The Resource Introducing the oscillations based paradigm : the simulation of agents and social systems, Darius Plikynas

Introducing the oscillations based paradigm : the simulation of agents and social systems, Darius Plikynas

Label
Introducing the oscillations based paradigm : the simulation of agents and social systems
Title
Introducing the oscillations based paradigm
Title remainder
the simulation of agents and social systems
Statement of responsibility
Darius Plikynas
Creator
Author
Subject
Genre
Language
eng
Summary
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
Cataloging source
EBLCP
http://library.link/vocab/creatorName
Plikynas, Darius
Dewey number
658.4038
Index
no index present
LC call number
QP357.5
LC item number
.P58 2016
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/subjectName
  • Neurosciences
  • Artificial intelligence
  • Social networks
  • Social systems
  • Multiagent systems
  • Business and Management
  • Business Information Systems
  • Big Data/Analytics
  • Simulation and Modeling
  • Special Purpose and Application-Based Systems
Label
Introducing the oscillations based paradigm : the simulation of agents and social systems, Darius Plikynas
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-39040-6
Instantiates
Publication
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Intro; Foreword by Prof. Andrea Omicini; Foreword by Prof. John T. Cacioppo; Preface; Contents; Abbreviations; 1 Synopsis; 2 Towards Wave-like Approach; 3 Oscillation-Based Social Simulation Paradigm: The Conceptual Premises; 4 From Baseline Individual to Social Neurodynamics: Experimental Framework; 5 Oscillations-Based Simulation of Human Brain EEG Signal Dynamics Using Coupled Oscillators Energy Exchange Model (COEEM); 6 Mind-Field States and Transitions: Quantum Approach; 7 OAM Simulation Setup and Results Using Entropy and Free Energy Terms
  • 8 OAM-Based MAS: Collective Circadian Rhythms' Simulation Setup and Results9 Agent-Based Modeling of Excitable Social Media Fluctuations; 10 Agent-Based Modeling of Fluctuations in Automated Trading Systems; 11 Epilogue; Appendix A: Autopoietic Systems1; Appendix B: Global Workspace Theory7; Appendix C: Embodied and Distributed Cognition11; Appendix D: Cognition, Categorization, and Adaptive Resonance12; References; 2.1 Overview; 2.2 Evolving Economic Systems; 2.3 Methodological Framework; 2.4 Pervasive Information Field (PIF) Concept; 2.5 Wave-like Interaction Mechanism (WIM)
  • 3.1 General Outlines3.2 The OSIMAS Paradigm: Basic Hypothesis, Assumptions, and Postulates; 3.3 The Pervasive Information Field (PIF): Extended Conceptual Framework; 3.4 Information Versus Order in the Case of Coherent Oscillations; 3.5 Related Other Approaches; 4.1 Overview of the Related Research Scope; 4.2 The OSIMAS Paradigm: Conceptual and Experimental Framework; 4.3 EEG Experimental Setup: Cross-Correlation of Individual Mind States; 4.4 Further Prospects; 5.1 Neuroscience Context; 5.2 The COEEM Setup and Phase-Locking Mechanism
  • 5.3 COEEM Refind with Narrow Spectral Bands Superposition Approach5.4 The Results of the COEEM Simulation for Short and Long Periods; 5.5 Concluding Remarks; 6.1 Stylized Quantum States Model; 6.2 Constraints and Conditions; 7.1 OAM in Terms of Free Energy and Negentropy; 7.2 Bridging the Gap: Quantum Beats Approach; 7.3 OAM Construction Framework; 7.4 BMS as Dynamic Processes; 7.5 Simulation Setup: Circadian Cycles Case; 7.6 Simulation Results; 8.1 OAM-Based MAS Construction Principles; 8.2 Simulation Setup: Coherent Collective Circadian Cycles; 8.3 Simulation Results; 9.1 Overview
