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Agents and Robots for Reliable Engineered Autonomy
Agents and Robots for Reliable Engineered Autonomy
Autore Cardoso Rafael C
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (150 p.)
Soggetto topico Technology: general issues
Soggetto non controllato belief-desire-intention (BDI)
jason
robot operating system (ROS)
robotic agents
collective autonomy
self-organisation
aggregate computing
multi-agent systems
coordination
robotics
software engineering
verification and validation
human-agent interaction
Rules of the Road
Autonomous Vehicles
agents
model checking
self-driving vehicle
formal verification
rational agent
decision-making
ROS
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557485603321
Cardoso Rafael C  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The Multi-Agent Programming Contest 2018 [[electronic resource] ] : Agents Teaming Up in an Urban Environment / / edited by Tobias Ahlbrecht, Jürgen Dix, Niklas Fiekas
The Multi-Agent Programming Contest 2018 [[electronic resource] ] : Agents Teaming Up in an Urban Environment / / edited by Tobias Ahlbrecht, Jürgen Dix, Niklas Fiekas
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (VII, 145 p. 31 illus., 21 illus. in color.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computer communication systems
Special purpose computers
Application software
Coding theory
Information theory
Software engineering
Artificial Intelligence
Computer Communication Networks
Special Purpose and Application-Based Systems
Information Systems Applications (incl. Internet)
Coding and Information Theory
Software Engineering/Programming and Operating Systems
ISBN 3-030-37959-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The Contest -- The Multi-Agent Programming Contest 2018 - A third time in the city -- The Teams -- task-oriented architecture with priority queue for BDI agents applied to the Multi Agent Programming Contest scenario -- Multi-Agent Programming Contest 2018 - The Jason-DTU Team -- SMART-JaCaMo: an Organisation-Based Team for the Multi-Agent Programming Contest -- Distributed Decision-Making based on Shared Knowledge in the Multi-Agent Programming Contest -- ROS Hybrid Behaviour Planner: Behaviour Hierarchies and Self-Organisation in the Multi-Agent Programming Contest.
Record Nr. UNISA-996466211703316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
The Multi-Agent Programming Contest 2018 : Agents Teaming Up in an Urban Environment / / edited by Tobias Ahlbrecht, Jürgen Dix, Niklas Fiekas
The Multi-Agent Programming Contest 2018 : Agents Teaming Up in an Urban Environment / / edited by Tobias Ahlbrecht, Jürgen Dix, Niklas Fiekas
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (VII, 145 p. 31 illus., 21 illus. in color.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computer communication systems
Special purpose computers
Application software
Coding theory
Information theory
Software engineering
Artificial Intelligence
Computer Communication Networks
Special Purpose and Application-Based Systems
Information Systems Applications (incl. Internet)
Coding and Information Theory
Software Engineering/Programming and Operating Systems
ISBN 3-030-37959-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The Contest -- The Multi-Agent Programming Contest 2018 - A third time in the city -- The Teams -- task-oriented architecture with priority queue for BDI agents applied to the Multi Agent Programming Contest scenario -- Multi-Agent Programming Contest 2018 - The Jason-DTU Team -- SMART-JaCaMo: an Organisation-Based Team for the Multi-Agent Programming Contest -- Distributed Decision-Making based on Shared Knowledge in the Multi-Agent Programming Contest -- ROS Hybrid Behaviour Planner: Behaviour Hierarchies and Self-Organisation in the Multi-Agent Programming Contest.
Record Nr. UNINA-9910370258603321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The Multi-agent Programming contest 2019 : agents assemble - block by block to victory. / / Tobias Ahlbrecht [and three others] (editors)
The Multi-agent Programming contest 2019 : agents assemble - block by block to victory. / / Tobias Ahlbrecht [and three others] (editors)
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2020]
Descrizione fisica 1 online resource (VII, 151 p. 74 illus., 66 illus. in color.)
Disciplina 006.30285436
Collana Lecture Notes in Computer Science
Soggetto topico Multiagent systems
Multiagent systems - Competitions
ISBN 3-030-59299-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996418320603316
Cham, Switzerland : , : Springer, , [2020]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
The Multi-agent Programming contest 2019 : agents assemble - block by block to victory. / / Tobias Ahlbrecht [and three others] (editors)
The Multi-agent Programming contest 2019 : agents assemble - block by block to victory. / / Tobias Ahlbrecht [and three others] (editors)
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2020]
Descrizione fisica 1 online resource (VII, 151 p. 74 illus., 66 illus. in color.)
