Multi-Agent-Based Simulation XXIII: 23rd International Workshop, MABS 2022, Virtual Event, May 8–9, 2022, Revised Selected Papers (Lecture Notes in Computer Science, 13743)

✍ Scribed by Fabian Lorig (editor), Emma Norling (editor)

• Publisher: Springer
• Year: 2023
• Tongue: English
• Leaves: 157
• Category: Library

✦ Synopsis

This book constitutes the thoroughly refereed and revised selected papers from the 22nd International Workshop on Multi-Agent-Based Simulation, MABS 2022, which took place virtually during May 8–9, 2022. The conference was originally planned to take place in Auckland, New Zealand, but had to change to an online format due to the COVID-19 pandemic.
The 11 papers included in these proceedings were carefully reviewed and selected from 17 submissions. They focus on finding efficient solutions to model complex social systems, in areas such as economics, management, organisational and social sciences in general.

✦ Table of Contents

Preface
Organization
Contents
Land Use Management Using Multi-Agent Based Simulation in a Watershed in South of the Brazil
1 Introduction
2 Methodology
2.1 Study Area
2.2 GAMA Platform
2.3 MABS Development
3 Results and Discussion
4 Conclusion
References
Replacing Method for Multi-Agent Crowd Simulation by Convolutional Neural Network
1 Introduction
2 Related Work
3 Problem Setting
4 Proposed Method
4.1 Conversion to 3d-Tensor
4.2 Estimation by Using CNNs
5 Experiment
5.1 Evacuation Simulation
5.2 Dataset Setting
5.3 Conversion to 3d-Tensor
5.4 Estimation Using CNNs
6 Result
7 Conclusion
References
An Agent-Based Model of Horizontal Mergers
1 Introduction
2 The Analytical Model
2.1 Bertrand Competition with Differentiated Products
2.2 Cournot Competition with Differentiated Products
3 The Agent-Based Model
3.1 Model Implementation and Parameters
4 Results
4.1 Results from Cournot Competition with Differentiated Products
5 Concluding Remarks and Future Extensions
References
The Influence of National Culture on Evacuation Response Behaviour and Time: An Agent-Based Approach
1 Introduction
2 Methods
2.1 Case Study Contextualisation
2.2 Questionnaire Results Used for Model Input and Agent Behaviours
2.3 Agent-Based Evacuation Model Including National Cultures
2.4 Model Validation
3 Results
3.1 Effects of Culture on Response and Total Evacuation Time
3.2 Effect of Cues, Setting and Affiliation on Response and Total Evacuation Time
4 Discussion and Conclusion
References
Simulating Work Teams Using MBTI Agents
1 Introduction
2 MBTI and High Performance Teams
3 Using an Agent-Based Approach to Simulate Work Teams
3.1 BDI Model Proposal
3.2 The Seller-Buyer Model
3.3 Agent Decision Attributes
3.4 Market Types
3.5 Work Teams
3.6 Hypotheses
4 Methods and Results
4.1 Environment Setup
4.2 Experiments
4.3 Obtained Results
5 Discussion
References
Reconsidering an Agent-Based Model of Food Web Evolution
1 Introduction
2 Food Webs and Their Evolution
2.1 Patterns Observed in Real-World Food Webs
2.2 Population Dynamics
3 Reimplementation of the Previous Agent-Based Model
3.1 Results from This Model
4 Enhancements to the Model
4.1 Geographic ``niches''
4.2 Adding Heterogeneous Behaviour
5 Discussion and Future Work
References
Surrogate Modeling of Agent-Based Airport Terminal Operations
1 Introduction
2 Related Work
3 Methodology
4 Results
5 Discussion and Conclusion
References
School's Out? Simulating Schooling Strategies During COVID-19
1 Introduction
2 Agent-Based Models in the Pandemic
3 The SoSAD Modeling Approach
3.1 Population and Infrastructure
3.2 Contacts and Contagion
3.3 Activities and Countermeasures
4 Simulating Three Schooling Strategies
5 Can We Keep Schools Open? Simulation Results
6 Discussion – Patterns in Different Experiment Setups
7 Conclusion – What only ABMs Can Show
References
Generating Explanatory Saliency Maps for Mixed Traffic Flow Using a Behaviour Cloning Model
1 Introduction
2 Related Work
2.1 Mixed Traffic Prediction Methods
2.2 Saliency Maps Extraction Methods
2.3 Multi-agent Perspective of Mixed Traffic Modelling
3 Method
4 Experimental Evaluation
5 Discussion
6 Conclusion
References
Challenges for Multi-Agent Based Agricultural Workforce Management
1 Introduction
2 Background
3 Approach
3.1 Modelling Workers
3.2 Team Creation
3.3 Simulating Teams
4 Experiments
5 Results
5.1 Historic Data
5.2 Live Data
6 Summary and Future Work
References
Agents Dealing with Norms and Regulations
1 Introduction
2 Elements of a Normative Agent Architecture
2.1 Norms
2.2 Needs
2.3 Goals and Values
2.4 Perspectives
2.5 Actions
2.6 Context
2.7 Plan Patterns
2.8 Norm Breaking
2.9 Resulting Agent Architecture
3 Related Work
3.1 BDI, its Extensions and Utility Functions
3.2 Social Reasoning
4 Discussion
References
Author Index