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Engineering multi-agent systems : 4th International Workshop, EMAS 2016, Singapore, Singapore, May 9-10, 2016, Revised, selected, and invited papers / Matteo Baldoni, Jörg P. Müller, Ingrid Nunes, Rym Zalila-Wenkstern (eds.).

By: (4th : EMAS (Workshop) (4th : 2016 : Singapore)Contributor(s): Baldoni, Matteo, 1968- [editor.] | Müller, J. P. (Jörg P.), 1965- [editor.] | Nunes, Ingrid [editor.] | Zalila-Wenkstern, Rym [editor.]Material type: TextTextSeries: Serienbezeichnung | Lecture notes in computer science. Lecture notes in artificial intelligence ; ; 10093. | LNCS sublibrary. SL 7, Artificial intelligence.Publisher: Cham, Switzerland : Springer, 2016Description: 1 online resource (xii, 227 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9783319509839; 3319509837; 3319509829; 9783319509822Other title: EMAS 2016Subject(s): Multiagent systems -- Congresses | Software Engineering | Computer programming -- software development | Network hardware | Mathematical theory of computation | Ethical & social aspects of IT | Artificial intelligence | Computers -- Software Development & Engineering -- General | Computers -- Programming -- General | Computers -- Hardware -- Network Hardware | Mathematics -- Logic | Computers -- Social Aspects -- General | Computers -- Intelligence (AI) & Semantics | Multiagent systemsGenre/Form: Electronic books. | Electronic books. | Conference papers and proceedings. Additional physical formats: Printed edition:: No titleDDC classification: 006.3 LOC classification: QA76.76.I58Online resources: Click here to access online
Contents:
Intro; Preface; Organization; Contents; nDrites: Enabling Laboratory Resource Multi-agent Systems; 1 Introduction; 2 Previous Work; 3 The Laboratory Resource Multi-agent System (LR-MAS) Framework; 3.1 The Laboratory Resources Multi Agent System Model; 3.2 nDrites; 4 The Laboratory Resource Multi Agent System Implementation; 4.1 Communications; 4.2 Sending Messages to nDrites; 4.3 Sending Messages to Agents; 4.4 Definition of LR-MAS Agents; 5 The Analytical Monitoring Case Study; 6 The Instrument Failure Prediction Case Study; 7 Conclusions; References
Towards Data- and Norm-Aware Multiagent Systems1 Introduction; 2 Meyer's Forces: Processor, Action and Object; 3 From Functional Decomposition to MAS; 4 Need of Data and Norm Awareness; 5 Steps Towards Data and Norm Awareness; 6 Final Remarks; References; Monitoring Patients with Hypoglycemia Using Self-adaptive Protocol-Driven Agents: A Case Study; 1 Introduction and Motivation; 2 Related Work; 3 Self-adaptive Protocol-Driven Agents; 4 Modeling Medical Protocols for Hypoglycemia in the Newborns; 5 Conclusions and Future Work; References
Using Automatic Failure Detection for Cognitive Agents in Eclipse (AAMAS 2016 DEMONSTRATION)1 Introduction; 2 Automated Testing of Cognitive Agents; 2.1 Modules as Basic Unit for Testing; 2.2 Test Language; 2.3 Test Templates; 2.4 Test Approach; 2.5 Debugging, Testing, and Fault Localisation; 3 Debugging a Multi-agent System; 3.1 Stepping an Agent; 3.2 User-Defined Breakpoints; 3.3 User-Selectable Breakpoints; 3.4 State Inspection; 3.5 Interactive Console; 3.6 Watch Expressions; 3.7 Logging; 4 Testing GOAL Agents in the Eclipse IDE; 5 Evaluation; 6 Conclusion; References
PriGuardTool: A Web-Based Tool to Detect Privacy Violations Semantically1 Introduction; 2 Background: PriGuard Approach; 3 PriGuardTool; 4 Implementation; 5 Evaluation; 5.1 Experiments with Facebook Users; 5.2 Variations on Example Scenarios; 6 Discussion; 6.1 Related Work; 6.2 Limitations and Future Developments; References; Application Framework with Abstractions for Protocol and Agent Role; Abstract; 1 Introduction; 2 Agent Model; 3 Framework Overview; 4 Application Framework: Agent System; 5 Application Framework: Utility System; 6 Test System; 7 Evaluation; 8 Discussion; 9 Related Work
10 SummaryAcknowledgments; References; A Namespace Approach for Modularity in BDI Programming Languages; 1 Introduction; 2 Related Work; 3 Modules and Namespaces; 3.1 Syntax; 3.2 Loading Modules; 4 Implementation; 5 Example; 6 Evaluation; 7 Discussion; 7.1 Module Relationships; 8 Conclusion; References; ARGO: An Extended Jason Architecture that Facilitates Embedded Robotic Agents Programming; 1 Introduction; 2 Programming BDI Agents; 2.1 Jason; 2.2 Javino; 2.3 Embedding Robotic Agents; 3 Perception Filters; 3.1 Filtering Perceptions; 3.2 Perception Filters in Jason; 4 ARGO
In: Springer eBooksSummary: This book constitutes revised, selected, and invited papers from the 4th International Workshop on Engineering Multi-Agent Systems, EMAS 2016, held in Singapore, in May 2016, in conjunction with AAMAS. The 10 full papers presented in this volume were carefully reviewed and selected from 14 submissions. The book also contains 2 invited papers; extended versions of AAMAS 2016 demonstration abstracts. EMAS deals with MAS software engineering processes, methodologies and techniques; Programming languages for MAS; Formal methods and declarative technologies for the specification, validation and verification of MAS; and development tools.
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Includes author index.

