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Citizen in Sensor Networks [[electronic resource] ] : Second International Workshop, CitiSens 2013, Barcelona, Spain, September 19, 2013, Revised Selected Papers / / edited by Jordi Nin, Daniel Villatoro
| Citizen in Sensor Networks [[electronic resource] ] : Second International Workshop, CitiSens 2013, Barcelona, Spain, September 19, 2013, Revised Selected Papers / / edited by Jordi Nin, Daniel Villatoro |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (IX, 109 p. 33 illus.) |
| Disciplina | 006.312 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Intel·ligència artificial
Sistemes multiagent Interfícies d'usuari (Sistemes d'ordinadors) Xarxes de sensors Artificial intelligence Data mining Information storage and retrieval Application software User interfaces (Computer systems) Artificial Intelligence Data Mining and Knowledge Discovery Information Storage and Retrieval Information Systems Applications (incl. Internet) User Interfaces and Human Computer Interaction Computer Applications |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-319-04178-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Trajectory Mining -- Actions in Context: System for people with Dementia -- Transportation planning based on GSM traces: a case study on Ivory Coast -- From Tweets to Semantic Trajectories: mining Anomalous Urban Mobility Patterns -- Transportation Networks -- Crowdsensing Simulation Using ns-3 -- On the Use of Social Trajectory-based Clustering Methods for Public Transport Optimization -- Migration Movements -- Tracking Human Migration From Online Attention -- Data Anonymization -- Beyond Multivariate Microaggregation for Large Record Anonymization. |
| Record Nr. | UNISA-996198766703316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Citizen in Sensor Networks [[electronic resource] ] : First International Workshop, CitiSens 2012, Montpellier, France, August 27, 2012, Revised Selected Papers / / edited by Jordi Nin, Daniel Villatoro
| Citizen in Sensor Networks [[electronic resource] ] : First International Workshop, CitiSens 2012, Montpellier, France, August 27, 2012, Revised Selected Papers / / edited by Jordi Nin, Daniel Villatoro |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (VIII, 95 p. 35 illus.) |
| Disciplina | 681.2 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Intel·ligència artificial
Sistemes multiagent Xarxes de sensors Artificial intelligence Data mining Information storage and retrieval Application software User interfaces (Computer systems) Artificial Intelligence Data Mining and Knowledge Discovery Information Storage and Retrieval Information Systems Applications (incl. Internet) User Interfaces and Human Computer Interaction Computer Applications |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-642-36074-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Citizens Sensor Networks.- Crowdsourcing for Industrial Problems -- Multiagent Co-ordination of Wireless Sensor Networks.- On the Protection of Social Network-Extracted Categorical Microdata.- The TweetBeat of the City: Microblogging Used for Discovering Behavioural Patterns during the MWC2012.- A Platform for Citizen Sensing in Sentient Cities.- Incorporating Mobility Patterns in Pedestrian Quantity Estimation and Sensor Placement.- Users as Smart Sensors: A Mobile Platform for Sensing Public Transport Incidents -- Crowdsourcing for Industrial Problems -- Multiagent Co-ordination of Wireless Sensor Networks.- On the Protection of Social Network-Extracted Categorical Microdata.- The TweetBeat of the City: Microblogging Used for Discovering Behavioural Patterns during the MWC2012.- A Platform for Citizen Sensing in Sentient Cities.- Incorporating Mobility Patterns in Pedestrian Quantity Estimation and Sensor Placement.- Users as Smart Sensors: A Mobile Platform for Sensing Public Transport Incidents. . |
| Record Nr. | UNISA-996465978003316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Cooperative coverage control of multi-agent systems and its applications / / Chao Zhai, Hai-Tao Zhang and Gaoxi Xiao
| Cooperative coverage control of multi-agent systems and its applications / / Chao Zhai, Hai-Tao Zhang and Gaoxi Xiao |
| Autore | Zhai Chao |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (151 pages) |
| Disciplina | 621.811 |
| Collana | Studies in Systems, Decision and Control |
| Soggetto topico |
Sistemes multiagent
