Author: Terry Bossomaier
Publisher: Springer
ISBN: 3319432222
Category : Computers
Languages : en
Pages : 210
Book Description
This book considers a relatively new metric in complex systems, transfer entropy, derived from a series of measurements, usually a time series. After a qualitative introduction and a chapter that explains the key ideas from statistics required to understand the text, the authors then present information theory and transfer entropy in depth. A key feature of the approach is the authors' work to show the relationship between information flow and complexity. The later chapters demonstrate information transfer in canonical systems, and applications, for example in neuroscience and in finance. The book will be of value to advanced undergraduate and graduate students and researchers in the areas of computer science, neuroscience, physics, and engineering.
An Introduction to Transfer Entropy
Transfer Entropy
Author: Deniz Gençağa
Publisher: MDPI
ISBN: 3038429198
Category : Mathematics
Languages : en
Pages : 335
Book Description
This book is a printed edition of the Special Issue "Transfer Entropy" that was published in Entropy
Publisher: MDPI
ISBN: 3038429198
Category : Mathematics
Languages : en
Pages : 335
Book Description
This book is a printed edition of the Special Issue "Transfer Entropy" that was published in Entropy
Transfer Entropy
Author: Deniz Gençağa (Ed.)
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
From Physics to Econophysics and Back: Methods and Insights
Author: Siew Ann Cheong
Publisher: Frontiers Media SA
ISBN: 2889765199
Category : Science
Languages : en
Pages : 341
Book Description
Publisher: Frontiers Media SA
ISBN: 2889765199
Category : Science
Languages : en
Pages : 341
Book Description
The Local Information Dynamics of Distributed Computation in Complex Systems
Author: Joseph T. Lizier
Publisher: Springer Science & Business Media
ISBN: 3642329527
Category : Technology & Engineering
Languages : en
Pages : 249
Book Description
The nature of distributed computation in complex systems has often been described in terms of memory, communication and processing. This thesis presents a complete information-theoretic framework to quantify these operations on information (i.e. information storage, transfer and modification), and in particular their dynamics in space and time. The framework is applied to cellular automata, and delivers important insights into the fundamental nature of distributed computation and the dynamics of complex systems (e.g. that gliders are dominant information transfer agents). Applications to several important network models, including random Boolean networks, suggest that the capability for information storage and coherent transfer are maximised near the critical regime in certain order-chaos phase transitions. Further applications to study and design information structure in the contexts of computational neuroscience and guided self-organisation underline the practical utility of the techniques presented here.
Publisher: Springer Science & Business Media
ISBN: 3642329527
Category : Technology & Engineering
Languages : en
Pages : 249
Book Description
The nature of distributed computation in complex systems has often been described in terms of memory, communication and processing. This thesis presents a complete information-theoretic framework to quantify these operations on information (i.e. information storage, transfer and modification), and in particular their dynamics in space and time. The framework is applied to cellular automata, and delivers important insights into the fundamental nature of distributed computation and the dynamics of complex systems (e.g. that gliders are dominant information transfer agents). Applications to several important network models, including random Boolean networks, suggest that the capability for information storage and coherent transfer are maximised near the critical regime in certain order-chaos phase transitions. Further applications to study and design information structure in the contexts of computational neuroscience and guided self-organisation underline the practical utility of the techniques presented here.
Information Dynamics
Author: Harald Atmanspacher
Publisher: Springer Science & Business Media
ISBN: 1489923055
Category : Technology & Engineering
Languages : en
Pages : 362
Book Description
Proceedings of a NATO ASI held in Irsee/Kaufbeuren, Germany, June 15--26, 1990
Publisher: Springer Science & Business Media
ISBN: 1489923055
Category : Technology & Engineering
Languages : en
Pages : 362
Book Description
Proceedings of a NATO ASI held in Irsee/Kaufbeuren, Germany, June 15--26, 1990
Information Thermodynamics on Causal Networks and its Application to Biochemical Signal Transduction
Author: Sosuke Ito
Publisher: Springer
ISBN: 981101664X
Category : Science
Languages : en
Pages : 140
Book Description
In this book the author presents a general formalism of nonequilibrium thermodynamics with complex information flows induced by interactions among multiple fluctuating systems. The author has generalized stochastic thermodynamics with information by using a graphical theory. Characterizing nonequilibrium dynamics by causal networks, he has obtained a novel generalization of the second law of thermodynamics with information that is applicable to quite a broad class of stochastic dynamics such as information transfer between multiple Brownian particles, an autonomous biochemical reaction, and complex dynamics with a time-delayed feedback control. This study can produce further progress in the study of Maxwell’s demon for special cases. As an application to these results, information transmission and thermodynamic dissipation in biochemical signal transduction are discussed. The findings presented here can open up a novel biophysical approach to understanding information processing in living systems.
