
Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection
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The 27 regular and 13 short papers presented in this volume were carefully reviewed and selected from 56 submissions. They deal with the application and validation of agent-based models, methods, and technologies in a number of key applications areas, including: advanced models and learning, agent-based programming, decision-making, education and social interactions, formal and theoretic models, health and safety, mobility and the city, swarms and task allocation.
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Content
- Intro
- Preface
- Organization
- Contents
- Multi-agent Techniques to Solve a Real-World Warehouse Problem
- 1 Introduction
- 2 Problem Definition
- 3 Related Work
- 4 Proposed Solution
- 5 Experimental Setup
- 6 Evaluation
- 7 Conclusion
- References
- Towards Quantum-Secure Authentication and Key Agreement via Abstract Multi-Agent Interaction
- 1 Introduction
- 2 Related Work
- 3 Authentication via Multi-agent Interaction
- 4 Authentication via Hypothesis Testing
- 5 Protocol Security
- 6 Empirical Study: Authentication
- 6.1 Authentication Empirical Set-Up
- 6.2 Authentication Empirical Results
- 7 Optimizing Server Actions
- 8 Empirical Study: Optimized Probing
- 9 Conclusion and Future Work
- References
- HAIL: Modular Agent-Based Pedestrian Imitation Learning
- 1 Introduction
- 2 Related Work
- 2.1 Pedestrian Agent Engineering
- 2.2 Imitation of Pedestrians in Simulated Environment
- 3 HAIL Framework
- 3.1 Overview
- 3.2 Integration
- 3.3 AJAN Extensions
- 4 Application Example
- 4.1 Scenarios Description
- 4.2 Agent Model
- 4.3 Imitation Model
- 4.4 Experimental Evaluation
- 5 Conclusion
- References
- Towards Collaborative Creativity in Persuasive Multi-agent Systems
- 1 Introduction
- 2 Challenges
- 3 Opportunities and Building Blocks
- 4 Application Scenarios
- 5 Road-Map
- References
- Automated Planning and BDI Agents: A Case Study
- 1 Introduction
- 2 Related Work
- 3 Multi-Agent Programming Contest: Agents Assemble
- 4 Automated Planning and BDI Agents
- 4.1 Local Vision Planning
- 4.2 Plan Cache
- 5 Discussion
- 6 Conclusion
- References
- Auction Mechanisms for Management of Steam Generated by High Temperature Reactors
- 1 Introduction
- 2 System Overview and Agentification
- 3 Short-Term Auction Mechanisms
- 3.1 Prediction of Aggregated Supply and Demand
- 3.2 Algorithm for the First Auction Phase
- 3.3 Algorithm for the Second Auction Phase and Delivery Protocol
- 4 Implementation and Illustrative Scenario
- 5 Related Work
- 6 Conclusion and Perspectives
- References
- Dial4JaCa - A Communication Interface Between Multi-agent Systems and Chatbots
- 1 Introduction
- 2 Dial4JaCa - A Communication Interface Between Multi-agent Systems and Chatbots
- 3 Proof of Concept
- 3.1 Collaborative Environment
- 3.2 Bed Allocation
- 4 Related Work
- 5 Conclusion and Future Work
- References
- Are Exploration-Based Strategies of Interest for Repeated Stochastic Coalitional Games?