Online resource; title from PDF title page (SpringerLink, viewed December 22, 2016).

This book constitutes revised, selected, and invited papers from the 4th International Workshop on Engineering Multi-Agent Systems, EMAS 2016, held in Singapore, in May 2016, in conjunction with AAMAS. The 10 full papers presented in this volume were carefully reviewed and selected from 14 submissions. The book also contains 2 invited papers; extended versions of AAMAS 2016 demonstration abstracts. EMAS deals with MAS software engineering processes, methodologies and techniques; Programming languages for MAS; Formal methods and declarative technologies for the specification, validation and verification of MAS; and development tools.

Intro; Preface; Organization; Contents; nDrites: Enabling Laboratory Resource Multi-agent Systems; 1 Introduction; 2 Previous Work; 3 The Laboratory Resource Multi-agent System (LR-MAS) Framework; 3.1 The Laboratory Resources Multi Agent System Model; 3.2 nDrites; 4 The Laboratory Resource Multi Agent System Implementation; 4.1 Communications; 4.2 Sending Messages to nDrites; 4.3 Sending Messages to Agents; 4.4 Definition of LR-MAS Agents; 5 The Analytical Monitoring Case Study; 6 The Instrument Failure Prediction Case Study; 7 Conclusions; References

Towards Data- and Norm-Aware Multiagent Systems1 Introduction; 2 Meyer's Forces: Processor, Action and Object; 3 From Functional Decomposition to MAS; 4 Need of Data and Norm Awareness; 5 Steps Towards Data and Norm Awareness; 6 Final Remarks; References; Monitoring Patients with Hypoglycemia Using Self-adaptive Protocol-Driven Agents: A Case Study; 1 Introduction and Motivation; 2 Related Work; 3 Self-adaptive Protocol-Driven Agents; 4 Modeling Medical Protocols for Hypoglycemia in the Newborns; 5 Conclusions and Future Work; References

Using Automatic Failure Detection for Cognitive Agents in Eclipse (AAMAS 2016 DEMONSTRATION)1 Introduction; 2 Automated Testing of Cognitive Agents; 2.1 Modules as Basic Unit for Testing; 2.2 Test Language; 2.3 Test Templates; 2.4 Test Approach; 2.5 Debugging, Testing, and Fault Localisation; 3 Debugging a Multi-agent System; 3.1 Stepping an Agent; 3.2 User-Defined Breakpoints; 3.3 User-Selectable Breakpoints; 3.4 State Inspection; 3.5 Interactive Console; 3.6 Watch Expressions; 3.7 Logging; 4 Testing GOAL Agents in the Eclipse IDE; 5 Evaluation; 6 Conclusion; References

PriGuardTool: A Web-Based Tool to Detect Privacy Violations Semantically1 Introduction; 2 Background: PriGuard Approach; 3 PriGuardTool; 4 Implementation; 5 Evaluation; 5.1 Experiments with Facebook Users; 5.2 Variations on Example Scenarios; 6 Discussion; 6.1 Related Work; 6.2 Limitations and Future Developments; References; Application Framework with Abstractions for Protocol and Agent Role; Abstract; 1 Introduction; 2 Agent Model; 3 Framework Overview; 4 Application Framework: Agent System; 5 Application Framework: Utility System; 6 Test System; 7 Evaluation; 8 Discussion; 9 Related Work

10 SummaryAcknowledgments; References; A Namespace Approach for Modularity in BDI Programming Languages; 1 Introduction; 2 Related Work; 3 Modules and Namespaces; 3.1 Syntax; 3.2 Loading Modules; 4 Implementation; 5 Example; 6 Evaluation; 7 Discussion; 7.1 Module Relationships; 8 Conclusion; References; ARGO: An Extended Jason Architecture that Facilitates Embedded Robotic Agents Programming; 1 Introduction; 2 Programming BDI Agents; 2.1 Jason; 2.2 Javino; 2.3 Embedding Robotic Agents; 3 Perception Filters; 3.1 Filtering Perceptions; 3.2 Perception Filters in Jason; 4 ARGO

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