Advances in Complex Societal Environmental and Engineered Systems 1st Edition by Mohamed Nemiche, Mohammad Essaaidi 3319461649 9783319461649

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ISBN-10 :  3319461649 

ISBN-13 :  9783319461649

Author:  Mohamed Nemiche, Mohammad Essaaidi 

This book addresses recent technological progress that has led to an increased complexity in many natural and artificial systems. The resulting complexity research due to the emergence of new properties and spatio-temporal interactions among a large number of system elements – and between the system and its environment – is the primary focus of this text. This volume is divided into three parts: Part one focuses on societal and ecological systems, Part two deals with approaches for understanding, modeling, predicting and mastering socio-technical systems, and Part three includes real-life examples. Each chapter has its own special features; it is a self-contained contribution of distinguished experts working on different fields of science and technology relevant to the study of complex systems. Advances in Complex Systems of Contemporary Reality: Societal, Environmental and Engineered Systems will provide postgraduate students, researchers and managers with qualitative and quantitative methods for handling the many features of complex contemporary reality.

Advances in Complex Societal Environmental and Engineered Systems 1st Table of contents:

Part I Societal and Ecological Systems
ProtestLab: A Computational Laboratory for Studying Street Protests
1 Introduction
2 Theoretical Background and Previous Models
3 Model Description
3.1 Agents, Scenario and Interactions
3.2 Design Concepts and Agent Architecture
3.2.1 Agents’ Movement
3.2.2 Agents’ State Transitions
3.3 Process Overview and Scheduling
3.4 Quantitative Measures of Emergent Properties
3.5 Parametrization and Validation
4 Results
5 Discussion
6 Conclusions and Future Developments
References
A Generic Agent-Based Model of Historical Social Behaviors Change
1 Introduction
2 Conflict as an Engine for Social Change
3 Artificial Society: Agent-Based Social Simulation
4 Model Description
4.1 The Environment Sub-model
4.2 Agents
4.2.1 Satisfaction Function
4.2.2 Social Suffered Repression Function Used as a Mechanism for Social Change
4.2.3 Probability/Weight Calculation: Learning Process
4.2.4 Repressive Capacity Calculation
4.2.5 Technological Progress
4.2.6 Reproduction and Death of Agents
4.2.7 Agent Mobility: Migration
5 East–West Divide (Collectivist Versus Individualist)
6 North–South Divide (Fast Growing Technology Versus Slow Growing)
7 Preliminary Results
8 Conclusion and Perspectives
Appendix
References
Understanding Social Systems Research
1 Introduction
2 Social Complexity
3 Social Systems
4 Systemic Inquiry
5 Social Systems Research
6 Systems Analytics
7 Systems Savvy
References
ForestSim: An Agent-Based Simulation for Bioenergy Sustainability Assessment
1 Introduction
2 Literature Review
2.1 Bioenergy as a Complex Systems Problem
2.2 Current Bioenergy Assessment Tools
2.3 Agent-Based Simulation for Coupled Human and Natural Systems
3 Methodology
4 ForestSim for Bioenergy Sustainability Assessment in the UP
4.1 The Availability of Sustainable Woody Biomass in the UP
4.2 Operationalization Issues
4.3 The ForestSim Approach
5 Conclusion
References
Toward a Complex Concept of Sustainability
1 Introduction
2 The Complexity of Human Nature
3 Nature Versus Culture
4 Beyond the Pleasure Principle
5 Uncertainty and Adaptation
6 “Certainties” and Human Hubris
7 Change, Perception and Resistance
8 Nicholas Georgescu-Roegen, Sustentainability and Complexity
9 Sustentainability, Complexity, and Human Nature
10 Gaia
11 Global Warming
12 Complexity Thinking as a Philosophy of Difference
13 A Thousand Plateaus
14 Assemblage
15 Territorialization, Deterritorialization and Reterritorialization
16 Correspondences and Benefits
17 Geophilosophy
18 Rhizomes, Forests, and Water
19 The Complexity of Sustainability
References
Effects of Policy Decision-Making on Riparian Corridors in a Semi-arid Desert: A Modeling Approach
1 Introduction
1.1 The Upper San Pedro River Watershed
2 Agent-Based Modeling
2.1 Social Submodel
2.2 Hydrological Submodel
2.3 Ecological Submodel
2.4 Initialization of the Model
2.5 Agent-Based Model Results
3 Bayesian Belief Networks
3.1 Acyclic Graph Creation
3.2 Conditional Probabilities
3.3 Bayesian Belief Network of Policy Decision-Making in the Upper San Pedro River
4 Conclusions and Further Work
References