- 1 Introduction
- 2 State of the Art
- 2.1 Coalition Formation
- 2.2 Stochastic Characteristic Functions
- 2.3 Repeated Coalitional Games
- 3 A General Model of Repeated Stochastic Coalitional Game
- 3.1 Game and Solution
- 3.2 Coalition Formation Process
- 3.3 Estimating the Characteristic Function
- 3.4 Decision Strategies
- 4 Experimentations
- 4.1 Experimental Protocol
- 4.2 Performance Measure
- 4.3 Results
- 5 Conclusion
- References
- Typologies of Persuasive Strategies and Content: A Formalization Using Argumentation
- 1 Introduction
- 2 Methodology
- 2.1 Persuasive Content and Strategies (Phases 1 and 2)
- 2.2 Agent Design Background (Phase 3)
- 3 Results
- 3.1 Persuasive Content Typology and Strategies
- 3.2 Formal Framework for Content and Strategy Selection
- 3.3 Experimentation
- 4 Conclusions
- References
- A Practical Application of Market-Based Mechanisms for Allocating Harvesting Tasks
- 1 Introduction
- 2 Background
- 3 Methodology
- 3.1 Agents
- 3.2 Task Allocation Mechanisms
- 3.3 Allocation of Picking Tasks
- 3.4 Allocation of Transport Tasks
- 4 Experiments
- 5 Results
- 5.1 Workforce Composition
- 5.2 Transport Task Allocation Mode
- 5.3 Cost of Waiting
- 6 Discussion, Conclusions and Future Work
- References
- A Multi-agent Approach for Evacuation Support in Mountainous Areas Using UAV
- 1 Introduction
- 2 Background
- 2.1 Evacuation Route Guidance System
- 2.2 Priority in Coastal Areas
- 3 Evacuation Support System
- 3.1 UAV1: UAV for Movement Among Area Points
- 3.2 UAV2: UAV Searching for Evacuees
- 4 Experiments
- 5 Conclusion and Future Work
- References
- A Simple Agent Based Modeling Tool for Plastic and Debris Tracking in Oceans
- 1 Introduction
- 2 Related Work
- 3 Input Data
- 4 Model Implementation
- 4.1 Simulation of Plastic Movement
- 5 Model Validation
- 6 Discussions and Future Work
- References
- Multi-agent CHANS: BDI Farmer Intentions and Decision Making
- 1 Introduction
- 2 Social Simulation and BDI Architectures
- 3 Multi-agent Farmer Interaction Model
- 3.1 General Vision of MAS
- 3.2 Farmer Interactions
- 4 Farmer's BDI Goal Model
- 5 Decision-Making Model
- 5.1 Modulating Variables
- 5.2 Decision Making with Fuzzy Logic
- 6 Results
- 7 Conclusions
- References
- Modelling Individual Preferences to Study and Predict Effects of Traffic Policies
- 1 Introduction and Motivation
- 2 Related Work
- 3 Gaps and Limitations in the Modelling of Individuals
- 4 Modelling Individuals with AGADE Traffic
- 5 Proof-of-Concept
- 6 Conclusion and Future Work
- References
- Dynamical Perceptual-Motor Primitives for Better Deep Reinforcement Learning Agents
- 1 Introduction
- 2 Modeling Perceptual-Motor Behaviors
- 2.1 Dynamical Perceptual-Motor Primitives in Individual Behavior
- 2.2 DPMPs in Multiagent Tasks
- 2.3 Use of Deep Reinforcement Learning (DRL) in Conjunction with DPMPs
- 3 The Herding Problem
- 3.1 Modeling Human Behavior Using DPMPs
- 3.2 Target Selection (Decision Dynamics)
- 3.3 Hybrid DRL Agents for Herding
- 4 Simulation Experiments
- 4.1 Task Environment
- 4.2 DRL Models and Training
- 4.3 Comparison Between Modeling Methodologies
- 5 Discussion
- References
- Inference of the Intentions of Unknown Agents in a Theory of Mind Setting
- 1 Introduction
- 2 Background and Related Work
- 3 Method
- 3.1 Maximization of Rationality
- 3.2 E-M Importance Sampling
