using Agent-Based Modeling -- Dealing with the Unpredictability of Physical Resources in Real-World Multi-Agent Systems -- Coalition Alternating-Time Temporal Logic: A Logic to Find Good Coalitions to Achieve Strategic Objectives -- Holonic Energy Management Systems: Towards Flexible and Resilient Smart Grids -- Artificial Intelligence -- Predictive Explanations for and by Reinforcement Learning -- Effects of Feature Types on Donor Journey -- Data-Efficient Offline Reinforcement Learning with Approximate Symmetries -- Dynamic Communities: A Novel Recommendation Approach for Individuals and Groups -- Towards Improving Multivariate Time-Series Forecasting Using Weighted Linear Stacking -- Study on LSTM and ConvLSTM Memory-Based Deep Reinforcement Learning -- Spatial Representation and Reasoning About Fold Strata: A Qualitative Approach -- Ranking-Based Partner Selection Strategy in Open, Dynamic and Sociable Environments -- Weight Re-Mapping for Variational Quantum Algorithms -- Effective Adaptive Strategy Selection Using Extended Fine-Tuning and CNN-Based Surrogate Model in Repeated-Encounter Bilateral Automated Negotiation -- A Novel Bagged Ensemble Approach for Accurate Histopathological Breast Cancer Classification Using Transfer Learning and Convolutional Neural Networks -- UTP: A Unified Term Presentation Tool For Clinical Textual Data Using Pattern-Matching Rules and Dictionary-Based Ontologies -- Fault Tolerant Robust Adaptive Workload Orchestration in Pure Edge Computing -- Exploring Narrative Economics: An Agent-Based Co-Evolutionary Model Featuring Nonlinear Continuous-Time Opinion Dynamics -- GaSUME: A BERT-Covered Genetic Algorithm for Text Summarization -- Segmented Glioma Classification Using Radiomics-Based Machine Learning: A Comparative Analysis of Feature Selection Techniques -- RDC-Repair: Towards a Relevance-Driven Approach for Data and Constraints Repair -- Developing Image-Based Classification Techniques to Analyse Customer Behaviour.
Record Nr. UNISA-996589546003316
Rocha Ana Paula  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Agents and artificial intelligence : 13th International Conference, ICAART 2021, virtual event, February 4-6, 2021, revised selected papers / / Ana Paula Rocha, Luc Steels, H. J. van den Herik (editors)
Agents and artificial intelligence : 13th International Conference, ICAART 2021, virtual event, February 4-6, 2021, revised selected papers / / Ana Paula Rocha, Luc Steels, H. J. van den Herik (editors)
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (353 pages)
Disciplina 006.3
Collana Lecture notes in computer science. Lecture notes in artificial intelligence
Soggetto topico Artificial intelligence
Intelligent agents (Computer software)
ISBN 3-031-10161-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Agents -- Specification Aware Multi-Agent Reinforcement Learning -- 1 Introduction -- 2 Foundations -- 2.1 Problem Formulation -- 2.2 Reinforcement Learning -- 2.3 Multi-Agent Reinforcement Learning -- 2.4 Reward Shaping in RL -- 3 Related Work -- 4 Smart Factory Domain -- 5 Specification Transfer -- 6 Evaluation -- 6.1 Experimental Setup -- 6.2 Analysis of Separate Reward Components -- 6.3 Scaling Challenges and Solutions -- 6.4 Safety Constraints as Reward Components -- 6.5 Case Study: Specification Compliant Run-Time Behavior -- 7 Discussion -- 8 Conclusion and Future Work -- References -- Task Bundle Delegation for Reducing the Flowtime -- 1 Introduction -- 2 Related Work -- 3 Multi-agent Situated Task Allocation -- 4 Consumption and Reallocation -- 5 Negotiation Strategy -- 5.1 Peer Modelling -- 5.2 Acceptability Rule -- 5.3 Offer Strategy -- 5.4 Acceptation Strategy -- 5.5 Agent Behaviour -- 6 Results and Discussion -- 6.1 Context of Experiments -- 6.2 Classical Heuristic and Acceptability Criterion -- 6.3 N-Ary Delegation -- 6.4 Distributed Constraint Optimization Problem (DCOP) -- 7 Conclusion -- References -- A Detailed Analysis of a Systematic Review About Requirements Engineering Processes for Multi-agent Systems -- 1 Introduction -- 2 Background -- 2.1 Requirements Engineering -- 2.2 Belief-Desire-Intention Model -- 3 Related Works -- 4 Research Method -- 4.1 The Research Questions -- 4.2 Identifying and Selecting Primary Studies -- 4.3 Inclusion and Exclusion Criteria -- 4.4 Studies Quality Assessment -- 4.5 Data Extraction Strategy -- 4.6 Conducting the Review -- 4.7 Data Extraction -- 5 Results -- 5.1 Methodologies Analysed in the Systematic Review -- 5.2 Coverage in Relation to the Requirements Engineering Subareas Defined in SWEBOK -- 5.3 Methodologies Supporting the BDI Model.
