ENGLISH

Engineering Multi-Agent Systems: 8th International Workshop, EMAS 2020, Auckland, New Zealand, May 8–9, 2020, Revised Selected Papers

Book information

Publisher
Springer
Year
2021
ISBN
303066533X, 9783030665333
Language
english
Format
PDF
Filesize
9 MB (9121899 bytes)
Series
Lecture Notes in Computer Science, 12589
Pages
162\163
Time added
2023-05-29 21:55:38

Description

This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Workshop on Engineering Multi-Agent Systems, EMAS 2020, held in Auckland, New Zealand, in May 2020. Due to the COVID-19 pandemic the conference was held virtually. The 10 revised full papers presented in this book were carefully selected and reviewed from 16 submissions. The papers cover a broad range of topics in the domains of agent-oriented software engineering, programming multi-agent systems, declarative agent languages and technologies, artificial intelligence, and machine learning. Preface Organization Contents Delivering Multi-agent MicroServices Using CArtAgO 1 Introduction 2 Related Work 3 Multi-agent Micro-Services 3.1 Basic MAMS Model 3.2 Extending MAMS with HAL 4 An Artifact-Based Framework for Building MAMS Agents 4.1 Implementing Virtual Resources as Artifacts 4.2 Passive Resource Management 4.3 Active Resource Management 4.4 FIPA-ACL Based Interaction 5 Integration with ASTRA 6 Illustration 7 Discussion 8 Conclusions References Aplib: Tactical Agents for Testing Computer Games 1 Introduction 2 Testing Task 3 Aplib Agency 3.1 Agent, Belief, and Goal 3.2 Action (Elementary Tactic) 4 Structured Goals and Tactics 4.1 Tactic 4.2 Aplib Deliberation Cycle 4.3 Test Robustness 5 Proof of Concept 6 Related Work 7 Conclusion and Future Work References Exploiting Simulation for MAS Development and Execution—The JaCaMo-Sim Approach 1 Introduction 2 Related Works 3 The Approach 3.1 Execution Contexts, Events and Activities 3.2 The Simulation Loop 3.3 The Time Assignment Function 4 First Implementation 5 The Tool at Work 6 The Road Ahead A Events and Activities References Fragility and Robustness in Multiagent Systems 1 Introduction 2 Fragility in Distributed Systems and MAS 3 Robustness Through Accountability 3.1 Exemplification in JaCaMo 4 Related Works 5 Conclusions References Fault Tolerance in Multiagent Systems 1 Introduction 2 Basic Fault Handling with Information Protocols 2.1 Message Reordering 2.2 Message Duplication 2.3 Message Corruption 2.4 Message Loss 3 Internal Faults 3.1 Crash During Stateless Policy 3.2 Crash During Stateful Policy 4 External Faults 4.1 Retry Policies 4.2 Role Replacement 5 Conclusion References Multi-agent Control of Industrial Robot Vacuum Cleaners 1 Introduction 2 The RoboClean Architecture 2.1 Food Production Facility 2.2 Multi-agent System 2.3 Neato API 3 RoboClean Prototype 3.1 Simulator 3.2 Simulator Interface 3.3 Multi-agent System Implementation Prototype 3.4 Example 4 Discussion References Orthos: A Trustworthy AI Framework for Data Acquisition 1 Introduction 2 Background 3 Spontaneous Localized Settings 3.1 Essential Characteristics for Spontaneous Localized Settings 3.2 Information Elicitation Mechanisms 3.3 Robust Peer Truth Serum for Crowdsourcing 4 Implementing Decentralized Data Acquisition Mechanisms 5 Orthos 5.1 Location Proofs in Spontaneous Localized Settings 5.2 Orthos Protocol 6 Performance Evaluation 7 Design Tradeoffs 8 Conclusion References Simulating Vehicular IoT Applications by Combining a Multi-agent System and Big Data 1 Introduction 2 Motivation 2.1 Use Case: Map-Generation Data Collection 2.2 Requirements 3 Simulation by Combining a Multi-agent System with Vehicular IoT Big Data 3.1 Proposed Simulation Technique 3.2 The FlowSim Framework 4 Case Study: Map-Gen Data Collection Simulation 4.1 Evaluation Environment 4.2 Evaluation with Map-Gen Data Collection 5 Related Work 6 Conclusions and Future Work References Accept a Challenge: The Multi-Agent Programming Contest 1 Introduction 2 Related Work 3 Running the Contest 3.1 Setup 3.2 Alternatives 4 The Multi-Agent Programming Contest 2019 4.1 Scenario 4.2 Participants and Their Approaches 5 Contestants and Their Agents 5.1 Technologies 5.2 Survey 6 Lessons Learned 7 What Is Next References The Intention Progression Competition 1 Introduction 2 Goal-Plan Trees 2.1 Synthetic Domain 2.2 `Real World' Domains 3 Software Architecture 3.1 Environment Simulator 3.2 BDI Interface 3.3 IPP Solver 4 The 2020 Intention Progression Competition References Author Index

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