Multibody systems - Mathematical models Multibody systems - Computer programs |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-16-7625-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgements -- Contents -- Acronyms and Notation -- Acronyms -- Notation -- 1 Introduction to Multi-agent Cooperative Coverage Control -- 1.1 Background -- 1.2 State of the Art -- 1.3 Outline of the Book -- References -- 2 Distributed Control Scheme for Online Workload Partition -- 2.1 Introduction -- 2.2 Problem Statement -- 2.3 Theoretical Analysis -- 2.4 Simulation Results -- 2.5 Conclusions -- References -- 3 Decentralized Cooperative Sweep Coverage Algorithm in Uncertain Environments -- 3.1 Introduction -- 3.2 Formulation and Coverage Algorithm -- 3.3 Technical Analysis -- 3.3.1 Key Lemmas -- 3.3.2 Main Results -- 3.4 Simulation Results -- 3.5 Conclusions -- References -- 4 Adaptive Cooperative Coverage Algorithm with Online Learning Strategies -- 4.1 Introduction -- 4.2 Problem Formulation -- 4.3 Technical Analysis -- 4.4 Conclusions -- References -- 5 Distributed Sweep Coverage Algorithm Using Workload Memory -- 5.1 Introduction -- 5.2 Problem Formulation -- 5.3 Key Lemmas -- 5.4 Stability Analysis -- 5.5 Numerical Simulations -- 5.6 Conclusions -- References -- 6 Cooperative Sweep Coverage Algorithm of Discrete Time Multi-agent Systems -- 6.1 Introduction -- 6.2 Problem Formulation -- 6.3 Main Results -- 6.4 Simulations -- 6.5 Conclusions -- References -- 7 Coverage-Based Cooperative Interception Against Supersonic Flight Vehicles -- 7.1 Introduction -- 7.2 Problem Formulation -- 7.3 Main Results -- 7.4 Numerical Simulation -- 7.5 Conclusions -- References -- 8 Coverage-Based Cooperative Routing Algorithm for Unmanned Ground Vehicles -- 8.1 Introduction -- 8.2 Basic Idea -- 8.3 Routing Algorithm -- 8.4 Simulation Results -- 8.5 Conclusions -- References -- 9 Cooperative Coverage Control of Wireless Sensor Networks for Environment Monitoring -- 9.1 Introduction -- 9.2 Problem Statement -- 9.3 Main Results.
9.3.1 Coverage Region Without Obstacles -- 9.3.2 Coverage Region with Obstacles -- 9.4 Numerical Simulation -- 9.5 Conclusions -- References -- 10 Summary and Future Work -- 10.1 Summary -- 10.2 Future Work -- Appendix Mathematical Concepts -- A.1 Algebraic Graph Theory -- A.2 Input-to-State Stability -- References. |
| Record Nr. | UNISA-996466558403316 |
Zhai Chao
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| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Generic multi-agent reinforcement learning approach for flexible job-shop scheduling / / Schirin Bär
| Generic multi-agent reinforcement learning approach for flexible job-shop scheduling / / Schirin Bär |
| Autore | Bär Schirin |
| Pubbl/distr/stampa | Wiesbaden : , : Springer Vieweg, , [2022] |
| Descrizione fisica | 1 online resource (163 pages) |
| Disciplina | 670.285 |
| Soggetto topico |
Flexible manufacturing systems
Reinforcement learning Aprenentatge per reforç (Intel·ligència artificial) Sistemes multiagent Sistemes de producció flexibles |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783658391799
9783658391782 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Danksagung -- Abstract -- Zusammenfassung -- Contents -- Abbreviations -- List of Figures -- List of Tables -- 1 Introduction -- 1.1 Research Goals -- 1.2 Methodology -- 1.3 Structure of the Thesis -- 2 Requirements for Production Scheduling in Flexible Manufacturing -- 2.1 Foundations of Flexible Job-Shop Scheduling Problems -- 2.2 Requirement Analysis of Flexible Scheduling Solutions -- 2.2.1 Influences on Warehouse Control Systems -- 2.2.2 Influences on Manufacturing Control Systems -- 2.2.3 Derived and Ranked Requirements -- 2.3 State of the Art: Approaches to Solve Job-Shop Scheduling Problems -- 2.3.1 Conventional Scheduling Solutions -- 2.3.2 Reinforcement Learning Scheduling Solutions -- 2.4 Identification of the Research Gap -- 2.5 Contribution of this Work: Extended Flexible Job-Shop Scheduling Problem -- 3 Reinforcement Learning as an Approach for Flexible Scheduling -- 3.1 Understanding the Foundations: Formalization as a Markov Decision Process -- 3.1.1 Agent-Environment Interaction -- 3.1.2 Policies and Value Functions -- 3.1.3 Challenges Arising in Reinforcement Learning -- 3.2 Deep Q-Learning -- 3.2.1 Temporal Difference Learning and Q-Learning -- 3.2.2 Deep Q-Network -- 3.2.3 Loss Optimization -- 3.3 State of the Art: Cooperating Agents to Solve Complex Problems -- 3.3.1 Multi-Agent Learning Methods -- 3.3.2 Learning in Cooperative Multi-Agent RL Setups -- 3.4 Summary -- 4 Concept for Multi-Resources Flexible Job-Shop Scheduling -- 4.1 Concept for Agent-based Scheduling in FMS -- 4.1.1 Overall Concept -- 4.1.2 Job Specification -- 4.1.3 Petri Net Simulation -- 4.2 Formalization as a Markov Decision Process -- 4.2.1 Action Designs -- 4.2.2 State Designs -- 4.2.3 Reward Design -- 4.3 Considered Flexible Manufacturing System -- 4.4 Evaluation of the Technical Functionalities -- 4.5 Summary.