5.4 Gaps Found in This Review -- 6 Threats to Validity -- 7 Insights for Future Works -- 8 Conclusions and Future Works -- References -- Automatically-Generated Agent Organizations for Flexible Workflow Enactment -- 1 Introduction -- 2 A Running Example -- 3 From Business Process Models to Agent Organizations -- 3.1 Ontology and Goals from a Business Process -- 3.2 Mapping Goals to Agents via Organization -- 3.3 The BPMN2MOISE Tool -- 4 The Automatic Definition of Organizations -- 4.1 Heuristic for the Structural Specification: Roles and Groups -- 4.2 Heuristic for the Functional Specification: Goals and Plans -- 4.3 Heuristic for the Normative Specification -- 5 Conclusions -- References -- Negotiation Considering Privacy Loss on Asymmetric Multi-objective Decentralized Constraint Optimization Problem -- 1 Introduction -- 2 Background -- 2.1 Asymmetric Constraint Optimization Problem with Cost of Private Information to Be Published -- 2.2 Criteria and Measurement of Social Welfare -- 2.3 Decentralized Complete Solution Method for Asymmetric Multi-objective Constraint Optimization Problems Based on Pseudo-trees and Dynamic Programming -- 3 Decentralized Solution Framework for Selection of Utility Values to Be Published and Solution of Published Problems -- 3.1 Basic Design of Proposed Framework -- 3.2 Selection of Newly Published Utility Values -- 3.3 Evaluation Criteria for Utility Values to Be Published -- 3.4 Hierarchically Structured Cost Vector Integrating Criteria for Publication of Utility Values -- 3.5 Solving Problems with Published Utility Values -- 4 Additional Preprocessing Methods -- 4.1 Trading Utility Between Neighborhood Agents -- 4.2 Approximation of Binary Functions -- 5 Evaluation -- 5.1 Settings of Experiment -- 5.2 Experimental Results -- 6 Discussion -- 7 Conclusion -- References -- Artificial Intelligence.
Utilizing Out-Domain Datasets to Enhance Multi-task Citation Analysis -- 1 Introduction -- 2 Related Work -- 2.1 Sentiment Classification -- 2.2 Intent Classification -- 2.3 Out-Domain Data Utilization -- 3 Datasets -- 3.1 Sentiment Datasets -- 3.2 Intent Dataset -- 4 Contributions -- 4.1 ImpactCite -- 4.2 Overcoming Data Scarcity and Data Feeding Techniques -- 4.3 Fusion Approach -- 5 Experiments and Analysis -- 5.1 Intent Classification -- 5.2 Sentiment Classification -- 5.3 Out-Domain: Evaluating Impact of Additional Data -- 5.4 Multi-task Model: Fusing Scientific Sentiment and Intent -- 6 Discussion -- 7 Conclusion -- References -- Using Possibilistic Networks to Compute Learning Course Indicators -- 1 Introduction -- 2 Possibility Theory -- 3 Message Passing Inference -- 4 Compiling Possibilistic Networks -- 5 Experimentation -- 5.1 Presentation -- 5.2 Results -- 6 Conclusion -- References -- Assured Deep Multi-Agent Reinforcement Learning for Safe Robotic Systems -- 1 Introduction -- 2 Background -- 2.1 Markov Decision Process -- 2.2 Multi-Agent Markov Decision Process -- 2.3 Abstract Markov Decision Process -- 2.4 Single-Agent Reinforcement Learning -- 2.5 Multi-Agent Reinforcement Learning -- 2.6 Deep Reinforcement Learning -- 2.7 Quantitative Verification -- 3 Domain Example -- 4 Approach -- 5 Evaluation -- 5.1 Experimental Set-Up -- 5.2 Radiation Avoidance Patrolling Domain -- 5.3 Multi-Agent Guarded Flag Collection -- 6 Related Work -- 7 Conclusion -- References -- How to Segment Handwritten Historical Chronicles Using Fully Convolutional Networks? -- 1 Introduction -- 2 Related Work -- 2.1 Methods -- 2.2 Datasets -- 3 FCN Architecture -- 4 Experimental Setup -- 5 Experimental Results -- 5.1 Input Resolution -- 5.2 Loss Function Weighting -- 5.3 Training Data Extension -- 5.4 Combined Setup -- 5.5 Post-processing -- 5.6 Transfer Learning.