- 3.3 Training Algorithm
- 4 Implementation in PDDL
- 5 Experiments
- 6 Discussion
- 7 Conclusions
- References
- SMASH: A Semantic-Enabled Multi-agent Approach for Self-adaptation of Human-Centered IoT
- 1 Introduction
- 2 Literature Review
- 3 The Proposed Architecture
- 3.1 Value-Reasoning Layer
- 3.2 Goal-Reasoning Layer
- 3.3 Planning Layer
- 3.4 Acting Layer
- 4 Proof of Concept
- 4.1 Scenario
- 4.2 Technical Overview
- 4.3 Discussion and Validation
- 5 Related Work
- 6 Conclusion
- References
- Agent-Based Modelling and Simulation of Airport Terminal Operations Under COVID-19-Related Restrictions
- 1 Introduction
- 2 Related Work
- 3 The Agent-Based Model
- 3.1 Specification of the Environment, and the Agents
- 3.2 Specification of the Interactions Between Passenger Agents
- 4 Case Studies
- 4.1 Case Study 1: Check-In
- 4.2 Case Study 2: Security Check Point
- 4.3 Case Study 3: Boarding
- 5 Discussion and Conclusion
- References
- Semantic Services Catalog for Multiagent Systems Society
- 1 Introduction
- 2 Background
- 2.1 Semantic Service Discovery
- 2.2 Semantic Service Description
- 3 Semantic Services Catalog
- 4 Case Study
- 5 Conclusions
- References
- Fully Decentralized Planner-Guided Robot Swarms
- 1 Introduction
- 2 Previous Work
- 3 Method
- 3.1 Definitions
- 3.2 Decentralized Plan Monitoring
- 3.3 Dynamic Task Switching
- 3.4 Agent-Initiated Replanning
- 4 Experiments
- 4.1 Letters: Runtime-Decentralized Planning, Coordination, and Monitoring
- 4.2 Refineries: Dynamic Task Switching in Response to Group Failure
- 4.3 Smart Sorting: Self-initiated Replanning to Handle Changed Situation
- 5 Conclusions and Future Work
- 6 Appendix: PDDL Files
- References
- Winning at Any Cost - Infringing the Cartel Prohibition with Reinforcement Learning
- 1 Introduction
- 2 Related Work
- 2.1 Infringing the Cartel Prohibition
- 2.2 Multi Agent Reinforcement Learning
- 3 Methodology
- 3.1 Problem Definition
- 3.2 Approach
- 3.3 Implementation
- 4 Results
- 4.1 Collusion Between All Agents
- 4.2 Collusion Between Two Agents
- 5 Discussion
- 6 Limitations and Outlook
- References
- Swarm of Satellites: Implementation and Experimental Study of Multi-Agent Solution for Adaptive Scheduling of Large-Scale Space Observation Systems
- 1 Introduction
- 2 The Problem of Planning Space Observation Systems
- 2.1 Model
- 2.2 Problem Statement
- 3 State of the Art Review
- 4 Adaptive Planning Method
- 4.1 Conflict-Free Planning
- 4.2 Proactive Planning
- 5 Software Implementation and Experimental Studies
- 5.1 Investigation of the Method's Performance and Ability to Adapt the Schedule
- 5.2 Comparison with Centralized Scheduling Algorithms
- 6 Conclusion
- References
- Towards an Online Agent Based Collision Avoidance by Mobile Edge Computing
- 1 Introduction
- 2 Related Work
- 3 System Architecture
- 3.1 Base Station Artifact
- 3.2 Vehicle Agent
- 3.3 MEC Agent
- 4 Experimentation
- 4.1 Time Lag of 5G for Vehicle-MEC Interaction
- 4.2 The Added Value of In-Memory Preprocessing
- 5 Conclusion and Future Works
- References
- Formal Specification of Fault-Tolerant Multi-agent Systems
- 1 Introduction
- 2 Fault Tolerant MAS
- 2.1 Fault Tolerance
- 2.2 Fault Tolerant MAS
- 3 Formal Specification in Event B
- 4 Specification of Fault Tolerant MAS in Event-B
- 5 Related Work
- 6 Conclusion
- References