Disciplina 006.30285436
Collana Lecture Notes in Computer Science
Soggetto topico Multiagent systems
Multiagent systems - Competitions
ISBN 3-030-59299-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910427712003321
Cham, Switzerland : , : Springer, , [2020]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The multi-agent programming contest 2021 : one-and-a-half decades of exploring multi-agent systems / / Tobias Ahlbrecht [and three others], (editors)
The multi-agent programming contest 2021 : one-and-a-half decades of exploring multi-agent systems / / Tobias Ahlbrecht [and three others], (editors)
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (164 pages)
Disciplina 006.30285436
Collana Lecture notes in computer science
Soggetto topico Multiagent systems
ISBN 3-030-88549-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Overview -- The 15th Multi-Agent Programming Contest -- 1 Introduction -- 1.1 Related Work and Competitions -- 1.2 Outline -- 2 The Current Setting -- 2.1 Challenges -- 2.2 Modifications -- 3 The Tournament -- 3.1 Overall Organization -- 3.2 Participants -- 3.3 Final Ranking -- 3.4 Team Performance -- 3.5 Selected Matches -- 3.6 Free-for-All -- 4 Lessons Learned -- 4.1 A New Version of the Agents Assemble Scenario -- 4.2 The 15th MAPC -- 5 Outlook -- References -- Participants -- FIT BUT: Rational Agents in the Multi-Agent Programming Contest -- 1 Introduction -- 2 System Design -- 2.1 Strategies -- 2.2 Synchronization -- 2.3 Constructing a Map -- 2.4 Agent Reasoning Cycle -- 2.5 Goals and Plans -- 2.6 Action Reservation System -- 3 Summary of Matches -- 4 Conclusion -- 5 Limitations and Possible Improvements -- A Team Overview: Short Answers -- A.1 Participants and Their Background -- A.2 Statistics -- A.3 Technology and Techniques -- A.4 Agent System Details -- A.5 Scenario and Strategy -- A.6 And the Moral of it is … -- References -- The 15th Edition of the Multi-Agent Programming Contest - The GOAL-DTU Team -- 1 Introduction -- 2 The Strategy of Our Agents -- 2.1 Exploration of the Map -- 2.2 Accepting and Submitting Tasks -- 3 Storing and Maintaining Information -- 3.1 Immutable Objects in the Environment -- 3.2 Agreeing on Coordinates -- 3.3 Inferring the Map Dimensions -- 4 Moving About in the Environment -- 4.1 General Map Exploration -- 4.2 Movement Towards a Fixed Position -- 5 Communication Between Agents -- 5.1 Connecting to Other Agents -- 6 Constructing and Executing Task Plans -- 6.1 Construction of Task Plans -- 6.2 Execution of Task Plans -- 7 Evaluation of Matches -- 7.1 GOAL-DTU vs. LTI-USP -- 7.2 GOAL-DTU vs. MLFC -- 7.3 GOAL-DTU vs. FIT-BUT -- 7.4 GOAL-DTU vs. JaCaMo Builders.
7.5 Free for All -- 8 Discussion -- 8.1 System Robustness -- 8.2 Technical Issues -- 8.3 Further Work -- 9 Conclusion -- A Team Overview: Short Answers -- A.1 Participants and Their Background -- A.2 Statistics -- A.3 Technology and Techniques -- A.4 Agent System Details -- A.5 Scenario and Strategy -- A.6 And the Moral of it is … -- References -- MLFC: From 10 to 50 Planners in the Multi-Agent Programming Contest -- 1 Introduction -- 2 Languages and Tools -- 3 Main Strategies Taken from the 14th MAPC -- 3.1 Agent Identification -- 3.2 Building a Map -- 3.3 Planning -- 4 New Strategies for the 15th MAPC -- 4.1 Cartography -- 4.2 Formal Verification of Map Merging -- 4.3 Plan Cache -- 4.4 Bullies -- 4.5 Achieving Tasks -- 5 Match Analysis -- 6 Team Overview: Short Answers -- 6.1 Participants and Their Background -- 6.2 Statistics -- 6.3 Technology and Techniques -- 6.4 Agent System Details -- 6.5 Scenario and Strategy -- 6.6 And the Moral of it is … -- 7 Conclusion -- References -- The LTI-USP Strategy to the 2020/2021 Multi-Agent Programming Contest -- 1 Introduction -- 2 The 2020/2021 Scenario: Agents Assemble II -- 3 System Design -- 3.1 Exploration -- 3.2 Agent Identification -- 3.3 Task Owners and Auxiliary Agents -- 3.4 Task Selection -- 3.5 Path Planning -- 3.6 Achieving Tasks After Unexpected Events -- 4 Match Analysis -- 4.1 LTI-USP vs. GOAL-DTU -- 4.2 LTI-USP vs. JaCaMo Builders -- 4.3 LTI-USP vs. FIT BUT -- 4.4 LTI-USP vs. MLFC -- 5 Conclusion -- 6 Team Overview: Short Answers -- 6.1 Participants and Their Background -- 6.2 Statistics -- 6.3 Technology and Techniques -- 6.4 Agent System Details -- 6.5 Scenario and Strategy -- 6.6 And the Moral of it is … -- References -- JaCaMo Builders: Team Description for the Multi-agent Programming Contest 2020/21 -- 1 Introduction -- 2 System Analysis and Design -- 2.1 Environment Dimension.