  • 9.2 The Basic Model9.3 Social Media Model Composed of Several Agent Groups; 9.4 Propagation of Two Competing Signals in Populations of Agents; 10.1 Introduction; 10.2 Mimicking of Financial Times Series by Excitable Agent Media; 10.3 Portfolio Management Rules in High-Dimensional Situations; 10.4 Data Used and Its Preliminary Analysis; 2.5.1 The Latent (Involuntary) Emission and Absorption Process; 2.5.2 The Active (Voluntary) Emission and Absorption Process
Dimensions
unknown
Extent
1 online resource (xxiv, 325 pages)
Form of item
online
Isbn
9783319390406
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-3-319-39040-6
Specific material designation
remote
System control number
  • (OCoLC)952247846
  • (OCoLC)ocn952247846
Label
Introducing the oscillations based paradigm : the simulation of agents and social systems, Darius Plikynas
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-39040-6
Publication
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Intro; Foreword by Prof. Andrea Omicini; Foreword by Prof. John T. Cacioppo; Preface; Contents; Abbreviations; 1 Synopsis; 2 Towards Wave-like Approach; 3 Oscillation-Based Social Simulation Paradigm: The Conceptual Premises; 4 From Baseline Individual to Social Neurodynamics: Experimental Framework; 5 Oscillations-Based Simulation of Human Brain EEG Signal Dynamics Using Coupled Oscillators Energy Exchange Model (COEEM); 6 Mind-Field States and Transitions: Quantum Approach; 7 OAM Simulation Setup and Results Using Entropy and Free Energy Terms
  • 8 OAM-Based MAS: Collective Circadian Rhythms' Simulation Setup and Results9 Agent-Based Modeling of Excitable Social Media Fluctuations; 10 Agent-Based Modeling of Fluctuations in Automated Trading Systems; 11 Epilogue; Appendix A: Autopoietic Systems1; Appendix B: Global Workspace Theory7; Appendix C: Embodied and Distributed Cognition11; Appendix D: Cognition, Categorization, and Adaptive Resonance12; References; 2.1 Overview; 2.2 Evolving Economic Systems; 2.3 Methodological Framework; 2.4 Pervasive Information Field (PIF) Concept; 2.5 Wave-like Interaction Mechanism (WIM)
  • 3.1 General Outlines3.2 The OSIMAS Paradigm: Basic Hypothesis, Assumptions, and Postulates; 3.3 The Pervasive Information Field (PIF): Extended Conceptual Framework; 3.4 Information Versus Order in the Case of Coherent Oscillations; 3.5 Related Other Approaches; 4.1 Overview of the Related Research Scope; 4.2 The OSIMAS Paradigm: Conceptual and Experimental Framework; 4.3 EEG Experimental Setup: Cross-Correlation of Individual Mind States; 4.4 Further Prospects; 5.1 Neuroscience Context; 5.2 The COEEM Setup and Phase-Locking Mechanism
  • 5.3 COEEM Refind with Narrow Spectral Bands Superposition Approach5.4 The Results of the COEEM Simulation for Short and Long Periods; 5.5 Concluding Remarks; 6.1 Stylized Quantum States Model; 6.2 Constraints and Conditions; 7.1 OAM in Terms of Free Energy and Negentropy; 7.2 Bridging the Gap: Quantum Beats Approach; 7.3 OAM Construction Framework; 7.4 BMS as Dynamic Processes; 7.5 Simulation Setup: Circadian Cycles Case; 7.6 Simulation Results; 8.1 OAM-Based MAS Construction Principles; 8.2 Simulation Setup: Coherent Collective Circadian Cycles; 8.3 Simulation Results; 9.1 Overview
  • 9.2 The Basic Model9.3 Social Media Model Composed of Several Agent Groups; 9.4 Propagation of Two Competing Signals in Populations of Agents; 10.1 Introduction; 10.2 Mimicking of Financial Times Series by Excitable Agent Media; 10.3 Portfolio Management Rules in High-Dimensional Situations; 10.4 Data Used and Its Preliminary Analysis; 2.5.1 The Latent (Involuntary) Emission and Absorption Process; 2.5.2 The Active (Voluntary) Emission and Absorption Process
Dimensions
unknown
Extent
1 online resource (xxiv, 325 pages)
Form of item
online
Isbn
9783319390406
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-3-319-39040-6
Specific material designation
remote
System control number
  • (OCoLC)952247846
  • (OCoLC)ocn952247846

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