- Integrating Valence and Arousal Within an Agent-Based Model of Emotion Contagion
- 1 Introduction
- 2 Methods
- 2.1 Emotion Contagion in the ASCRIBE Model
- 2.2 The Proposed Model
- 3 Results
- 3.1 Contagion in a Multi-emotion Environment
- 3.2 Attention Bias Towards Emotional Salient Stimuli
- 4 Discussion
- Appendix
- References
- Towards a Versatile Intelligent Conversational Agent as Personal Assistant for Migrants
- 1 Introduction
- 2 Design of the MyWelcome Agent
- 3 Knowledge and Data Models and Agent Services
- 3.1 Knowledge and Data Models of the MyWelcome Agent
- 3.2 Agent Interaction Services and Dialogue Management
- 4 Language Technology Services
- 5 Conclusions and Ongoing Work
- References
- Comparing Thread Migration, Mobile Agents, and ABM Simulators in Distributed Data Analysis
- 1 Introduction
- 2 Migration of Execution Entities over Memory
- 2.1 Thread Migration
- 2.2 Mobile Agents
- 2.3 ABM Simulators
- 2.4 MASS Java
- 3 Parallelization of Benchmark Programs
- 3.1 2D Contiguous Space Problem: Closet Pair of Points
- 3.2 Graph Problem: Triangle Counting
- 4 System Comparisons
- 4.1 Programmability
- 4.2 Execution Performance
- 5 Conclusions
- References
- Demonstrating Exception Handling in JaCaMo
- 1 Introduction
- 2 Main Purpose
- 3 Demonstration
- 4 Conclusions
- References
- Dial4JaCa - A Demonstration
- 1 Introduction
- 2 Main Purpose
- 3 Demonstration
- 4 Conclusions
- References
- Experiments on User-Centered Control of Lights in Open-Plan Office Spaces Using IoT Devices and Distributed Constraint Optimization
- 1 Introduction
- 2 Our Approach to Solve the Problem
- 3 Demonstration Scenario
- 4 Implementation
- 5 Summary and Outlook
- References
- A DBDN with the MAS Ellipsis
- 1 Introduction
- 2 Main Purpose
- 3 Demonstration
- 4 Conclusions
- References
- Demo Paper: A Tool for Analyzing COVID-19-Related Measurements Using Agent-Based Support Simulator for Airport Terminal Operations
- 1 Introduction
- 2 Main Purpose
- 3 Demonstration
- 4 Conclusion
- 1. References
- Using AGADE Traffic to Analyse Purpose-Driven Travel Behaviour
- 1 Introduction
- 2 Main Purpose
- 3 Demonstration
- 4 Conclusion
- References
- re:Mobidyc - Reconstructing MOdeling Based on Individual for the DYnamics of Community
- 1 Introduction
- 2 Main Purpose
- 3 Demonstration
- 3.1 Modeling Language
- 3.2 Memory Model
- 4 Conclusions
- References
- Mobile Device Approach for the Measurement of Jump Flight Time
- 1 Introduction
- 2 Main Purpose
- 3 Demonstration
- 4 Conclusion
- References
- Nego-Bot: A Human-Robot Negotiation System
- 1 Introduction
- 2 Robot Trading Assistant
- 3 Conclusions and Future Work
- References
- Fully Decentralized Planner-Guided Robot Swarm Demonstration
- 1 Introduction
- 2 Main Purpose
- 3 Demonstration
- 4 Conclusion
- References
- An Agent-Based Game Engine Layer for Interactive Fiction
- 1 Introduction
- 2 Main Purpose
- 3 Demonstration
- 3.1 Chatbot Agents
- 3.2 Autonomous (Background) Agents
- 3.3 Expert Systems
- 3.4 Generating Content
- 4 Conclusion
- References
- Sim-Env: Decoupling OpenAI Gym Environments from Simulation Models
- 1 Introduction
- 2 Main Purpose
- 3 Demonstration
- 4 Conclusions
- References
- SIMALL Demonstration: Emotional BDI Simulation of a Mall
- 1 Introduction
- 2 Main Purpose
- 3 Demonstration
- 4 Conclusions
- References
- Author Index
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