6 Porta Fontium Integration and Method Tuning -- 7 Conclusions and Future Work -- References -- On the Relationship with Toulmin Method to Logic-Based Argumentation -- 1 Introduction -- 2 Preliminaries -- 2.1 Toulmin Model of Argumentation -- 2.2 NDSA: Natural Deduction for Structured Argumentation -- 3 The Reception and Refinement of Toulmin's Model in Logic-Based Argumentation -- 3.1 Reasoning on NDSA and Admissible Sets -- 3.2 2-Tier AF: Two-Tier Argumentation Framework -- 4 Related Work -- 5 Conclusion and Future Direction -- References -- Informer: An Efficient Transformer Architecture Using Convolutional Layers -- 1 Introduction -- 2 Previous Work -- 3 Information Organization Layer -- 4 Experiments -- 4.1 Training Details -- 4.2 Results Analysis -- 5 Conclusions -- References -- Improving the Generalization of Deep Learning Classification Models in Medical Imaging Using Transfer Learning and Generative Adversarial Networks -- 1 Introduction -- 2 Related Work -- 2.1 Transfer Learning in Medical Imaging -- 2.2 Generative Adversarial Networks in Medical Imaging -- 3 Materials and Methods -- 3.1 Dataset Description and Pre-processing -- 3.2 Transfer Learning Models -- 3.3 Generative Adversarial Networks (GAN) -- 4 Results -- 4.1 Comparison of Results with Other Recent Similar Works -- 5 Discussion -- 6 Conclusions and Future Work -- References -- An Interpretable Word Sense Classifier for Human Explainable Chatbot -- 1 Introduction -- 2 Related Work -- 3 Proposed Tsetlin Machine Based Word Sense Disambiguation -- 3.1 Tsetlin Machine -- 3.2 Training of the Proposed WSD Model -- 4 Performance and Interpretation of WSD -- 4.1 Results -- 4.2 Explainable WSD -- 4.3 Application of Interpretation in Chatbot -- 5 Conclusion -- References -- A Tsetlin Machine Framework for Universal Outlier and Novelty Detection -- 1 Introduction -- 2 Related Work.
3 Tsetlin Machine Framework -- 3.1 TM Architecture for Generator -- 3.2 Classifier -- 4 Experiments and Results -- 4.1 Outlier Detection -- 4.2 Novelty Detection in Text -- 5 Conclusions -- References -- Adding Supply/Demand Imbalance-Sensitivity to Simple Automated Trader-Agents -- 1 Introduction -- 2 Prior Work -- 2.1 Automated Traders -- 2.2 Critique of Church & -- Cliff -- 2.3 Measuring Imbalance -- 3 Adding MLOFI-Impact to Robot Traders -- 3.1 Simple Robot Traders with Impact: AA, ZIP, and ISHV -- 3.2 MLOFI Opinionated PRZI Traders for Narrative Economics -- 4 Discussion and Conclusion -- References -- Advances in Measuring Inflation Within Virtual Economies Using Deep Reinforcement Learning -- 1 Introduction -- 1.1 Proposed System -- 2 Related Works -- 2.1 Parameter Tuning -- 2.2 Game Balance -- 2.3 Automated Game Testing -- 3 History of Economies in Games -- 3.1 Eve Online -- 4 Testing Economies -- 5 Parameter Tuning -- 6 Methods -- 6.1 Economy Design -- 6.2 Adventure Agents -- 6.3 Co-operative Behaviours -- 6.4 Crafting Agents -- 6.5 Training -- 6.6 Economy Sinks -- 6.7 Training -- 6.8 Parameter Tuning -- 6.9 Data Collection -- 7 Inflation Results -- 7.1 Results - Parameter Tuning -- 8 Discussion and Future Work -- References -- Practical City Scale Stochastic Path Planning with Pre-computation -- 1 Introduction -- 2 Previous Work -- 3 Framework -- 3.1 City and Edge Weights -- 3.2 Traffic Data -- 3.3 Open Street Map -- 3.4 Agents -- 3.5 City Graph Partitioning -- 3.6 Exemplar Assignment -- 3.7 Base Path Planning Framework -- 3.8 Pre-processing: Building Distance Oracles -- 3.9 Scalable Algorithm -- 4 Experiments and Results -- 4.1 How Many Partitions Are Needed to Represent the City Graph? -- 4.2 Which Partitioning Method We Picked? -- 4.3 Which Exemplar Assignment Approach Is the Best? -- 4.4 How Is the Quality of Approximate Paths?.
