
Unifying Themes in Complex Systems IX
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Unifying Themes in Complex Systems is a well-established series of carefully edited conference proceedings that serve to document and archive the progress made regarding cross-fertilization in this field.
The International Conference on Complex Systems (ICCS) creates a unique atmosphere for scientists from all fields, engineers, physicians, executives, and a host of other professionals, allowing them to explore common themes and applications of complex systems science. With this new volume, Unifying Themes in Complex Systems continues to establish common ground between the wide-ranging domains of complex systems science.More details
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Content
- Intro
- New England Complex Systems Institute
- New England Complex Systems Institute
- Introduction
- Organization
- Conference Emeritus
- General Chair
- Program Chairs
- Special Sessions Chairs
- Sponsors Chair
- Logistics Chairs
- Program Committee
- Contents
- Epistemological Constraints When Evaluating Ontological Emergence with Computational Complex Adaptive Systems
- 1 Introduction
- 2 Complex Adaptive Systems
- 3 Categories of Emergence
- 3.1 Epistemological and Ontological Emergence
- 3.2 Maier's Emergence Categories
- 4 Epistemological Constraints of Computational Systems
- 5 Discussion
- References
- Synergy and the Bioeconomics of Complexity
- Abstract
- 1 Introduction
- 2 Defining Biological Complexity
- 3 Measuring the Costs and Benefits
- 4 The Synergism Hypothesis
- 5 Synergistic Selection
- 6 The Creative Role of Synergy
- 7 Quantifying Synergy
- 8 Testing for Synergy
- 9 "Why Size Matters"
- 10 A Classic Example
- 11 Toward a Post-modern Evolutionary Synthesis
- 12 An Inclusive Synthesis
- References
- Applications of Complex Systems in Socio-Economic Inequality Research: A Preliminary Survey
- Abstract
- 1 Introduction
- 2 Interpretations and Definitions of Inequality in Society
- 3 The 'Hard' and 'Soft' Complexity of Social Systems
- 4 Internal Systemic Hierarchies and Socio-Economic Inequality
- 5 Complex Systems Models and Socio-Economic Inequality
- 6 Conclusions
- References
- Descartes, Gödel and Kuhn: Epiphenomenalism Defines a Limit on Reductive Logic
- Abstract
- 1 René Descartes
- 2 Reduction
- 3 Descartes, Reduction, Paradox and Epiphenomenalism
- 4 Kurt Gödel
- 5 Gödel and Reductive Epiphenomenalism of Consciousness
- 6 Thomas Kuhn: Epiphenomenalism Resolved and Decided
- 7 Conclusion
- Acknowledgments
- References
- Multi-scale Intent
- Abstract
- 1 Motivation
- 2 A Single Actor's Multi-scale Intent
- 3 Emergence of Cooperation Between Two Actors
- References
- The Laws of Complexity and Self-organization: A Framework for Understanding Neoplasia
- Abstract
- 1 Introduction
- 1.1 The War on Cancer
- 1.2 Reductionism: The Current Approach to Biology
- 1.3 Complexity: Variability that Is not Predictable
- 2 The Laws of Complexity and Self-organization
- 2.1 In Life, as in Other Complex Systems, the Whole Is Greater Than the Sum of the Parts
- 2.2 There Is an Inherent Inability to Predict the Future of Complex Systems
- 2.3 Life Emerges from Non-life When the Diversity of a Closed System of Biomolecules Exceeds a Threshold of Complexity
- 2.4 Much of the Order in Organisms Is Due to Generic Network Properties
- 2.5 Numerous Biologic Pressures Push Cellular Pathways Towards Disorder
