Advances in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection

Name: Advances in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection | 20th International Conference, PAAMS 2022, L'Aquila, Italy, July 13-15, 2022, Proceedings
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20th International Conference, PAAMS 2022, L'Aquila, Italy, July 13-15, 2022, Proceedings

Frank Dignum Philippe Mathieu Juan Manuel Corchado Fernando De la Prieta(Editor)

Springer (Publisher)

Published on 12. October 2022

XVI, 516 pages

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978-3-031-18192-4 (ISBN)

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Content

Intro
Preface
Organization
Contents
Main Track
An Open MAS/IoT-Based Architecture for Large-Scale V2G/G2V
1 Introduction
2 Background and Related Work
3 System Architecture
4 Agent Interactions
4.1 Implemented Agent Strategies
5 Experimental Evaluation
5.1 Simulating Algorithms and Mechanisms
6 Conclusions and Future Work
References
.26em plus .1em minus .1emInvestigating Effects of Centralized Learning Decentralized Execution on Team Coordination in the Level Based Foraging Environment as a Sequential Social Dilemma
1 Introduction
2 Background
2.1 Multi Agent Reinforcement Learning (MARL)
2.2 Sequential Social Dilemmas
2.3 Centralized Learning Decentralized Execution (CLDE)
3 Related Work
3.1 MARL Coordination in SSDs
3.2 Learning Algorithms
4 LBF as a SSD
5 Experimental Design
6 Results
7 Conclusion
References
Agent Based Digital Twin of Sorting Terminal to Improve Efficiency and Resiliency in Parcel Delivery
1 Introduction
2 Problem Statement
2.1 State of the Art Analysis Techniques
3 Approach
3.1 Agent Based Realization
3.2 Simulation-Led Experimentation Aid
4 Illustrative Case Study
5 Conclusion
References
Fully Distributed Cartesian Genetic Programming
1 Introduction
2 Distributed Cartesian Genetic Programming
3 Results
3.1 Regression
3.2 N-Parity
3.3 Classification
4 Conclusion
References
Data Synchronization in Distributed Simulation of Multi-Agent Systems
1 Introduction
2 Data Synchronization in Distributed MAS Simulations
3 Synchronization Modes
3.1 Read and Write Operations
3.2 Data Synchronization Interface
3.3 Specification of Proposed Modes
3.4 Properties
4 Experiments
4.1 Experimental Settings
4.2 Results
5 Conclusion
References
Co-Learning: Consensus-based Learning for Multi-Agent Systems
1 Introduction
2 Co-Learning Algorithm
2.1 Consensus-based Multi-Agent Systems
2.2 Algorithm Description
3 Validation of Co-Learning Algorithm
3.1 Convergence Analysis
3.2 Network Efficiency
3.3 Effect of Network Size
4 Execution Using SPADE Agents
4.1 Co-Learning in SPADE
4.2 Execution Example
5 Conclusions
References
Multiagent Pickup and Delivery for Capacitated Agents
1 Introduction
2 Related Work
3 Problem Description
4 Method
4.1 TPMT
4.2 TPMC
5 Evaluation
5.1 Case Studies
5.2 Experimental Setup
5.3 Results
6 Conclusion
References
Using Institutional Purposes to Enhance Openness of Multi-Agent Systems
1 Introduction
2 Artificial Institutions and Purposes
3 Implementing a Multi-agent System with and Without the Purpose Model
3.1 Implementation Without Institutions and Purposes
3.2 Implementation with Institutions and Purposes
4 Discussion About both Implementations
5 Conclusions and Future Work
References
Developing BDI-Based Robotic Systems with ROS2
1 Introduction
2 Background
3 A Multi-agent Robotic RT-BDI Architecture
3.1 Development Tool-Kit
4 Demonstration of the MA-RT-BDI Architecture
5 Related Work
6 Conclusions and Future Work
References
Combining Multiagent Reinforcement Learning and Search Method for Drone Delivery on a Non-grid Graph
1 Introduction
2 Model
2.1 Problem Definition
2.2 Formulate Problem as Dec-MDP
3 Related Work
3.1 Search Methods