2.2 Agent Dimension -- 3 Software Architecture -- 4 Strategies, Details and Statistics -- 4.1 Team Strategies -- 4.2 Comparison to Other Teams -- 5 Developing and Improving Agents -- 5.1 Unit and AB Tests for Agents -- 5.2 Reinforcement Learning with MAB -- 5.3 Interactive Programming Support -- 6 Conclusion -- A Team Overview: Short Answers -- A.1 Participants and Their Background -- A.2 Statistics -- A.3 Technology and Techniques -- A.4 Agent System Details -- A.5 Scenario and Strategy -- A.6 And the Moral of It Is … -- References -- Author Index.
Record Nr. UNINA-9910502624803321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The multi-agent programming contest 2021 : one-and-a-half decades of exploring multi-agent systems / / Tobias Ahlbrecht [and three others], (editors)
The multi-agent programming contest 2021 : one-and-a-half decades of exploring multi-agent systems / / Tobias Ahlbrecht [and three others], (editors)
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (164 pages)
Disciplina 006.30285436
Collana Lecture notes in computer science
Soggetto topico Multiagent systems
ISBN 3-030-88549-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Overview -- The 15th Multi-Agent Programming Contest -- 1 Introduction -- 1.1 Related Work and Competitions -- 1.2 Outline -- 2 The Current Setting -- 2.1 Challenges -- 2.2 Modifications -- 3 The Tournament -- 3.1 Overall Organization -- 3.2 Participants -- 3.3 Final Ranking -- 3.4 Team Performance -- 3.5 Selected Matches -- 3.6 Free-for-All -- 4 Lessons Learned -- 4.1 A New Version of the Agents Assemble Scenario -- 4.2 The 15th MAPC -- 5 Outlook -- References -- Participants -- FIT BUT: Rational Agents in the Multi-Agent Programming Contest -- 1 Introduction -- 2 System Design -- 2.1 Strategies -- 2.2 Synchronization -- 2.3 Constructing a Map -- 2.4 Agent Reasoning Cycle -- 2.5 Goals and Plans -- 2.6 Action Reservation System -- 3 Summary of Matches -- 4 Conclusion -- 5 Limitations and Possible Improvements -- A Team Overview: Short Answers -- A.1 Participants and Their Background -- A.2 Statistics -- A.3 Technology and Techniques -- A.4 Agent System Details -- A.5 Scenario and Strategy -- A.6 And the Moral of it is … -- References -- The 15th Edition of the Multi-Agent Programming Contest - The GOAL-DTU Team -- 1 Introduction -- 2 The Strategy of Our Agents -- 2.1 Exploration of the Map -- 2.2 Accepting and Submitting Tasks -- 3 Storing and Maintaining Information -- 3.1 Immutable Objects in the Environment -- 3.2 Agreeing on Coordinates -- 3.3 Inferring the Map Dimensions -- 4 Moving About in the Environment -- 4.1 General Map Exploration -- 4.2 Movement Towards a Fixed Position -- 5 Communication Between Agents -- 5.1 Connecting to Other Agents -- 6 Constructing and Executing Task Plans -- 6.1 Construction of Task Plans -- 6.2 Execution of Task Plans -- 7 Evaluation of Matches -- 7.1 GOAL-DTU vs. LTI-USP -- 7.2 GOAL-DTU vs. MLFC -- 7.3 GOAL-DTU vs. FIT-BUT -- 7.4 GOAL-DTU vs. JaCaMo Builders.