4.5 What Is the Time and Space Complexity of Scalable Algorithm?.
Record Nr. UNINA-9910585770703321
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Agents and Artificial Intelligence [[electronic resource] ] : 14th International Conference, ICAART 2022, Virtual Event, February 3–5, 2022, Revised Selected Papers / / edited by Ana Paula Rocha, Luc Steels, Jaap van den Herik
Agents and Artificial Intelligence [[electronic resource] ] : 14th International Conference, ICAART 2022, Virtual Event, February 3–5, 2022, Revised Selected Papers / / edited by Ana Paula Rocha, Luc Steels, Jaap van den Herik
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (236 pages)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Artificial Intelligence
ISBN 3-031-22953-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Agents -- Efficient Visual Sign Assignment for Crowd Evacuation Guidance Considering Risks and Multiple Objectives -- Negotiation Protocol with Learned Handover of Important Tasks for Planned Suspensions in Multi-Agent Patrol Problems -- Artificial Intelligence -- Comparing Beta-VAE to WGAN-GP for Time Series Augmentation to Improve Classification Performance -- Safe Policy Improvement Approaches and Their Limitations -- Integrative System of Deep Classifiers Certification: Case of Convolutional Attacks -- Co-operative Multi-agent Twin Delayed DDPG for Robust Phase Duration Optimization of Large Road Networks -- Generating the Gopher's Grounds: Form, Function, Order, and Alignment -- Domain Dependent Parameter Setting in SAT Solver using Machine Learning Techniques -- More Sustainable Text Classification via Uncertainty Sampling and a Human-in-the-Loop.
Record Nr. UNISA-996508671203316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Agents and Artificial Intelligence [[electronic resource] ] : 14th International Conference, ICAART 2022, Virtual Event, February 3–5, 2022, Revised Selected Papers / / edited by Ana Paula Rocha, Luc Steels, Jaap van den Herik
Agents and Artificial Intelligence [[electronic resource] ] : 14th International Conference, ICAART 2022, Virtual Event, February 3–5, 2022, Revised Selected Papers / / edited by Ana Paula Rocha, Luc Steels, Jaap van den Herik
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (236 pages)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Artificial Intelligence
ISBN 3-031-22953-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Agents -- Efficient Visual Sign Assignment for Crowd Evacuation Guidance Considering Risks and Multiple Objectives -- Negotiation Protocol with Learned Handover of Important Tasks for Planned Suspensions in Multi-Agent Patrol Problems -- Artificial Intelligence -- Comparing Beta-VAE to WGAN-GP for Time Series Augmentation to Improve Classification Performance -- Safe Policy Improvement Approaches and Their Limitations -- Integrative System of Deep Classifiers Certification: Case of Convolutional Attacks -- Co-operative Multi-agent Twin Delayed DDPG for Robust Phase Duration Optimization of Large Road Networks -- Generating the Gopher's Grounds: Form, Function, Order, and Alignment -- Domain Dependent Parameter Setting in SAT Solver using Machine Learning Techniques -- More Sustainable Text Classification via Uncertainty Sampling and a Human-in-the-Loop.
Record Nr. UNINA-9910645890503321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Agents and artificial intelligence : 13th International Conference, ICAART 2021, virtual event, February 4-6, 2021, revised selected papers / / Ana Paula Rocha, Luc Steels, H. J. van den Herik (editors)
Agents and artificial intelligence : 13th International Conference, ICAART 2021, virtual event, February 4-6, 2021, revised selected papers / / Ana Paula Rocha, Luc Steels, H. J. van den Herik (editors)
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (353 pages)
Disciplina 006.3
Collana Lecture notes in computer science. Lecture notes in artificial intelligence
Soggetto topico Artificial intelligence
Intelligent agents (Computer software)
ISBN 3-031-10161-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Agents -- Specification Aware Multi-Agent Reinforcement Learning -- 1 Introduction -- 2 Foundations -- 2.1 Problem Formulation -- 2.2 Reinforcement Learning -- 2.3 Multi-Agent Reinforcement Learning -- 2.4 Reward Shaping in RL -- 3 Related Work -- 4 Smart Factory Domain -- 5 Specification Transfer -- 6 Evaluation -- 6.1 Experimental Setup -- 6.2 Analysis of Separate Reward Components -- 6.3 Scaling Challenges and Solutions -- 6.4 Safety Constraints as Reward Components -- 6.5 Case Study: Specification Compliant Run-Time Behavior -- 7 Discussion -- 8 Conclusion and Future Work -- References -- Task Bundle Delegation for Reducing the Flowtime -- 1 Introduction -- 2 Related Work -- 3 Multi-agent Situated Task Allocation -- 4 Consumption and Reallocation -- 5 Negotiation Strategy -- 5.1 Peer Modelling -- 5.2 Acceptability Rule -- 5.3 Offer Strategy -- 5.4 Acceptation Strategy -- 5.5 Agent Behaviour -- 6 Results and Discussion -- 6.1 Context of Experiments -- 6.2 Classical Heuristic and Acceptability Criterion -- 6.3 N-Ary Delegation -- 6.4 Distributed Constraint Optimization Problem (DCOP) -- 7 Conclusion -- References -- A Detailed Analysis of a Systematic Review About Requirements Engineering Processes for Multi-agent Systems -- 1 Introduction -- 2 Background -- 2.1 Requirements Engineering -- 2.2 Belief-Desire-Intention Model -- 3 Related Works -- 4 Research Method -- 4.1 The Research Questions -- 4.2 Identifying and Selecting Primary Studies -- 4.3 Inclusion and Exclusion Criteria -- 4.4 Studies Quality Assessment -- 4.5 Data Extraction Strategy -- 4.6 Conducting the Review -- 4.7 Data Extraction -- 5 Results -- 5.1 Methodologies Analysed in the Systematic Review -- 5.2 Coverage in Relation to the Requirements Engineering Subareas Defined in SWEBOK -- 5.3 Methodologies Supporting the BDI Model.