Publisher: Springer
ISBN: 981101664X
Category : Science
Languages : en
Pages : 140
Book Description
In this book the author presents a general formalism of nonequilibrium thermodynamics with complex information flows induced by interactions among multiple fluctuating systems. The author has generalized stochastic thermodynamics with information by using a graphical theory. Characterizing nonequilibrium dynamics by causal networks, he has obtained a novel generalization of the second law of thermodynamics with information that is applicable to quite a broad class of stochastic dynamics such as information transfer between multiple Brownian particles, an autonomous biochemical reaction, and complex dynamics with a time-delayed feedback control. This study can produce further progress in the study of Maxwell’s demon for special cases. As an application to these results, information transmission and thermodynamic dissipation in biochemical signal transduction are discussed. The findings presented here can open up a novel biophysical approach to understanding information processing in living systems.
Advances in Artificial Life
Author: Fernando Almeida e Costa
Publisher: Springer
ISBN: 3540749136
Category : Computers
Languages : en
Pages : 1232
Book Description
This book constitutes the refereed proceedings of the 9th European Conference on Artificial Life, ECAL 2007, held in Lisbon, Portugal. The 125 revised full papers cover morphogenesis and development, robotics and autonomous agents, evolutionary computation and theory, cellular automata, models of biological systems and their applications, ant colony and swarm systems, evolution of communication, simulation of social interactions, self-replication, artificial chemistry.
Publisher: Springer
ISBN: 3540749136
Category : Computers
Languages : en
Pages : 1232
Book Description
This book constitutes the refereed proceedings of the 9th European Conference on Artificial Life, ECAL 2007, held in Lisbon, Portugal. The 125 revised full papers cover morphogenesis and development, robotics and autonomous agents, evolutionary computation and theory, cellular automata, models of biological systems and their applications, ant colony and swarm systems, evolution of communication, simulation of social interactions, self-replication, artificial chemistry.
Complexity in Economic and Social Systems
Author: Stanisław Drożdż
Publisher: MDPI
ISBN: 3036507949
Category : Business & Economics
Languages : en
Pages : 534
Book Description
There is no term that better describes the essential features of human society than complexity. On various levels, from the decision-making processes of individuals, through to the interactions between individuals leading to the spontaneous formation of groups and social hierarchies, up to the collective, herding processes that reshape whole societies, all these features share the property of irreducibility, i.e., they require a holistic, multi-level approach formed by researchers from different disciplines. This Special Issue aims to collect research studies that, by exploiting the latest advances in physics, economics, complex networks, and data science, make a step towards understanding these economic and social systems. The majority of submissions are devoted to financial market analysis and modeling, including the stock and cryptocurrency markets in the COVID-19 pandemic, systemic risk quantification and control, wealth condensation, the innovation-related performance of companies, and more. Looking more at societies, there are papers that deal with regional development, land speculation, and the-fake news-fighting strategies, the issues which are of central interest in contemporary society. On top of this, one of the contributions proposes a new, improved complexity measure.
Publisher: MDPI
ISBN: 3036507949
Category : Business & Economics
Languages : en
Pages : 534
Book Description
There is no term that better describes the essential features of human society than complexity. On various levels, from the decision-making processes of individuals, through to the interactions between individuals leading to the spontaneous formation of groups and social hierarchies, up to the collective, herding processes that reshape whole societies, all these features share the property of irreducibility, i.e., they require a holistic, multi-level approach formed by researchers from different disciplines. This Special Issue aims to collect research studies that, by exploiting the latest advances in physics, economics, complex networks, and data science, make a step towards understanding these economic and social systems. The majority of submissions are devoted to financial market analysis and modeling, including the stock and cryptocurrency markets in the COVID-19 pandemic, systemic risk quantification and control, wealth condensation, the innovation-related performance of companies, and more. Looking more at societies, there are papers that deal with regional development, land speculation, and the-fake news-fighting strategies, the issues which are of central interest in contemporary society. On top of this, one of the contributions proposes a new, improved complexity measure.
Entropy Generation Minimization
Author: Adrian Bejan
Publisher: CRC Press
ISBN: 1482239175
Category : Science
Languages : en
Pages : 389
Book Description
This book presents the diverse and rapidly expanding field of Entropy Generation Minimization (EGM), the method of thermodynamic optimization of real devices. The underlying principles of the EGM method - also referred to as "thermodynamic optimization," "thermodynamic design," and "finite time thermodynamics" - are thoroughly discussed, and the me
Publisher: CRC Press
ISBN: 1482239175
Category : Science
Languages : en
Pages : 389
Book Description
This book presents the diverse and rapidly expanding field of Entropy Generation Minimization (EGM), the method of thermodynamic optimization of real devices. The underlying principles of the EGM method - also referred to as "thermodynamic optimization," "thermodynamic design," and "finite time thermodynamics" - are thoroughly discussed, and the me