Proceedings of the 2020 Conference of The Computational Social Science Society of the Americas

Contents
Editors and Contributors
Effects of Non-cognitive Factors on Post-Secondary Persistence of Deaf Students: An Agent-Based Modeling Approach
	1 Introduction
	2 Methodology
		2.1 SETUP Specifications
		2.2 RUN Specifications
	3 Results
	4 Conclusion
	References
Online Rejection Influence on Behavior Deviancy and Radicalization: An Agent-Based Model Approach
	1 Introduction
		1.1 Research Questions
		1.2 Hypothesis
	2 Related Work
	3 Method
		3.1 Model Parameters Definitions
		3.2 Model Setup
		3.3 Results
	4 Validation
	5 Discussion
	6 Conclusion
	References
Creating Intelligent Agents: Combining Agent-Based Modeling with Machine Learning
	1 Introduction
	2 Background
	3 Methodology
	4 Results
	5 Summary
	Appendix A: Examples of Utilizing Evolutionary Computing Within Agent-Based Models to Study Social Issues
	Appendix B: Examples of Utilizing Reinforcement Learning Within Agent-Based Models to Study Social Issues
	References
Analyzing Transnational Narratives in Twitter: An Unsupervised Approach Using PARAFAC
	1 Background
	2 Prior Literature
	3 Parafac
		3.1 How PARAFAC is Related to SVD
		3.2 Application of PARAFAC to Identify Transnational Narratives
	4 Demonstration and Results
		4.1 Dataset and Specific Application of PARAFAC
		4.2 Results: How PARAFAC Allows Exploration of the Data by Topic
	5 Conclusion
	References
Comparing Agent-Based Modeling to Cooperative Game Theory and Human Behavior
	1 Introduction
	2 Background
		2.1 Modeling Paradigms
	3 Methodology
		3.1 Gaming Scenarios
		3.2 Measurement
	4 Discussion on the Presentation of the Results
		4.1 Graphical Representation
	5 Preliminary Results
		5.1 Expected Outcomes
	6 Conclusions
	References
Purchasing Power to the People: An Agent-Based Simulation of Pandemic Economic Recovery
	1 Introduction
	2 Background
	3 Model
	4 Assumptions and Limitations
	5 Estimating COVID-19 Impact
	6 Results
	7 Policy Implications
	References
An Agent-Based Model to Evaluate the Perception of Safety in Informal Settlements
	1 Introduction
	2 Methodology
		2.1 (1)Safety Perception Metrics
		2.2 Conceptual Model Development
		2.3 Safety Perception Agent-Based Model
	3 Case Study: Lomas Del Centinela, Guadalajara (Mexico)
		3.1 Initialization
	4 Results and Discussion
		4.1 Validation
	5 Conclusion
	References
Agent-Based Models of Quadratic Voting
	1 Introduction and Research Questions
	2 QV with Variance in Percieved Marginal Pivotality (PMP)
		2.1 Agent-Based Model of QV
		2.2 Results
	3 Modified QV with Multiple Simultaneous Issues
		3.1 Agent-Based Model of mQV
		3.2 Results
	4 Discussion and Future Work
	References
CD-SEIZ: Cognition-Driven SEIZ Compartmental Model for the Prediction of Information Cascades on Twitter
	1 Introduction
	2 Methodology
		2.1 SIS Model
		2.2 SEIZ Model
		2.3 Proposed Framework (CD-SEIZ Model)
		2.4 Twitter Data and Cascade Formation
	3 Results
	4 Conclusion and Discussion
	References
In-Silico Models With Greater Fidelity to Social Processes: Towards ABM Platforms With Realistic Concurrency
	1 Introduction
	2 Social Processes: Ordering, Clocks and Timescales of Social Actors
	3 The SPEC Framework
	4 Towards a Concurrent ABM Framework
		4.1 Concurrency and Simulation Fidelity
		4.2 An Illustrative Case Study of Current Constraints in Existing Platforms
	5 SPEC-ABM: An Elixir-Based Concurrent ABM Platform
		5.1 Why Elixir?
		5.2 SPEC Agents
		5.3 Scheduling in SPEC-ABM
	6 Conclusions and Future Work
	References
An Agent-Based Model of Infectious Diseases that Incorporates the Role of Immune Cells and Antibodies
	1 Introduction
	2 The Model
		2.1 Model Outline
	3 Experimental Conditions
		3.1 Analysis Items at Each Time Step
		3.2 Experimental Conditions
	4 Calculated Results
		4.1 Fundamental Behavior During Infection and Recovery
		4.2 Comparison of the Calculated Results with Real-World Data
		4.3 Regulation and Mitigation of Movement and the Effect of the Virus-Absorbing Rate
		4.4 Infection Behavior When Antibodies Do not Exist
	5 Infection Behavior When the Decreasing Increment of the Number of Viruses Due to the Effect of Immune Cells or Antibodies is Assumed to Be a Constant Value Not Depending on the Number of Viruses
	6 Discussion
		6.1 Fundamental Mechanisms of Infection Spread and Convergence
		6.2 A Proposed Strategy for Controlling the Pandemic While Saving the Economy
	7 Conclusions
	References
Psychology from Stigmergy
	1 Introduction
	2 SCAMP’s Basic Mechanisms
		2.1 Choosing with Preferences and Features
		2.2 Polyagents
	3 SCAMP’s Stigmergic Environments
		3.1 The Causal Event Graph
		3.2 The Geospatial Lattice
		3.3 Hierarchical Goal Networks
		3.4 Involuntary Agent Movement
	4 Experience and Discussion
	References
Geometries of Desire: Simulating René Girard’s Mimetic Theory
	1 Background on Mimetic Theory
	2 Mimetic Networks
	3 Dynamics on Mimetic Triads: Restless Desire
	4 How to Achieve Stability (Part 1): Narcissism
	5 How to Achieve Stability (Part 2): Self-Mediation
	6 Quadrangular Desire: Reciprocity and Rivalry
	7 Convergence of Desire
	8 Fallen Idols
	9 Identities Emerge from Structural Roles
	10 Narrative Generation
	11 Summary: Fads, Fashions, Cascades, and Convergence
	12 Conclusion: A Menagerie of Mechanisms
	Appendix: The Mathematics of Desire
	References
An Agent-Based Model of Digitally-Mediated Farmer Transportation Collaboration
	1 Introduction
	2 Model Description
		2.1 Model Overview
		2.2 Sub-Models
	3 Experimentation and Results
	4 Conclusion
	Appendix 1 – Overview, Design Concepts and Details (ODD) Protocol
		Purpose
		Entities, State Variables, and Scales
		Model Overview
		Basic Principles
		Emergence
		Adaptation
		Objectives
		Observations
		Initialization
	References
Towards a Model of the National Market System: Fragmented and Heterogenous Venues
	1 Introduction
		1.1 Overview of the National Market System
		1.2 Debate Related to Relative Latencies Between the Direct Feeds and the SIP
	2 Literature Review of Market Modeling
		2.1 Market Models with Multiple Exchanges
	3 Methods
		3.1 Our Model of the National Market System
		3.2 Simulation Methods
		3.3 Experimental Design
		3.4 Statistical Relationship Between Simulated and Real-World Markets
	4 Conclusion
	Appendix
	References