5.4 Gaps Found in This Review -- 6 Threats to Validity -- 7 Insights for Future Works -- 8 Conclusions and Future Works -- References -- Automatically-Generated Agent Organizations for Flexible Workflow Enactment -- 1 Introduction -- 2 A Running Example -- 3 From Business Process Models to Agent Organizations -- 3.1 Ontology and Goals from a Business Process -- 3.2 Mapping Goals to Agents via Organization -- 3.3 The BPMN2MOISE Tool -- 4 The Automatic Definition of Organizations -- 4.1 Heuristic for the Structural Specification: Roles and Groups -- 4.2 Heuristic for the Functional Specification: Goals and Plans -- 4.3 Heuristic for the Normative Specification -- 5 Conclusions -- References -- Negotiation Considering Privacy Loss on Asymmetric Multi-objective Decentralized Constraint Optimization Problem -- 1 Introduction -- 2 Background -- 2.1 Asymmetric Constraint Optimization Problem with Cost of Private Information to Be Published -- 2.2 Criteria and Measurement of Social Welfare -- 2.3 Decentralized Complete Solution Method for Asymmetric Multi-objective Constraint Optimization Problems Based on Pseudo-trees and Dynamic Programming -- 3 Decentralized Solution Framework for Selection of Utility Values to Be Published and Solution of Published Problems -- 3.1 Basic Design of Proposed Framework -- 3.2 Selection of Newly Published Utility Values -- 3.3 Evaluation Criteria for Utility Values to Be Published -- 3.4 Hierarchically Structured Cost Vector Integrating Criteria for Publication of Utility Values -- 3.5 Solving Problems with Published Utility Values -- 4 Additional Preprocessing Methods -- 4.1 Trading Utility Between Neighborhood Agents -- 4.2 Approximation of Binary Functions -- 5 Evaluation -- 5.1 Settings of Experiment -- 5.2 Experimental Results -- 6 Discussion -- 7 Conclusion -- References -- Artificial Intelligence.
Utilizing Out-Domain Datasets to Enhance Multi-task Citation Analysis -- 1 Introduction -- 2 Related Work -- 2.1 Sentiment Classification -- 2.2 Intent Classification -- 2.3 Out-Domain Data Utilization -- 3 Datasets -- 3.1 Sentiment Datasets -- 3.2 Intent Dataset -- 4 Contributions -- 4.1 ImpactCite -- 4.2 Overcoming Data Scarcity and Data Feeding Techniques -- 4.3 Fusion Approach -- 5 Experiments and Analysis -- 5.1 Intent Classification -- 5.2 Sentiment Classification -- 5.3 Out-Domain: Evaluating Impact of Additional Data -- 5.4 Multi-task Model: Fusing Scientific Sentiment and Intent -- 6 Discussion -- 7 Conclusion -- References -- Using Possibilistic Networks to Compute Learning Course Indicators -- 1 Introduction -- 2 Possibility Theory -- 3 Message Passing Inference -- 4 Compiling Possibilistic Networks -- 5 Experimentation -- 5.1 Presentation -- 5.2 Results -- 6 Conclusion -- References -- Assured Deep Multi-Agent Reinforcement Learning for Safe Robotic Systems -- 1 Introduction -- 2 Background -- 2.1 Markov Decision Process -- 2.2 Multi-Agent Markov Decision Process -- 2.3 Abstract Markov Decision Process -- 2.4 Single-Agent Reinforcement Learning -- 2.5 Multi-Agent Reinforcement Learning -- 2.6 Deep Reinforcement Learning -- 2.7 Quantitative Verification -- 3 Domain Example -- 4 Approach -- 5 Evaluation -- 5.1 Experimental Set-Up -- 5.2 Radiation Avoidance Patrolling Domain -- 5.3 Multi-Agent Guarded Flag Collection -- 6 Related Work -- 7 Conclusion -- References -- How to Segment Handwritten Historical Chronicles Using Fully Convolutional Networks? -- 1 Introduction -- 2 Related Work -- 2.1 Methods -- 2.2 Datasets -- 3 FCN Architecture -- 4 Experimental Setup -- 5 Experimental Results -- 5.1 Input Resolution -- 5.2 Loss Function Weighting -- 5.3 Training Data Extension -- 5.4 Combined Setup -- 5.5 Post-processing -- 5.6 Transfer Learning.