- 2.6 Organisms Resist Common Pressures Towards Disorder Through Multiple Layers of Redundant Controls, Many Related to Cell Division
- 2.7 Neoplasia Arises Due to Failure in These Controls, with Histologic and Molecular Characteristics Related to the Cell of Origin, the Nature of the Biologic Pressures, and the Individual's Germline Configuration
- 3 Summary
- Acknowledgments
- References
- Agent Cognition Through Micro-simulations: Adaptive and Tunable Intelligence with NetLogo LevelSpace
- 1 Introduction
- 2 Related Work
- 3 Method
- 4 Model
- 5 Results
- 6 Discussion
- 7 Future Work
- References
- Recognizing Complex Behavior Emerging from Chaos in Cellular Automata
- 1 Preliminaries
- 1.1 Basic Notation
- 2 Elementary Cellular Automaton Rule 126
- 2.1 Basins of Attraction
- 3 Dynamics Emerging with Memory
- 4 Collisions of Gliders
- 5 Conclusions
- References
- Simulation of Scale-Free Correlation in Swarms of UAVs
- 1 Introduction
- 2 Agent-Based Model for UAVs
- 3 Results
- 3.1 Simulation of UAVs Flock
- 3.2 Analysis of Scale-Free Correlation
- 4 Discussion and Future Work
- References
- Complexity of Maxmin- Cellular Automata
- 1 Introduction
- 2 Cellular Automata with General Alphabet
- 2.1 Cellular Automaton Pattern Complexity
- 3 Cellular Automata as a Function of
- 4 Experimental Results
- 5 Discussion
- References
- Evolutionary Development and the VCRIS Model of Natural Selection
- Abstract
- 1 Definition and Overview
- 2 Two Polar Categories and Tensions
- 3 The VCRIS Model of Natural Selection in Autopoetic Systems
- 4 Evolutionary Development in Organisms: The 95/5 Rule
- Acknowledgments
- References
- Selecting Information in Financial Markets Herding and Opinion Swings in a Heterogeneous Mimetic Rational Agent-Based Model
- Abstract
- 1 Introduction
- 2 Model Formulation
- 2.1 General Specifications
- 2.2 Simulation Features
- 2.3 Simulation Steps
- 3 Results and Discussion
- 4 Conclusion
- References
- Election Methods and Collective Decisions
- 1 Introduction
- 2 Representation of the Electorate
- 3 Standard Voting Methods
- 4 Serial Approval Vote Elections
- 5 Test Environment - Electorate Generation
- 5.1 Centrality Score
- 6 Results
- 7 Comments
- References
- Agent-Based Models for Assessing Social Influence Strategies
- Abstract
- 1 Introduction
- 1.1 Bots and Automated Information Campaigns
- 1.2 Agent-Based Models of Social Influence
- 1.3 Opinion Control as Automated Information Campaign
- 2 Model
- 2.1 Neutral Population
- 2.2 Manipulative Agents and Influence Strategies
- 3 Results
- 3.1 Assimilative Influence
- 3.2 Similarity-Biased Influence
- 3.3 Repulsive Influence
- 4 Discussion
- Acknowledgements
- Acknowledgements
- References
- Implicit Learning and Creativity in Human Networks: A Computational Model
- 1 Introduction
- 2 System Description
- 3 Results and Discussion
- References
- On the Shadow Moments of Apparently Infinite-Mean Phenomena
- 1 Introduction
- 2 The Dual Distribution
- 3 Back to Y: The Shadow Mean
- 4 Comparison to Other Methods
- 5 Applications
- References
- A Lexical Network Approach for Identifying Suicidal Ideation in Clinical Interview Transcripts
- 1 Introduction
- 2 Method
- 2.1 Data
- 2.2 Lexical Networks
- 2.3 Evaluating the Fitness of Thoughts
- 2.4 Spreading Activation
- 3 Results
- 4 Conclusion
- References
- Applying Complexity Science with Machine Learning, Agent-Based Models, and Game Engines: Towards Embodied Complex Systems Engineering