Part II Approaches for Understanding, Modeling, Forecasting and Mastering Complex Systems
Dialectical Systems Theory as a Way to Handle Complex Systems
1 The Process of Human Handling of Complexity
2 Dialectical Systems Theory
3 Summary of Social Responsibility
4 Brief Suggestion Concerning Application of Social Responsibility in Management of Complexity
5 Methodological Support to Efforts for Social Responsibility and Dialectically Systemic Behavior
5.1 Summary of the Essence of USOMID
5.2 USOMID-SREDIM Procedure as the General Method for Creative Work and Co-operation in the USOMID C
5.3 Chances for Completing up USOMID by the SIX THINKING HATS
6 Conclusions
References
Reducing Complexity of Nonlinear Dynamical Systems
1 Problem Formulation
2 Analytic Procedure to Obtain Multi-model Structure
2.1 Analytical Method
2.2 Academical Example
2.3 Choice Criteria for Quasi-LPV Form
2.4 Multiple Time Scale Case
2.4.1 The Singularly Perturbed Form
2.4.2 The Homotopy Method
2.4.3 Singular Multi-models
2.5 Modeling Uncertainties as Unknown Inputs in the MM
3 Observer Synthesis for Singular Multi-models
4 Application to Wastewater Treatment Plant
4.1 Process Description and ASM1 Model
4.2 Slow and Fast Variable Separation
4.3 Singular Multi-model Representation for ASM1
4.4 Unknown Input Observer Design
5 Conclusion
References
A Few Reflections on the Quality of Emergence in Complex Collective Systems
1 Introduction
2 Preliminaries
2.1 Methodological Assumptions and Preliminary Steps
3 Elements of a Classification of Emergent Systems
3.1 Hierarchies with Components Less Advanced than the Compound
3.1.1 Organs
3.1.2 Systems of Organs
3.1.3 Organisms
3.1.4 Societies
4 Resilience and Failure Semantics
4.1 Resilience as a Dynamic Property
4.2 Resilience as a Compound’s Property
4.3 A Note on Failure Semantics
5 Conclusions
References
Link Structure Analysis of Urban Street Networks for Delineating Traffic Impact Areas
1 Introduction
2 Study Framework
3 Data
3.1 Street Network
3.2 Traffic Volume
4 Methods
4.1 The Flow-Based Ranking Algorithm
4.1.1 Attractiveness of a Node and Link Relationships Between Nodes
4.1.2 Model Fitting and Parameter Estimation
4.2 The Outgoing Entropy
4.3 Delineation of Traffic Impact Area
5 Results and Discussions
5.1 The FBPR Scores
5.2 The Outgoing Entropy
5.3 The Congested Segments
5.4 Traffic Impact Areas
6 Conclusions
References
Logic, Mathematics and Consistency in Literature: Searching for Don Quixote’s Place
1 Introduction
2 Hypothesis to Address the Problem of Finding Don Quixote’s Place
2.1 Estimation of Walking Times in Trips Involving Don Quixote’s Place (See Parra et al. 2005; Parra
2.2 Estimation of the Distances Between Venta de Cárdenas, Puerto Lápice and El Toboso to Each Tow
2.3 Estimations of Maximum Speed per Day (See Parra et al. 2005)
2.4 Specific Hypothesis: Once We Have Assumed the Locations of Venta de Cárdenas, Puerto Lápice an
3 Analysis of Results
4 Conclusions
References
Energy-Efficient Buildings as Complex Socio-technical Systems: Approaches and Challenges
1 Introduction
2 Energy Efficient Building Approaches
2.1 Control Approaches
2.1.1 Centralized Control
2.1.2 Decentralized Control
2.2 Behavior Approaches
2.2.1 Building Behavior
2.2.2 Occupant Behavior
3 Energy Efficiency Metrics in Buildings
3.1 Performance Metrics
3.2 Comfort Metrics
4 Modeling and Simulation Tools and BEMS Platforms
5 Conclusions and Future Work
References
Part III Real-Life Examples
Modelling Space-Time-Action Modularity and Evolution of Living Systems
1 Introduction
2 Actors: Dynamics Characteristics and Characteristics Dynamics
2.1 A System Must Be Defined Independently of Its Level of Organization: Functional Modularity and M
2.2 A Level of Organization Must Be Defined Independently of What a System Is: Topological Modularit
2.3 As Spaces Are Limited Times Are Limited too and Conversely: Temporal Modularity and Modules Temp
3 Interactions: Ontogeny of Interactions and Interactive-Space-Time Ontogeny
3.1 To Share Advantages and Disadvantages: ARMSADA, the Only Way for a Viable Spatial, Temporal and
3.2 The Periodic Table of Biological Systems Organization Levels
3.3 Evidence for a Developmental-Growth Functional Allometry
4 Dynamics of Evolution and Evolutive Dynamics of ARMSADA Emergence
4.1 Functioning of Functional Networks: “To Eat and Not to Be Eaten”
4.2 Topology of Topological Networks. ARMSADA: Take-Make-Waste-Recycle, Waste Products From Ones Are
4.3 Temporality of Temporal Networks: An Optimal Full Surface Flow
5 Discussion
6 Conclusion

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