6 Porta Fontium Integration and Method Tuning -- 7 Conclusions and Future Work -- References -- On the Relationship with Toulmin Method to Logic-Based Argumentation -- 1 Introduction -- 2 Preliminaries -- 2.1 Toulmin Model of Argumentation -- 2.2 NDSA: Natural Deduction for Structured Argumentation -- 3 The Reception and Refinement of Toulmin's Model in Logic-Based Argumentation -- 3.1 Reasoning on NDSA and Admissible Sets -- 3.2 2-Tier AF: Two-Tier Argumentation Framework -- 4 Related Work -- 5 Conclusion and Future Direction -- References -- Informer: An Efficient Transformer Architecture Using Convolutional Layers -- 1 Introduction -- 2 Previous Work -- 3 Information Organization Layer -- 4 Experiments -- 4.1 Training Details -- 4.2 Results Analysis -- 5 Conclusions -- References -- Improving the Generalization of Deep Learning Classification Models in Medical Imaging Using Transfer Learning and Generative Adversarial Networks -- 1 Introduction -- 2 Related Work -- 2.1 Transfer Learning in Medical Imaging -- 2.2 Generative Adversarial Networks in Medical Imaging -- 3 Materials and Methods -- 3.1 Dataset Description and Pre-processing -- 3.2 Transfer Learning Models -- 3.3 Generative Adversarial Networks (GAN) -- 4 Results -- 4.1 Comparison of Results with Other Recent Similar Works -- 5 Discussion -- 6 Conclusions and Future Work -- References -- An Interpretable Word Sense Classifier for Human Explainable Chatbot -- 1 Introduction -- 2 Related Work -- 3 Proposed Tsetlin Machine Based Word Sense Disambiguation -- 3.1 Tsetlin Machine -- 3.2 Training of the Proposed WSD Model -- 4 Performance and Interpretation of WSD -- 4.1 Results -- 4.2 Explainable WSD -- 4.3 Application of Interpretation in Chatbot -- 5 Conclusion -- References -- A Tsetlin Machine Framework for Universal Outlier and Novelty Detection -- 1 Introduction -- 2 Related Work.
3 Tsetlin Machine Framework -- 3.1 TM Architecture for Generator -- 3.2 Classifier -- 4 Experiments and Results -- 4.1 Outlier Detection -- 4.2 Novelty Detection in Text -- 5 Conclusions -- References -- Adding Supply/Demand Imbalance-Sensitivity to Simple Automated Trader-Agents -- 1 Introduction -- 2 Prior Work -- 2.1 Automated Traders -- 2.2 Critique of Church & -- Cliff -- 2.3 Measuring Imbalance -- 3 Adding MLOFI-Impact to Robot Traders -- 3.1 Simple Robot Traders with Impact: AA, ZIP, and ISHV -- 3.2 MLOFI Opinionated PRZI Traders for Narrative Economics -- 4 Discussion and Conclusion -- References -- Advances in Measuring Inflation Within Virtual Economies Using Deep Reinforcement Learning -- 1 Introduction -- 1.1 Proposed System -- 2 Related Works -- 2.1 Parameter Tuning -- 2.2 Game Balance -- 2.3 Automated Game Testing -- 3 History of Economies in Games -- 3.1 Eve Online -- 4 Testing Economies -- 5 Parameter Tuning -- 6 Methods -- 6.1 Economy Design -- 6.2 Adventure Agents -- 6.3 Co-operative Behaviours -- 6.4 Crafting Agents -- 6.5 Training -- 6.6 Economy Sinks -- 6.7 Training -- 6.8 Parameter Tuning -- 6.9 Data Collection -- 7 Inflation Results -- 7.1 Results - Parameter Tuning -- 8 Discussion and Future Work -- References -- Practical City Scale Stochastic Path Planning with Pre-computation -- 1 Introduction -- 2 Previous Work -- 3 Framework -- 3.1 City and Edge Weights -- 3.2 Traffic Data -- 3.3 Open Street Map -- 3.4 Agents -- 3.5 City Graph Partitioning -- 3.6 Exemplar Assignment -- 3.7 Base Path Planning Framework -- 3.8 Pre-processing: Building Distance Oracles -- 3.9 Scalable Algorithm -- 4 Experiments and Results -- 4.1 How Many Partitions Are Needed to Represent the City Graph? -- 4.2 Which Partitioning Method We Picked? -- 4.3 Which Exemplar Assignment Approach Is the Best? -- 4.4 How Is the Quality of Approximate Paths?.
4.5 What Is the Time and Space Complexity of Scalable Algorithm?.
Record Nr. UNISA-996483162203316
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Agents and artificial intelligence : 12th international conference, ICAART 2020, Valletta, Malta, February 22-24, 2020 : revised selected papers / / Ana Paula Rocha, Luc Steels, Jaap van den Herik (editors)
Agents and artificial intelligence : 12th international conference, ICAART 2020, Valletta, Malta, February 22-24, 2020 : revised selected papers / / Ana Paula Rocha, Luc Steels, Jaap van den Herik (editors)
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (XVII, 506 p. 197 illus., 147 illus. in color.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
ISBN 3-030-71158-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Herd Behavior is Sufficient to Reproduce Human Evacuation Decisions During the Great East Japan Earthquake -- Intelligent Local Energy Communities: A Multiagent System Approach -- A Game-theoretical Incentive Mechanism for Local Energy Communities -- On the Combination of Game-Theoretic Learning and Multi Model Adaptive Filters -- Cooperative Multi-Agent Systems for the Multi-Target-Coverage Problem -- A Dynamic Scheduling Multiagent System for Truck Dispatching in Open-Pit Mines -- Time Matters: Exploring the Effects of Urgency and Reaction Speed in Automated Traders -- Cost-Sensitive Semi-Supervised Classification for Fraud Applications -- Blending NLP and Machine Learning for the Development of Winograd Schemas -- Cognitive Map Query Language for Temporal Domains -- Choose Your Words Wisely: Leveraging Embedded Dialog Trajectories to Enhance Performance in Open-Domain Conversations -- Heuristic Learning in Domain-independent Planning: Theoretical Analysis and Experimental Evaluation -- Knowledge Injection to Neural Networks with Progressive Learning Strategy -- A Scalable and Automated Machine Learning Framework to Support Risk Management -- Designing New Data Replication Strategies Automatically -- Trading Bias for Expressivity in Artificial Learning -- A Multi-Modal Audience Engagement Measurement System -- Learning Latent Variable Models with Discriminant Regularization -- Continuous Multi-Agent Path Finding via Satisfiability Modulo Theories -- Unsupervised Feature Value Selection Based on Explainability -- Reducing the Need for Manual Annotated Datasets in Aspect Sentiment Classification by Transfer Learning and Weak-Supervision -- Quantifying Gaze-Based Strategic Patterns in Physics Vector Field Divergence -- Economic and Food Safety: Optimized Inspection Routes Generation.
Record Nr. UNINA-9910483855403321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Agents and artificial intelligence : 12th international conference, ICAART 2020, Valletta, Malta, February 22-24, 2020 : revised selected papers / / Ana Paula Rocha, Luc Steels, Jaap van den Herik (editors)
Agents and artificial intelligence : 12th international conference, ICAART 2020, Valletta, Malta, February 22-24, 2020 : revised selected papers / / Ana Paula Rocha, Luc Steels, Jaap van den Herik (editors)
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (XVII, 506 p. 197 illus., 147 illus. in color.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
ISBN 3-030-71158-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Herd Behavior is Sufficient to Reproduce Human Evacuation Decisions During the Great East Japan Earthquake -- Intelligent Local Energy Communities: A Multiagent System Approach -- A Game-theoretical Incentive Mechanism for Local Energy Communities -- On the Combination of Game-Theoretic Learning and Multi Model Adaptive Filters -- Cooperative Multi-Agent Systems for the Multi-Target-Coverage Problem -- A Dynamic Scheduling Multiagent System for Truck Dispatching in Open-Pit Mines -- Time Matters: Exploring the Effects of Urgency and Reaction Speed in Automated Traders -- Cost-Sensitive Semi-Supervised Classification for Fraud Applications -- Blending NLP and Machine Learning for the Development of Winograd Schemas -- Cognitive Map Query Language for Temporal Domains -- Choose Your Words Wisely: Leveraging Embedded Dialog Trajectories to Enhance Performance in Open-Domain Conversations -- Heuristic Learning in Domain-independent Planning: Theoretical Analysis and Experimental Evaluation -- Knowledge Injection to Neural Networks with Progressive Learning Strategy -- A Scalable and Automated Machine Learning Framework to Support Risk Management -- Designing New Data Replication Strategies Automatically -- Trading Bias for Expressivity in Artificial Learning -- A Multi-Modal Audience Engagement Measurement System -- Learning Latent Variable Models with Discriminant Regularization -- Continuous Multi-Agent Path Finding via Satisfiability Modulo Theories -- Unsupervised Feature Value Selection Based on Explainability -- Reducing the Need for Manual Annotated Datasets in Aspect Sentiment Classification by Transfer Learning and Weak-Supervision -- Quantifying Gaze-Based Strategic Patterns in Physics Vector Field Divergence -- Economic and Food Safety: Optimized Inspection Routes Generation.