- 1 Introduction
- 2 Technological Enablers
- 3 Agent Policy Development
- 3.1 Determining Agent Policies When Modeling Complex Adaptive Systems
- 3.2 Reinforcement Learning
- 3.3 Proximal Policy Optimization
- 3.4 Performance
- 4 Technology Stack
- 5 Search and Rescue Use-Case
- 6 Results and Discussion
- 7 Future Work
- 7.1 Hyperparameter Tuning
- 7.2 Apply Machine Learning to Manage Design of Experiments
- 7.3 Evolve Measures of Performance
- 7.4 Imitation Learning and Virtual Reality
- 8 Conclusion
- References
- Forest Complexity in the Green Tonality of Satellite Images
- Abstract
- 1 Introduction
- 2 Methods
- 3 Results and Discussion
- 4 Conclusion
- Acknowledgments
- References
- Embodied Cognition and Multi-Agent Behavioral Emergence
- 1 Introduction
- 2 Related Work
- 3 The MARBLE Framework and Testbed
- 4 Embodied Agent Learning
- 5 Behavioral Emergence
- 6 Future Directions
- 7 Conclusions
- References
- Neural-Inspired Anomaly Detection
- 1 Introduction
- 2 Background
- 3 Phase-Coded Spiking Neural Network
- 4 Results
- 4.1 Examples 1 and 2 - ``Pepper'' and ``Salt'' Noise
- 4.2 Examples 3 and 4 - ``Salt-and-Pepper'' and ``Random Impulse'' Noise
- 5 Conclusions
- References
- Dynamics and Kinematics at Small Scales: From Micro and Nano Bubbles to Nanotubulation
- 1 Introduction
- 2 Forced Oscillations of a Charged Bubble in a Fluid
- 2.1 A Brief Introduction
- 2.2 Charge Thresholds
- 2.3 Pressure Thresholds
- 3 Dynamics of Vesicular Nanotubulation
- 3.1 Introductory Comments
- 3.2 Features Observed in Force-Extension Curves
- 3.3 The Model of the Vesicular System
- 4 Summary
- References
- Rethinking Branch Banking Network
- Abstract
- 1 Introduction
- 2 Data
- 3 Model
- 4 Results
- 5 Discussion and Conclusions
- References
- Empirical Mode Decomposition in Defence Data Analysis
- Abstract
- 1 Introduction
- 2 Empirical Mode Decomposition
- 3 Security Incidents in Afghanistan 2006-2012
- 4 Pattern of Life Analysis of Marine Shipping off the West Coast of Canada
- 5 Summary and Conclusions
- References
- Scenario Set as a Representative of Possible Futures
- Abstract
- 1 Introduction
- 2 Parameterization of Force Planning Scenarios
- 3 Ship Protection Against Asymmetric Threats: Parametric Modeling
- 4 Summary and Conclusions
- References
- Toward a Quantitative Approach to Data Gathering and Analysis for Nuclear Deterrence Policy
- 1 Introduction
- 2 Proof of Concept
- 3 Conclusions
- A Appendix: Description of Game X
- A.1 Groups in Game X
- References
- CityScope: A Data-Driven Interactive Simulation Tool for Urban Design. Use Case Volpe
- 1 Introduction
- 2 Urban Performance Indicators
- 2.1 Density
- 2.2 Diversity
- 2.3 Proximity
- 2.4 Mobility
- 2.5 Building Energy
- 2.6 Innovation Potential
- 3 MIT- Kendall Square Case Study
- 4 Conclusion
- References
- Transitivity vs Preferential Attachment: Determining the Driving Force Behind the Evolution of Scientific Co-Authorship Networks
- 1 Introduction
- 2 Maximum Likelihood Estimation
- 3 Calculating the Contributions of PA and Transitivity
- 4 Results
- 5 Concluding Remarks
- References
- The Impact of New Mobility Modes on a City: A Generic Approach Using ABM
- 1 Introduction
- 2 Limits of the Existing Tools for Traffic Simulation
- 3 Model Description
- 3.1 Entities, State Variables, and Scales
- 3.2 Process Overview and Scheduling
- 3.3 Initialization and Input Data
- 4 Case Study: City of Cambridge - Kendall Square
- 5 Conclusion and Discussion
- References
- Quantifying Humans' Priors Over Graphical Representations of Tasks
- 1 Introduction
- 1.1 Our Brain Must Utilize Efficient Priors
- 1.2 Main Contributions
- 2 Markov Chain Monte Carlo with People (MCMCP) over (task) Graphs
- 3 Results
- 3.1 Resource Constrained MCMCP
- 3.2 A Natural Low-Dimensional Parametrization of Distributions Over Graphs
- 3.3 Subjects' Priors Have Non-trivial Graphical Structure
- 3.4 General Framework for Quantifying Priors over Exchangeable Random Structures
- 4 Discussion
- References
- Mining the Temporal Structure of Thought from Text
- 1 Introduction
- 2 Document Segmentation
- 3 Markov Model
- 4 Block Embedding and Clustering
- 5 Conclusion
- References
- (Anti)Fragility and Convex Responses in Medicine
- 1 Background
- 1.1 Convexity and Its Effects
- 1.2 Antifragility
- 1.3 The First Order Sigmoid Curve
- 1.4 Some Necessary Relations Leading to a Sigmoid Curve
- 2 The Generalized Dose Response Curve
- 3 Antifragility in the Various Literatures
- 3.1 Denial of Second Order Effect
- 3.2 Scouring the Literature for Antifragility
- 3.3 Extracting an Ancestral Frequency
- 4 Nonlinearities and Iatrogenics
- 4.1 Effect Reversal and the Sigmoid
- 4.2 Nonlinearity of NNT, Overtreatment, and Decision-Making
- References
- Measuring Loss of Homeostasis in Aging
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Data
- 2.2 Statistical Analyses
- 3 Analyses and Results
- 3.1 Robust Mahalanobis Distance
- 3.2 Characterizing PCs
- 3.3 Using PC Subsets to Calculate Dm
- 3.4 Interpretation of the Last Few PCs
- 4 Discussion
- References
- Predictive Patterns Among Microorganisms: Data Sciences for Screening Smart Bacteria for Methanogenesis and Wastewater Treatment
- Abstract
- 1 Introduction
- 2 Computer-Assisted Strain Construction
- 3 Data Model
- 4 Screening Microbs
- 5 Conclusions
- References
- The Effect of Removal of Self-loop for Attractor in Cell Cycle Network
- 1 Introduction
- 2 Model
- 3 Numerical Result
- 4 Summary and Discussion
- References
- Network Modularity and Hierarchical Structure in Breast Cancer Molecular Subtypes
- 1 Modularity in Biological Networks
- 2 Breast Cancer Heterogeneity and Modularity
- 3 Conclusions
- References
- A Manifold Learning Approach to Chart Human Brain Dynamics Using Resting EEG Signals
- 1 Introduction
- 2 Preparation of Datasets
- 2.1 Measurements of EEG Signals
- 2.2 Calculations of Power Spectral Densities (PSDs)
- 3 Analysis Methodology
- 3.1 Distance Measure Based on Itakura-Saito Divergence
- 3.2 Manifold Learning
- 4 Results
- 5 Conclusion
- References
- The Design for Maritime Singularity: Exploration of Human/AI Teaming and Organizational Carrying Capacity for the U.S. Navy
- Abstract
- 1 mmowgli Overview
- 2 Design for Maritime Singularity Game Concept
- 3 Game Execution
- 4 Analysis of Results
- 4.1 Singularity 1 Major Themes
- 4.2 Singularity 1 Design Challenges
- 4.3 Singularity 2 Major Themes
- 4.4 Singularity 2 Design Challenge
- 5 Workshop Design and Results
- 5.1 Group 1: SQUID
- 5.2 Group 2: ADAPT
- 5.3 Group 3: Mind the Gap
- 6 Conclusions
- References
- Step by Step to Peace in Syria
- References
- Urban School Leadership and Adaptive Change: The "Rabbit Hole" of Continuous Emergence
- Abstract
- 1 The Challenge of Urban School Leadership
- 2 Initial Conditions at Jeffrey Jackson School
- 3 The Rabbit Hole
- 4 Richard Davidson Emails: April 8, 2014 and October 15, 2015
- 5 Conclusions
- References
- Reading the Media's Mind
- 1 Introduction
- 2 Related Work
- 3 Methods
- 4 Experiments
- 5 Conclusion
- References
- Social Neointeraction on Facebook, Presidential Campaign Mexico 2018
- Abstract
- 1 Introduction
- 1.1 Purpose
- 2 Neointeraction Networks on Facebook
- 3 Methodology
- 4 Results
- 5 Discussion and Conclusion
- References
- Visualizing Urban vs. Rural Sentiments in Real-Time
- 1 Introduction
- 2 Background
- 3 Methodology
- 4 Accumulated Data
- 5 Real-Time Data
- 6 Discussion
- 7 Future Work
- References
- Urban Security Analysis in the City of Bogotá Using Complex Networks
- 1 Introduction
- 2 Related Work
- 3 Methodology
- 3.1 City Graph
- 3.2 Security Data
- 3.3 Traffic Data
- 3.4 Police Stations Locations
- 3.5 Edge Weight Calculation
- 4 Results
- 4.1 Network and Traffic Information
- 4.2 Urban Security Graph
- 4.3 Best Path Routing
- 5 Conclusions
- References
- Network Analysis of ERC20 Tokens Trading on Ethereum Blockchain
- 1 Introduction
- 2 Background and Related Work
- 3 Methodology
- 3.1 Data
- 3.2 Graph Analysis
- 4 Results
- 5 Concluding Remarks and Future Work
- References
- The Principle of Relatedness
- Abstract
- 1 Introduction
- 2 The Principle of Relatedness
- References
- Open Innovation in the Public Sector
- Abstract
- 1 Introduction
- 2 Public Value
- 3 Open Innovation in the Public Sector
- 3.1 Sensing Capability
- 3.2 Seizing Capability
- 3.3 Transforming Capability
- 4 Final Considerations
- Acknowledgments
- References
- Trust Asymmetry
- Abstract
- 1 Introduction
- 2 Literature
- 3 Methods
- 3.1 The Characterization of Flows
- 4 Analysis
- 4.1 Trust Asymmetry: The Quantitative Approach
- 5 Conclusions
- References
- Exploring the True Relationship Among Countries from Flow Data of International Trade and Migration
- 1 Introduction
- 2 Model and Data Sources
- 2.1 General Gravity Model
- 2.2 Minimum Reverse Flow
- 2.3 Data Sources
- 3 Results
- 3.1 The Fitting of Gravity Model
- 3.2 Location of Countries in the Global Trade and Migration Spaces
- 3.3 Hierarchy of Countries in Global Trade and Migration Network
- 4 Conclusions and Discussions
- References
- Special Operations Forces: A Global Immune System?
- 1 Executive Summary
- 2 Introduction
- 3 Multiscale Control Systems
- 3.1 The Law of Requisite Variety and Its Limitations
- 3.2 Scale/Complexity Tradeoff
- 4 The Immune and Neuromuscular Systems
- 5 Multiscale Military Theory and the Functional Role of SOF
- 5.1 Distinctive Capabilities
- 5.2 Persistent Presence
- 5.3 Local Autonomy and Decision-Making
- 6 Challenges and Implementation
- 7 SOF in the 21st Century
- References
- Engineered Complex Adaptive Systems of Systems: A Military Application
- Abstract
- 1 Introduction
- 2 Decision Aids for Battle Management
- 2.1 Battle Management Decisions
- 2.2 Automated Aids to Support Human Decisions
- 2.3 Battle Management: A Complex Endeavor
- 3 A Systems Approach
- 3.1 A. Viewing Warfare Assets as Resource Systems
- 3.2 Viewing Battle Management Holistically
- 3.3 Viewing the Decision Space as a System
- 3.4 Solution Space: Complex Adaptive Systems of Systems
- 4 Conclusions
- References
- Correction to: The Principle of Relatedness
- Correction to: Chapter "The Principle of Relatedness" in: A. J. Morales et al. (Eds.): Unifying Themes in Complex Systems IX, SPCOM, https://doi.org/10.1007/978-3-319-96661-8_46
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