3.2 Dynamic Programming Methods
4 Algorithm
4.1 The Search Module
4.2 The MARL Module
4.3 The Training Process
5 Evaluation
5.1 Evaluation Settings
5.2 Evaluation Results
6 Discussion
6.1 The MARL-SA Position in MAPF Solutions
6.2 Learning Agent Selection in MARL-SA
7 Conclusion
References
Hierarchical Collaborative Hyper-Parameter Tuning
1 Introduction
2 Methodology
2.1 Agent-Based Hyper-Parameter Tuning
2.2 Guided Randomized Agent-Based Tuning Algorithm
3 Results and Discussion
4 Conclusion
References
Towards the Combination of Model Checking and Runtime Verification on Multi-agent Systems
1 Introduction
2 Preliminaries
2.1 Models for Multi-agent Systems
2.2 Syntax
2.3 Semantics
2.4 Runtime Verification and Monitors
2.5 Negative and Positive Sub-models
3 Our Procedure
4 Our Tool
4.1 Experiments
5 Conclusions and Future Work
References
Explaining Semantic Reasoning Using Argumentation
1 Introduction
2 Background
2.1 Agent Oriented Programming Languages
2.2 Argumentation Schemes
2.3 OWL Ontologies
3 Scenario
4 Querying Ontologies
5 Translating SWRL Rules into Argumentation Schemes
5.1 Translating Arguments to Natural Language Explanations
6 Related Work and Conclusions
References
How to Solve a Classification Problem Using a Cooperative Tiling Multi-agent System?
1 Introduction
2 Related Work
2.1 Aggregation of Classifiers
2.2 Multi-agent Systems
3 Smapy
3.1 General Principle
3.2 Agents
3.3 Feedback
3.4 Non-cooperative Situations
4 Comparison of Linear Classifiers Alone with Context Learning Approach
4.1 Input Data
4.2 Experimental Protocol
5 Results
5.1 Classification Accuracy
5.2 Decision Boundaries
6 Discussion
7 Conclusion
References
Multi-agent Learning of Numerical Methods for Hyperbolic PDEs with Factored Dec-MDP
1 Introduction
2 Related Work
3 Background
3.1 Factored Dec-MDP
3.2 Hyperbolic PDEs and WENO Scheme
4 Problem Formulation and Analysis
4.1 Numerical Methods as Multi-agent Systems
4.2 Analysis of Different Reward Formulations
5 Experiment Results
5.1 Euler Equations and Training Setup
5.2 Results and Discussions
6 Conclusion
References
Multi-agent-based Structural Reconstruction of Dynamic Topologies for Urban Lighting
1 Introduction
2 Real-World and Simulated Environment
3 Objective and Methods
3.1 Agent Modelling and Formalisation
3.2 Local Neighborhood Discrimination
3.3 Evaluation Metrics
4 Results and Discussion
5 Conclusion
References
Control Your Virtual Agent in its Daily-activities for Long Periods
1 Introduction
2 Related Work
3 Agent Model Description
3.1 Global Model Structure
3.2 Agent Internal State
3.3 Decision-Making Model
3.4 Task Execution Model
4 Results
5 Conclusion
References
Multi-Agent Task Allocation Techniques for Harvest Team Formation
1 Introduction
2 Background
3 Approach
3.1 Problem Description
3.2 Solution Fitness
3.3 GA Approach
3.4 Auction Approach
4 Experiments
4.1 Data
4.2 Metrics
5 Results
5.1 Trade-off Between Staff Time and Execution Time
5.2 Comparison to Alternative Approaches
6 Summary and Future Work
References
Study of Heterogeneous User Behavior in Crowd Evacuation in Presence of Wheelchair Users
1 Introduction
2 Related Works
3 Our Proposed Agent-Based Panic Model Involving Wheelchair Users
3.1 Agent Attributes
3.2 Agent Model
3.3 Agent Behavior Logic
4 Experimental Setup
4.1 Agent Parameters
4.2 Environmental Parameters
4.3 Performance Metrics
5 Performance Evaluation and Results
5.1 Rate of Evacuation
5.2 Agent Attribute Distribution Versus Exit Time
5.3 Correlation Coefficient Trend
6 Conclusion and Future Works
References
Agent-Based Modelling and Simulation of Decision-Making in Flying Ad-Hoc Networks
1 Introduction
2 Motivation
2.1 System Overview
2.2 ConOps Agent Algorithm
3 Agent-Based Modelling and Simulation
3.1 Implementation and Usage
3.2 Evaluation Method
3.3 Evaluation Results
4 Conclusion
References
Deep RL Reward Function Design for Lane-Free Autonomous Driving
1 Introduction
2 Background and Related Work
2.1 Deep Deterministic Policy Gradient
2.2 Related Work
3 Our Approach
3.1 The Lane-Free Traffic Environment
3.2 State Representation
3.3 Action Space
3.4 Reward Function Design
4 Experimental Evaluation
4.1 RL Algorithm and Simulation Setup
4.2 Results and Analysis
5 Conclusions and Future Work
References
An Emotion-Inspired Anomaly Detection Approach for Cyber-Physical Systems Resilience
1 Introduction
2 Related Work
2.1 Resilience
2.2 Anomaly Detection for CPS Resilience
3 The Proposed Approach
4 Experiments
4.1 System Description
4.2 Measures of Resilience
4.3 Scenario Description
4.4 Results and Evaluation
5 Conclusions and Perspectives
References
Bundle Allocation with Conflicting Preferences Represented as Weighted Directed Acyclic Graphs
1 Introduction
2 Problem Model
3 Path Allocation Schemes
3.1 Utilitarian Allocation (util)
3.2 Leximin Allocation (lex)
3.3 Approximated Leximin Allocation (a-lex)
3.4 Greedy Allocation (greedy)
3.5 Round-Robin Allocations (p-rr and n-rr)
4 Experimental Evaluation
5 Conclusion
References
Shifting Reward Assignment for Learning Coordinated Behavior in Time-Limited Ordered Tasks
1 Introduction
2 Related Work
3 Problem Description
3.1 Agent and Environment
3.2 Task Structure
3.3 Time Limitation for Completing Each Task
4 Proposed Method
4.1 Shifting Two-Stage Reward Assignment
4.2 Modified Experience Replay
4.3 Structure of Network and Input Structure
5 Experimental Evaluation and Discussion
5.1 Experimental Setting
5.2 Performance Evaluation
5.3 Analysis of Cooperative Behaviors for Subsequent Agents
5.4 Discussion
6 Conclusion
References
Mitigating Fairness and Efficiency Tradeoff in Vehicle-Dispatch Problems
1 Introduction
2 Preliminaries
3 Proposed Algorithm: PA(k)
3.1 PA(k) Algorithm
3.2 Method of Dynamically Determining k
4 Experimental Results
4.1 Experimental Setup
4.2 Experimental Results
5 Conclusions
References
A Flexible Agent Architecture in SPADE
1 Introduction
2 Flexible Agent Architecture
2.1 Definition of the Architecture
2.2 Implementation in SPADE 3
3 Case Study
3.1 Interaction (FSM) Behavior
3.2 Deliberation (BDI) Behavior
4 Conclusions
References
Informative Communication of Robot Plans
1 Introduction
2 Background
3 Method
3.1 Informative Communication
4 Implementation in PDDL
5 Experiments
5.1 Tests on the PUCRS Dataset
6 User Study
7 Discussion
8 Conclusion
References
Improving the Connectivity of Multi-hop Communication Networks Through Auction-Based Multi-robot Task Allocation
1 Introduction
2 Related Work
3 Problem Formulation
4 Auction Protocol
5 Simulation Experiments
6 Conclusion
References
Optimal Inspection Trajectories for 3D Printed Objects
1 Introduction
2 Related Work
3 Inspection Settings
4 Inspection Path Computation
4.1 Mathematical Integer Programming Approach
4.2 Heuristic Approach with Spline Orientation
5 Results and Discussion
6 Conclusions and Future Work
References
Retrograde Behavior Mitigation in Planner-Guided Robot Swarms*-8pt
1 Introduction
2 Previous Work
3 Methods
3.1 Behavior Adjustment Method
3.2 Heartbeat Shutdown Method
3.3 Checkpoints and Heartbeats Method
4 Experiments
4.1 Construction: Reducing Slowdown Caused by Retrograde Behavior
4.2 Moonbase: Preventing Catastrophic Failure with Mitigations
4.3 Farming: Overcoming Probabilistic Failures in a Complex Multi-group Plan
5 Conclusions and Future Work
References
A Declarative Modelling Language for the Design of Complex Structured Agent-Based Epidemiological Models
1 Introduction
2 An Organizational Design Pattern for Multi-Level Agent-Based Systems
3 A DSL for Integrating Organizational Features into a Multi-Level Agent-Based System
3.1 Organization and Spaces
3.2 Recursive Application of the Pattern
4 Application: Spread of Swine Influenza A Virus in a Farrow-to-Finish Pig Farm
4.1 Batch Rearing Management
4.2 Implementation in OMLABS
4.3 Epidemiological Model
4.4 Results
5 Conclusion and Perspectives
References
Multi-Agent Routing Optimization for Underwater Monitoring
1 Introduction
2 Related Works
3 Problem Formulation
4 Mathematical Model
5 Basic Data and Methodology
6 Experimental Results
7 Conclusions
References
An Agent-Based Model of Emotion Contagion and Group Identification: A Case Study in the Field of Football Supporters
1 Introduction
2 Methods
2.1 The DECADE Model
2.2 Social Relationship
2.3 Emotion Decay
2.4 Perceived Threat
2.5 Decision Model
2.6 Analysis
2.7 Validation
3 Results
3.1 Spectator Composition
3.2 Seating Arrangement
3.3 Case Study: Nigeria - Ghana
4 Discussion
Appendix
References
Smart Contracts for the CloudAnchor Platform
1 Introduction
2 Background
2.1 Smart Contracts
2.2 Related Work
3 CloudAnchor
3.1 Service Level Agreements
3.2 Trust and Reputation Profiling
4 Proposed Solution
4.1 Architecture
4.2 Smart Contracts
5 Experiments and Results
5.1 Brokerage
5.2 Latency
6 Conclusion
References
Partial Swarm SLAM for Intelligent Navigation
1 Introduction
2 Motivation
3 Proposed Approach
3.1 Collision Avoidance
3.2 Formation Breaking and Path Finding Mode
3.3 Trace Back Utilizing Tracker Points
4 Simulation Results
5 Conclusion
References
Demonstrations
IRRMA: An Image Recommender Robot Meeting Assistant
1 Introduction
2 Main Purpose
3 Demonstration
4 Conclusion
References
Grouplanner: A Group Recommender System for Tourism with Multi-agent MicroServices
1 Introduction
2 Main Purpose
3 Demonstration
4 Conclusions
References
Microblogging Environment Simulator: An Ethical Approach
1 Introduction
2 System Architecture
3 Microblogging Environment Simulator
4 Conclusions and Future Work
References
Toward an Agent-Based Model of Community of Practice: Demonstration
1 Introduction
2 Agent-Based Model
3 Simulator
4 Discussion
References
A Demonstration of BDI-Based Robotic Systems with ROS2
1 Introduction
2 Main Purpose
3 Demonstration
4 Conclusions
References
Demonstrator of Decentralized Autonomous Organizations for Tax Credit's Tracking
1 Introduction: Tax Credit Stimulus in Italian Law
2 Main Purpose: DAOs for Tax Credit's Tracking
3 Demonstrator
4 Conclusions
References
Agents Assembly: Domain Specific Language for Agent Simulations
1 Introduction
2 Main Purpose
3 Demonstration
3.1 Agents Assembly - Key Concepts
3.2 Implementing AASM Ecosystem
3.3 Demonstrations
4 Concluding Remarks
References
Digital Twin Assisted Decision Making
1 Motivation
2 Our Solution
3 Demonstration
3.1 Prediction and Control of Covid19 Pandemic in a City
3.2 Helping Organizations Transition from Work-From-Home to Work-From-Office Mode
4 Conclusions
References
Intelligent Artificial Agent for Information Retrieval
1 Introduction
2 Background Research and Literature Review
2.1 Document Search
2.2 Document Embeddings
2.3 Incorporating Artificial Agents in IR
3 Methodology
3.1 Datasets
3.2 Document Search
3.3 Chat Component
4 Results and Evaluation
5 Conclusion and Future Work
References
From Research to Crisis Management: Multiagent Simulation for Local Governments
1 Introduction
2 Purpose of the AScore Pandemic Management Cockpit
3 From Research to Practice: Demonstration of AScore
3.1 AScore Architecture
3.2 Agent-Based Simulation Scenarios
3.3 Simulation Result Visualisation
4 Lessons Learned
References
Author Index

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Advances in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection

Description

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Other editions

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System requirements