Record Nr. UNISA-996464410203316
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Agents and Artificial Intelligence [[electronic resource] ] : 11th International Conference, ICAART 2019, Prague, Czech Republic, February 19–21, 2019, Revised Selected Papers / / edited by Jaap van den Herik, Ana Paula Rocha, Luc Steels
Agents and Artificial Intelligence [[electronic resource] ] : 11th International Conference, ICAART 2019, Prague, Czech Republic, February 19–21, 2019, Revised Selected Papers / / edited by Jaap van den Herik, Ana Paula Rocha, Luc Steels
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (xviii, 362 pages) : illustrations
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Application software
Architecture, Computer
Algorithms
Artificial Intelligence
Information Systems Applications (incl. Internet)
Computer System Implementation
Algorithm Analysis and Problem Complexity
ISBN 3-030-37494-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The Dynamics of Semantic Change: A Corpus-based Analysis -- Reinforcement Learning Method for ad Networks Ordering in Real-time Bidding -- Neural Hidden Markov Model -- A General Approach to Distributed and Privacy-Preserving Heuristic Computation -- Social Golfer Problem Revisited -- Weighted Personalized Factorizations for Network Classification with Approximated Relation Weights -- Multi-Agent Path Finding with Generalized Conflicts: An Experimental Study -- Dynamics of Narrow-minded Belief and Its Cut-free Sequent Calculus -- Application of PSO-based Constrained Combinatorial Optimization to Segment Assignment in Shield Tunneling -- Boosting Local Search using Machine Learning: A Study on Improving Local Search by Graph Classification in Determining Capacity of Shunting Yards -- Bipartite Split-merge Evolutionary Clustering -- Wide and Deep Reinforcement Learning Extended for Grid-based Action Games -- Adaptive-aggressive Traders Don't Dominate -- Improvement of Multi-agent Continuous Cooperative Patrolling with Learning of Activity Length -- Symmetry Breaking in Evacuation Exit Choice: Impacts of Cognitive Bias and Physical Factor on Evacuation Decision -- The Effect of Laziness on Agents for Large Scale Global Optimization -- Conversational Agents for Insurance Companies: From Theory to Practice.
Record Nr. UNINA-9910364954203321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Agents and Artificial Intelligence [[electronic resource] ] : 11th International Conference, ICAART 2019, Prague, Czech Republic, February 19–21, 2019, Revised Selected Papers / / edited by Jaap van den Herik, Ana Paula Rocha, Luc Steels
Agents and Artificial Intelligence [[electronic resource] ] : 11th International Conference, ICAART 2019, Prague, Czech Republic, February 19–21, 2019, Revised Selected Papers / / edited by Jaap van den Herik, Ana Paula Rocha, Luc Steels
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (xviii, 362 pages) : illustrations
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Application software
Architecture, Computer
Algorithms
Artificial Intelligence
Information Systems Applications (incl. Internet)
Computer System Implementation
Algorithm Analysis and Problem Complexity
ISBN 3-030-37494-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The Dynamics of Semantic Change: A Corpus-based Analysis -- Reinforcement Learning Method for ad Networks Ordering in Real-time Bidding -- Neural Hidden Markov Model -- A General Approach to Distributed and Privacy-Preserving Heuristic Computation -- Social Golfer Problem Revisited -- Weighted Personalized Factorizations for Network Classification with Approximated Relation Weights -- Multi-Agent Path Finding with Generalized Conflicts: An Experimental Study -- Dynamics of Narrow-minded Belief and Its Cut-free Sequent Calculus -- Application of PSO-based Constrained Combinatorial Optimization to Segment Assignment in Shield Tunneling -- Boosting Local Search using Machine Learning: A Study on Improving Local Search by Graph Classification in Determining Capacity of Shunting Yards -- Bipartite Split-merge Evolutionary Clustering -- Wide and Deep Reinforcement Learning Extended for Grid-based Action Games -- Adaptive-aggressive Traders Don't Dominate -- Improvement of Multi-agent Continuous Cooperative Patrolling with Learning of Activity Length -- Symmetry Breaking in Evacuation Exit Choice: Impacts of Cognitive Bias and Physical Factor on Evacuation Decision -- The Effect of Laziness on Agents for Large Scale Global Optimization -- Conversational Agents for Insurance Companies: From Theory to Practice.
Record Nr. UNISA-996466189103316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui