Multi-Agent-Based Simulation XXII

Name: Multi-Agent-Based Simulation XXII | 22nd International Workshop, MABS 2021, Virtual Event, May 3-7, 2021, Revised Selected Papers
Brand: Springer
Price: 58.84 EUR
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22nd International Workshop, MABS 2021, Virtual Event, May 3-7, 2021, Revised Selected Papers

Koen H. van Dam Nicolas Verstaevel(Herausgeber*in)

Springer (Verlag)

Erschienen am 15. Januar 2022

VIII, 195 Seiten

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978-3-030-94548-0 (ISBN)

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Beschreibung

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Inhalt

Intro
Preface
Organization
Contents
Social Simulation for Non-hackers
1 Introduction
2 The SCAMP Architecture
3 Group Definitions
4 Causal Event Graph
5 Geospatial Context
6 Hierarchical Goal Networks
7 Agent Changes
8 SCAMP's Data
9 Discussion and Next Steps
References
Using Causal Discovery to Design Agent-Based Models
1 Introduction
2 Related Work
3 Methodology
4 Case Study
5 Discussion and Conclusion
References
Multi-level Adaptation of Distributed Decision-Making Agents in Complex Task Environments
1 Introduction
2 Model
3 Results
4 Discussion
5 Conclusion
References
Fast Agent-Based Simulation Framework with Applications to Reinforcement Learning and the Study of Trading Latency Effects
1 Motivation
2 Related Work
3 Architecture
4 Example Case Study - Processing Delay in Market Dynamics
4.1 The Model
4.2 Findings
5 Example Use Case - Market-Based Coordination of Learning Agents
6 A Performance Comparison
7 Conclusions
References
On the Same Wavelengths: Emergence of Multiple Synchronies Among Multiple Agents
1 Introduction
2 Psychological Background
2.1 General Psychological Mechanisms Used to Design the Agent Models
2.2 Emerging Synchrony Among Individuals
3 The Two-Agent Model
3.1 General Approach of Agent Modeling
3.2 Conceptual Representations for the Agent Model
3.3 Numerical Representations for the Agent Model
4 Simulation Method for the Agents
5 Analysis of the Two-Agent Model: Main Simulation
6 Discussion
References
Multi-agent Simulation for AI Behaviour Discovery in Operations Research
1 Introduction
2 System Overview
3 Case Study: Aerial Manoeuvring Domain
4 Evaluation
4.1 Multi-agent-Based-Simulation Architecture Limitations
4.2 User Evaluation
4.3 Research Applications
5 Conclusions
References
Using Agent-Based Modelling to Understand Advantageous Behaviours Against COVID-19 Transmission in the Built Environment
1 Introduction
2 Model
2.1 Overview of the Model
2.2 Description of the Model Entities
2.3 Description of the Model Processes
2.4 Virus Propagation - Risk Prediction
2.5 Parameters
2.6 Outputs
3 Results
3.1 Stochasticity Sensitivity Analysis
3.2 Use Cases: University of Guadalajara (UdeG) and MIT Media Lab
3.3 Analysis of the Virus Transmission Without Intervention
3.4 Comparison of Different Combinations of Interventions
4 Conclusion and Perspective
References
Quantifying the Effects of Norms on COVID-19 Cases Using an Agent-Based Simulation
1 Introduction
2 Simulation Design
2.1 Data Sets Used in the Simulation
2.2 Agents Activities and Deliberations
2.3 Reasoning with Norms
2.4 Environment Design
3 Calibration
4 Quantifying the Effects of Normative Interventions
5 Conclusion
References
MAS Network: Surrogate Neural Network for Multi-agent Simulation
1 Introduction
2 Framework Definition
2.1 Multi-agent Simulation
2.2 Coarse-Graining as System Dynamics
2.3 MAS Network
3 Implementation
3.1 Neural Network Architecture
3.2 Loss Function and Optimization Procedure
3.3 Input and Output Representations
4 Experimental Setup
4.1 Simulation Model
4.2 Dataset Design
5 Results
6 Conclusion
References
Real-Time Inference of Urban Metrics Applying Machine Learning to an Agent-Based Model Coupling Mobility Mode and Housing Choice
1 Introduction
2 Background
2.1 Mobility Mode and Housing Choice ABM
2.2 Related Work
3 Architecture of the Suggested Methodology
3.1 Batch Experiments. Generation of What-If Scenarios
3.2 Data Ingestion and Arrangement
3.3 Design of the Surrogate Model
3.4 Real-Time ABM Description
4 Discussion and Conclusion
References
Changing Perspectives: Adaptable Interpretations of Norms for Agents
1 Introduction
2 Example
3 Adaptable Interpretations of Norms - Foundations
3.1 Perspectives
3.2 Perspectives, Values, and Goals
3.3 Perspectives and Social Affordances
4 Using Perspectives with Adaptable Interpretations of Norms
4.1 User Level
4.2 System Level
4.3 Agent Level
5 Preliminary Exploration
6 Conclusion
References
Exploration of Model Coupling Strategies in a Hybrid Agent-Based Traffic Simulation
1 Introduction
2 Related Work
3 Methodology
3.1 Traffic Models
3.2 Implementation and Coupling Strategy
4 Experiment and Results
4.1 Experiment Design
4.2 Results
5 Conclusion
References
The Recruitment Game: An Agent-Based Simulation
1 Introduction
2 The Model
2.1 Structure, Initial Settings, Parametrization
2.2 Recruitment Game
2.3 Parametrization and Model Initialization
3 Results
3.1 Global Sensitivity Analysis
3.2 Experimental Design
3.3 Experiment Results
3.4 Calibration and Identification Approach
4 Conclusions
References
Fishing Together?
1 Introduction
2 Models of Individual and Social Decision-Making and Behaviour
3 Empirical Exploration on Togetherness
3.1 Inspiration and Reflections on Togetherness of Thai Fishers Participating in Behavioural Experiments
4 Formalising Fishing Together
4.1 AgentEx+Collective|A Conceptual Model
5 Discussion and Conclusion
References
Author Index

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