5 Multi-Agent Approach for Reactive Scheduling in Flexible Manufacturing -- 5.1 Training Set-up -- 5.2 Specification of the Reward Design -- 5.3 Evaluation of Suitable Training Strategies -- 5.3.1 Evaluation of MARL Algorithms -- 5.3.2 Selection of MARL Learning Methods -- 5.3.3 Evaluation of Parameter Sharing and Centralized Learning -- 5.4 Training Approach to Present Situations -- 5.5 Summary -- 6 Empirical Evaluation of the Requirements -- 6.1 Generalization to Various Products and Machines -- 6.2 Achieving the Global Objective -- 6.2.1 Comparison of Dense and Sparse Global Rewards -- 6.2.2 Cooperative Behavior -- 6.3 Benchmarking against Heuristic Search Algorithms -- 6.3.1 Evaluation for Unknown and Known Situations -- 6.3.2 Evaluation of Real-time Decision-Making -- 6.4 Consolidated Requirements Evaluation -- 6.5 Summary -- 7 Integration into a Flexible Manufacturing System -- 7.1 Acceptance Criteria for the Integration Concept -- 7.2 Integration Concept of MARL Scheduling Solution -- 7.2.1 Integration in the MES -- 7.2.2 Information Exchange -- 7.3 Design Cycle -- 7.3.1 Functioning Scheduling -- 7.3.2 Efficient Production Flow -- 7.3.3 Handling of Unforeseen Events -- 7.3.4 Handling of New Machine Skills -- 7.3.5 Handling of New Machines -- 7.4 Summary -- 8 Critical Discussion and Outlook -- 9 Summary -- 1 Bibliography. |
| Record Nr. | UNINA-9910616202703321 |
|
Bär Schirin
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| Wiesbaden : , : Springer Vieweg, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Generic multi-agent reinforcement learning approach for flexible job-shop scheduling / / Schirin Bär
| Generic multi-agent reinforcement learning approach for flexible job-shop scheduling / / Schirin Bär |
| Autore | Bär Schirin |
| Pubbl/distr/stampa | Wiesbaden : , : Springer Vieweg, , [2022] |
| Descrizione fisica | 1 online resource (163 pages) |
| Disciplina | 670.285 |
| Soggetto topico |
Flexible manufacturing systems
Reinforcement learning Aprenentatge per reforç (Intel·ligència artificial) Sistemes multiagent Sistemes de producció flexibles |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783658391799
9783658391782 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Danksagung -- Abstract -- Zusammenfassung -- Contents -- Abbreviations -- List of Figures -- List of Tables -- 1 Introduction -- 1.1 Research Goals -- 1.2 Methodology -- 1.3 Structure of the Thesis -- 2 Requirements for Production Scheduling in Flexible Manufacturing -- 2.1 Foundations of Flexible Job-Shop Scheduling Problems -- 2.2 Requirement Analysis of Flexible Scheduling Solutions -- 2.2.1 Influences on Warehouse Control Systems -- 2.2.2 Influences on Manufacturing Control Systems -- 2.2.3 Derived and Ranked Requirements -- 2.3 State of the Art: Approaches to Solve Job-Shop Scheduling Problems -- 2.3.1 Conventional Scheduling Solutions -- 2.3.2 Reinforcement Learning Scheduling Solutions -- 2.4 Identification of the Research Gap -- 2.5 Contribution of this Work: Extended Flexible Job-Shop Scheduling Problem -- 3 Reinforcement Learning as an Approach for Flexible Scheduling -- 3.1 Understanding the Foundations: Formalization as a Markov Decision Process -- 3.1.1 Agent-Environment Interaction -- 3.1.2 Policies and Value Functions -- 3.1.3 Challenges Arising in Reinforcement Learning -- 3.2 Deep Q-Learning -- 3.2.1 Temporal Difference Learning and Q-Learning -- 3.2.2 Deep Q-Network -- 3.2.3 Loss Optimization -- 3.3 State of the Art: Cooperating Agents to Solve Complex Problems -- 3.3.1 Multi-Agent Learning Methods -- 3.3.2 Learning in Cooperative Multi-Agent RL Setups -- 3.4 Summary -- 4 Concept for Multi-Resources Flexible Job-Shop Scheduling -- 4.1 Concept for Agent-based Scheduling in FMS -- 4.1.1 Overall Concept -- 4.1.2 Job Specification -- 4.1.3 Petri Net Simulation -- 4.2 Formalization as a Markov Decision Process -- 4.2.1 Action Designs -- 4.2.2 State Designs -- 4.2.3 Reward Design -- 4.3 Considered Flexible Manufacturing System -- 4.4 Evaluation of the Technical Functionalities -- 4.5 Summary.
5 Multi-Agent Approach for Reactive Scheduling in Flexible Manufacturing -- 5.1 Training Set-up -- 5.2 Specification of the Reward Design -- 5.3 Evaluation of Suitable Training Strategies -- 5.3.1 Evaluation of MARL Algorithms -- 5.3.2 Selection of MARL Learning Methods -- 5.3.3 Evaluation of Parameter Sharing and Centralized Learning -- 5.4 Training Approach to Present Situations -- 5.5 Summary -- 6 Empirical Evaluation of the Requirements -- 6.1 Generalization to Various Products and Machines -- 6.2 Achieving the Global Objective -- 6.2.1 Comparison of Dense and Sparse Global Rewards -- 6.2.2 Cooperative Behavior -- 6.3 Benchmarking against Heuristic Search Algorithms -- 6.3.1 Evaluation for Unknown and Known Situations -- 6.3.2 Evaluation of Real-time Decision-Making -- 6.4 Consolidated Requirements Evaluation -- 6.5 Summary -- 7 Integration into a Flexible Manufacturing System -- 7.1 Acceptance Criteria for the Integration Concept -- 7.2 Integration Concept of MARL Scheduling Solution -- 7.2.1 Integration in the MES -- 7.2.2 Information Exchange -- 7.3 Design Cycle -- 7.3.1 Functioning Scheduling -- 7.3.2 Efficient Production Flow -- 7.3.3 Handling of Unforeseen Events -- 7.3.4 Handling of New Machine Skills -- 7.3.5 Handling of New Machines -- 7.4 Summary -- 8 Critical Discussion and Outlook -- 9 Summary -- 1 Bibliography. |
| Record Nr. | UNISA-996495171403316 |
|
Bär Schirin
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||
| Wiesbaden : , : Springer Vieweg, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine Learning Perspectives of Agent-Based Models : Practical Applications to Economic Crises and Pandemics with Python, R, Netlogo and Julia / / edited by Pedro Campos, Anand Rao, Joaquim Margarido
| Machine Learning Perspectives of Agent-Based Models : Practical Applications to Economic Crises and Pandemics with Python, R, Netlogo and Julia / / edited by Pedro Campos, Anand Rao, Joaquim Margarido |
| Autore | Campos Pedro |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (449 pages) |
| Disciplina | 519.5 |
| Altri autori (Persone) |
RaoAnand
MargaridoJoaquim |
| Collana | Mathematics and Statistics Series |
| Soggetto topico |
Statistics
Biometry Statistical Theory and Methods Biostatistics Statistics in Business, Management, Economics, Finance, Insurance Aprenentatge automàtic Sistemes multiagent |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-73354-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Agent-Based Models and the Economics of Crisis -- The Machine Learning perspective -- Setting up Agent-Based Models of Crisis (Microeconomic Model of Crisis; Virus on a Network Spread Model) -- Developing models with Python and R. |
| Record Nr. | UNINA-9911021143603321 |
|
Campos Pedro
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Synchronization of multi-agent systems in the presence of disturbances and delays / / Ali Saberi [and three others]
| Synchronization of multi-agent systems in the presence of disturbances and delays / / Ali Saberi [and three others] |
| Autore | Saberi Ali |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (673 pages) |
| Disciplina | 006.30285436 |
| Collana | Systems & Control |
| Soggetto topico |
Multiagent systems
Synchronization Sistemes multiagent Sincronització |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-88148-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466415903316 |
|
Saberi Ali
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| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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