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E-raamat: Introducing the Oscillations Based Paradigm: The Simulation of Agents and Social Systems

  • Formaat: PDF+DRM
  • Ilmumisaeg: 16-Jun-2016
  • Kirjastus: Springer International Publishing AG
  • Keel: eng
  • ISBN-13: 9783319390406
  • Formaat - PDF+DRM
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  • Formaat: PDF+DRM
  • Ilmumisaeg: 16-Jun-2016
  • Kirjastus: Springer International Publishing AG
  • Keel: eng
  • ISBN-13: 9783319390406

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The book presents a conceptually novel oscillations based paradigm, the Oscillation-Based Multi-Agent System (OSIMAS), aimed at the modelling of agents and their systems as coherent, stylized, neurodynamic processes. This paradigm links emerging research domains via coherent neurodynamic oscillation based representations of the individual human mind and society (as a coherent collective mind) states. Thus, this multidisciplinary paradigm delivers an empirical and simulation research framework that provides a new way of modelling the complex dynamics of individual and collective mind states.  This book addresses a conceptual problem - the lack of a multidisciplinary, connecting paradigm, which could link fragmented research in the fields of neuroscience, artificial intelligence (AI), multi-agent system (MAS) and the social network domains. The need for a common multidisciplinary research framework essentially arises because these fields share a common object of investigation and

simulation, i.e., individual and collective human behavior. Although the fields of research mentioned above all approach this from different perspectives, their common object of investigation unites them. By putting the various pathways of research as they are interrelated into perspective, this book provides a philosophical underpinning, experimental background and modelling tools that the author anticipates will reveal new frontiers in multidisciplinary research.  Fundamental investigation of the implicit oscillatory nature of agents" mind states and social mediums in general can reveal some new ways of understanding the periodic and nonperiodic fluctuations taking place in real life. For example, via agent states-related diffusion properties, we could investigate complex economic phenomena like the spread of stock market crashes, currency crises, speculative oscillations (bubbles and crashes), social unrest, recessionary effects, sovereign defaults, etc. All these effects are

closely associated with social fragility, which follows and is affected by cycles such as production, political, business and financial. Thus, the multidisciplinary OSIMAS paradigm can yield new knowledge and research perspectives, allowing for a better understanding of social agents and their social organization principles. 

Foreword by Andrea Omicini.- Foreword by John T. Cacioppo.- Preface.- Chapter 1 Synopsis.- Chapter 2 Towards Wavelike Approach.- Chapter 3 Oscillation-based social simulation paradigm: The Conceptual Premises.- Chapter 4 From Baseline Individual to Social Neurodynamics: Experimental Framework.- Chapter 5 OAM-Based Simulation of Human Brain EEG Signal Dynamics using coupled Oscillators Energy Exchange Model (COEEM).- Chapter 6 Mind-Field States and Transitions: Quantum Approach.- Chapter 7 OAM Construction Based on the Universal Free Energy Term: Conceptual Scope and Simulation Results.- Chapter 8 OAM-Based MAS: Simulation Setup and Results.- Chapter 9 Agent-Based Modeling of Excitable Social Media Fluctuations.- Chapter 10 Agent-Based Modeling of Fluctuations in Automated Trading Systems.- Appendix A Autopoietic Systems.- Appendix B Global Workspace Theory.- Appendix C Embodied and Distributed Cognition.- Appendix D Cognition, Categorization, and Adaptive Resonance.- Appendix E Ba

sic Mind States and Quantum Holography.

Arvustused

For enthusiastic readers, the book offers novel methodological approaches to study the physical nature of social cognition and behavior. This pioneering book consists of 11 chapters presented in a chronological way. Throughout the book, there are many high-quality and illustrative pictures, diagrams, and tables. An extensive list of references is provided at the end of the book, which gives readers many opportunities for additional reading. The physical and technical quality of the book is very good. (Computing Reviews, September, 2017)

1 Synopsis
1(8)
2 Towards Wave-like Approach
9(20)
2.1 Overview
9(3)
2.2 Evolving Economic Systems
12(3)
2.3 Methodological Framework
15(6)
2.4 Pervasive Information Field (PIF) Concept
21(4)
2.5 Wave-like Interaction Mechanism (WIM)
25(4)
2.5.1 The Latent (Involuntary) Emission and Absorption Process
26(1)
2.5.2 The Active (Voluntary) Emission and Absorption Process
27(2)
3 Oscillation-Based Social Simulation Paradigm: The Conceptual Premises
29(30)
3.1 General Outlines
29(6)
3.2 The OSIMAS Paradigm: Basic Hypothesis, Assumptions, and Postulates
35(4)
3.3 The Pervasive Information Field (PIF): Extended Conceptual Framework
39(5)
3.4 Information Versus Order in the Case of Coherent Oscillations
44(11)
3.5 Related Other Approaches
55(4)
4 From Baseline Individual to Social Neurodynamics: Experimental Framework
59(24)
4.1 Overview of the Related Research Scope
59(3)
4.2 The OSIMAS Paradigm: Conceptual and Experimental Framework
62(3)
4.3 EEG Experimental Setup: Cross-Correlation of Individual Mind States
65(13)
4.4 Further Prospects
78(5)
5 Oscillations-Based Simulation of Human Brain EEG Signal Dynamics Using Coupled Oscillators Energy Exchange Model (COEEM)
83(24)
5.1 Neuroscience Context
84(2)
5.2 The COEEM Setup and Phase-Locking Mechanism
86(4)
5.3 COEEM Refind with Narrow Spectral Bands Superposition Approach
90(2)
5.4 The Results of the COEEM Simulation for Short and Long Periods
92(12)
5.5 Concluding Remarks
104(3)
6 Mind-Field States and Transitions: Quantum Approach
107(18)
6.1 Stylized Quantum States Model
109(6)
6.2 Constraints and Conditions
115(10)
7 OAM Simulation Setup and Results Using Entropy and Free Energy Terms
125(72)
7.1 OAM in Terms of Free Energy and Negentropy
125(7)
7.2 Bridging the Gap: Quantum Beats Approach
132(10)
7.3 OAM Construction Framework
142(12)
7.4 BMS as Dynamic Processes
154(9)
7.5 Simulation Setup: Circadian Cycles Case
163(10)
7.6 Simulation Results
173(24)
8 OAM-Based MAS: Collective Circadian Rhythms' Simulation Setup and Results
197(26)
8.1 OAM-Based MAS Construction Principles
197(9)
8.2 Simulation Setup: Coherent Collective Circadian Cycles
206(8)
8.3 Simulation Results
214(9)
9 Agent-Based Modeling of Excitable Social Media Fluctuations
223(18)
9.1 Overview
224(3)
9.2 The Basic Model
227(7)
9.3 Social Media Model Composed of Several Agent Groups
234(1)
9.4 Propagation of Two Competing Signals in Populations of Agents
235(6)
10 Agent-Based Modeling of Fluctuations in Automated Trading Systems
241(20)
10.1 Introduction
241(3)
10.2 Mimicking of Financial Times Series by Excitable Agent Media
244(5)
10.3 Portfolio Management Rules in High-Dimensional Situations
249(3)
10.4 Data Used and Its Preliminary Analysis
252(9)
11 Epilogue
261(6)
Appendix A Autopoietic Systems 267(14)
Appendix B Global Workspace Theory 281(12)
Appendix C Embodied and Distributed Cognition 293(8)
Appendix D Cognition, Categorization, and Adaptive Resonance 301(10)
References 311