7.5 Free for All -- 8 Discussion -- 8.1 System Robustness -- 8.2 Technical Issues -- 8.3 Further Work -- 9 Conclusion -- A Team Overview: Short Answers -- A.1 Participants and Their Background -- A.2 Statistics -- A.3 Technology and Techniques -- A.4 Agent System Details -- A.5 Scenario and Strategy -- A.6 And the Moral of it is … -- References -- MLFC: From 10 to 50 Planners in the Multi-Agent Programming Contest -- 1 Introduction -- 2 Languages and Tools -- 3 Main Strategies Taken from the 14th MAPC -- 3.1 Agent Identification -- 3.2 Building a Map -- 3.3 Planning -- 4 New Strategies for the 15th MAPC -- 4.1 Cartography -- 4.2 Formal Verification of Map Merging -- 4.3 Plan Cache -- 4.4 Bullies -- 4.5 Achieving Tasks -- 5 Match Analysis -- 6 Team Overview: Short Answers -- 6.1 Participants and Their Background -- 6.2 Statistics -- 6.3 Technology and Techniques -- 6.4 Agent System Details -- 6.5 Scenario and Strategy -- 6.6 And the Moral of it is … -- 7 Conclusion -- References -- The LTI-USP Strategy to the 2020/2021 Multi-Agent Programming Contest -- 1 Introduction -- 2 The 2020/2021 Scenario: Agents Assemble II -- 3 System Design -- 3.1 Exploration -- 3.2 Agent Identification -- 3.3 Task Owners and Auxiliary Agents -- 3.4 Task Selection -- 3.5 Path Planning -- 3.6 Achieving Tasks After Unexpected Events -- 4 Match Analysis -- 4.1 LTI-USP vs. GOAL-DTU -- 4.2 LTI-USP vs. JaCaMo Builders -- 4.3 LTI-USP vs. FIT BUT -- 4.4 LTI-USP vs. MLFC -- 5 Conclusion -- 6 Team Overview: Short Answers -- 6.1 Participants and Their Background -- 6.2 Statistics -- 6.3 Technology and Techniques -- 6.4 Agent System Details -- 6.5 Scenario and Strategy -- 6.6 And the Moral of it is … -- References -- JaCaMo Builders: Team Description for the Multi-agent Programming Contest 2020/21 -- 1 Introduction -- 2 System Analysis and Design -- 2.1 Environment Dimension.
2.2 Agent Dimension -- 3 Software Architecture -- 4 Strategies, Details and Statistics -- 4.1 Team Strategies -- 4.2 Comparison to Other Teams -- 5 Developing and Improving Agents -- 5.1 Unit and AB Tests for Agents -- 5.2 Reinforcement Learning with MAB -- 5.3 Interactive Programming Support -- 6 Conclusion -- A Team Overview: Short Answers -- A.1 Participants and Their Background -- A.2 Statistics -- A.3 Technology and Techniques -- A.4 Agent System Details -- A.5 Scenario and Strategy -- A.6 And the Moral of It Is … -- References -- Author Index.
Record Nr. UNISA-996464524003316
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
The Multi-Agent Programming Contest 2022 [[electronic resource] ] : Coordinating Agents in a Dynamic World: Agents Follow the Rules, or Not / / edited by Tobias Ahlbrecht, Jürgen Dix, Niklas Fiekas, Tabajara Krausburg
The Multi-Agent Programming Contest 2022 [[electronic resource] ] : Coordinating Agents in a Dynamic World: Agents Follow the Rules, or Not / / edited by Tobias Ahlbrecht, Jürgen Dix, Niklas Fiekas, Tabajara Krausburg
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (203 pages)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Multiagent systems
Software engineering
Artificial Intelligence
Multiagent Systems
Software Engineering
ISBN 3-031-38712-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The MAPC 2022 - Background, realization & outcomes -- The Multi-Agent Programming Contest 2022 -- Optimization-based Agents in the 16th Multi-Agent Programming Contest -- The contestants and their agents -- MMD: The Block Building Agent Team with Explainable Intentions -- GOALdigger-AIG-Hagen Multi-Agent System: Team Description -- General deSouches commands multi-agent army for performing in Agents Assemble III scenario: FIT-BUT at MAPC 2022 -- The 16th Edition of the Multi-Agent Programming Contest - The GOAL-DTU Team -- LI(A)RA Team - A Declarative and Distributed Implementation for the MAPC 2022.
Record Nr. UNISA-996546854303316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
The Multi-Agent Programming Contest 2022 : Coordinating Agents in a Dynamic World: Agents Follow the Rules, or Not / / edited by Tobias Ahlbrecht, Jürgen Dix, Niklas Fiekas, Tabajara Krausburg
The Multi-Agent Programming Contest 2022 : Coordinating Agents in a Dynamic World: Agents Follow the Rules, or Not / / edited by Tobias Ahlbrecht, Jürgen Dix, Niklas Fiekas, Tabajara Krausburg
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (203 pages)
Disciplina 006.3
006.30285436
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Multiagent systems
Software engineering
Artificial Intelligence
Multiagent Systems
Software Engineering
ISBN 3-031-38712-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The MAPC 2022 - Background, realization & outcomes -- The Multi-Agent Programming Contest 2022 -- Optimization-based Agents in the 16th Multi-Agent Programming Contest -- The contestants and their agents -- MMD: The Block Building Agent Team with Explainable Intentions -- GOALdigger-AIG-Hagen Multi-Agent System: Team Description -- General deSouches commands multi-agent army for performing in Agents Assemble III scenario: FIT-BUT at MAPC 2022 -- The 16th Edition of the Multi-Agent Programming Contest - The GOAL-DTU Team -- LI(A)RA Team - A Declarative and Distributed Implementation for the MAPC 2022.
Record Nr. UNINA-9910741163803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui