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Author | Title | Accn# | Year | Item Type | Claims |
| 51 |
Biancalani, Tommaso |
The Influence of Demographic Stochasticity on Population Dynamics |
I06238 |
2014 |
eBook |
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| 52 |
Cristelli, Matthieu |
Complexity in Financial Markets |
I06187 |
2014 |
eBook |
|
| 53 |
Frederic Abergel (ed.) |
Econophysics and Data Driven Modelling of Market Dynamics |
I06087 |
2015 |
eBook |
|
| 54 |
Scharnhorst, Andrea |
Models of Science Dynamics |
I06006 |
2012 |
eBook |
|
| 55 |
M??ndez, Vicen?? |
Stochastic Foundations in Movement Ecology |
I05866 |
2014 |
eBook |
|
| 56 |
K??mmel, Reiner |
The Second Law of Economics |
I05708 |
2011 |
eBook |
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51.
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| Title | The Influence of Demographic Stochasticity on Population Dynamics : A Mathematical Study of Noise-Induced Bistable States and Stochastic Patterns |
| Author(s) | Biancalani, Tommaso |
| Publication | Cham, Springer International Publishing, 2014. |
| Description | XVII, 113 p. 37 illus., 16 illus. in color : online resource |
| Abstract Note | The dynamics of population systems cannot be understood within the framework of ordinary differential equations, which assume that the number of interacting agents is infinite. With recent advances in ecology, biochemistry and genetics it is becoming increasingly clear that real systems are in fact subject to a great deal of noise. Relevant examples include social insects competing for resources, molecules undergoing chemical reactions in a cell and a pool of genomes subject to evolution.??When the population size is small, novel macroscopic phenomena can arise, which can be analyzed using the theory of stochastic processes. This thesis is centered on two unsolved problems in population dynamics: the symmetry breaking observed in foraging populations, and the robustness of spatial patterns. We argue that these problems can be resolved with the help of two novel concepts: noise-induced bistable states and stochastic patterns |
| ISBN,Price | 9783319077284 |
| Keyword(s) | 1. Biological and Medical Physics, Biophysics
2. BIOLOGICAL PHYSICS
3. BIOPHYSICS
4. Community & Population Ecology
5. Community ecology, Biotic
6. Data-driven Science, Modeling and Theory Building
7. EBOOK
8. EBOOK - SPRINGER
9. ECONOPHYSICS
10. PROBABILITIES
11. Probability Theory and Stochastic Processes
12. Sociophysics
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I06238 |
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On Shelf |
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52.
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| Title | Complexity in Financial Markets : Modeling Psychological Behavior in Agent-Based Models and Order Book Models |
| Author(s) | Cristelli, Matthieu |
| Publication | Cham, Springer International Publishing, 2014. |
| Description | XIX, 216 p : online resource |
| Abstract Note | Tools and methods from complex systems science can have a considerable impact on the way in which the quantitative assessment of economic and financial issues is approached, as discussed in this thesis. First????it is shown??that the self-organization of financial markets is a crucial factor in the understanding of their dynamics. In fact, using an agent-based approach, it is argued that financial markets??? stylized facts appear only in the self-organized state. Secondly, the thesis points out the potential of so-called big data science for financial market modeling, investigating how web-driven data can??yield a picture of??market activities:?? it has been found that web query volumes anticipate trade volumes. As a third achievement, the metrics developed here??for country competitiveness and product complexity is groundbreaking in??comparison to mainstream theories of economic growth and technological development. A key element in assessing the intangible variables determining the success of countries in the present globalized economy is represented by the diversification of the productive basket of countries. The comparison between the level of complexity of a country's productive system?? and economic indicators such as the GDP per capita discloses its hidden growth potential |
| ISBN,Price | 9783319007236 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. DATA MINING
3. Data Mining and Knowledge Discovery
4. Data-driven Science, Modeling and Theory Building
5. EBOOK
6. EBOOK - SPRINGER
7. ECONOMIC THEORY
8. Economic Theory/Quantitative Economics/Mathematical Methods
9. ECONOPHYSICS
10. GAME THEORY
11. Game Theory, Economics, Social and Behav. Sciences
12. Sociophysics
13. SYSTEM THEORY
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I06187 |
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On Shelf |
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53.
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| Title | Econophysics and Data Driven Modelling of Market Dynamics |
| Author(s) | Frederic Abergel (ed.);Hideaki Aoyama (ed.);Bikas K. Chakrabarti (ed.);Anirban Chakraborti (ed.);Ghosh, Asim |
| Publication | Cham, Springer International Publishing, 2015. |
| Description | XIII, 353 p. 116 illus : online resource |
| Abstract Note | This book presents the works and research findings of physicists, economists, mathematicians, statisticians, and financial engineers who have undertaken data-driven modelling of market dynamics and other empirical studies in the field of Econophysics. During recent decades, the financial market landscape has changed dramatically with the deregulation of markets and the growing complexity of products. The ever-increasing speed and decreasing costs of computational power and networks have led to the emergence of huge databases. The availability of these data should permit the development of models that are better founded empirically, and econophysicists have accordingly been advocating that one should rely primarily on the empirical observations in order to construct models and validate them. The recent turmoil in financial markets and the 2008 crash appear to offer a strong rationale for new models and approaches. The Econophysics community accordingly has an important future role to play in market modelling. The Econophys-Kolkata VIII conference proceedings are devoted to the presentation of many such modelling efforts and address recent developments. A number of leading researchers from across the globe report on their recent work, comment on the latest issues, and review the contemporary literature |
| ISBN,Price | 9783319084732 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. COMPLEXITY
3. COMPUTATIONAL COMPLEXITY
4. Data-driven Science, Modeling and Theory Building
5. EBOOK
6. EBOOK - SPRINGER
7. ECONOMIC THEORY
8. Economic Theory/Quantitative Economics/Mathematical Methods
9. ECONOPHYSICS
10. GAME THEORY
11. Game Theory, Economics, Social and Behav. Sciences
12. Sociophysics
13. SYSTEM THEORY
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I06087 |
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On Shelf |
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54.
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| Title | Models of Science Dynamics : Encounters Between Complexity Theory and Information Sciences |
| Author(s) | Scharnhorst, Andrea;B??rner, Katy;van den Besselaar, Peter |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2012. |
| Description | XXX, 270 p : online resource |
| Abstract Note | Models of science dynamics aim to capture the structure and evolution of science. They are developed in an emerging research area in which scholars, scientific institutions and scientific communications become themselves basic objects of research. In order to understand phenomena as diverse as the structure of evolving co-authorship networks or citation diffusion patterns, different models have been developed. They include conceptual models based on historical and ethnographic observations, mathematical descriptions of measurable phenomena, and computational algorithms. Despite its evident importance, the mathematical modeling of science still lacks a unifying framework and a comprehensive research agenda. This book aims to fill this gap, reviewing and describing major threads in the mathematical modeling of science dynamics for a wider academic and professional audience. The model classes presented here cover stochastic and statistical models, game-theoretic approaches, agent-based simulations, population-dynamics models, and complex network models. The book starts with a foundational chapter that defines and operationalizes terminology used in the study of science, and a review chapter that discusses the history of mathematical approaches to modeling science from an algorithmic-historiography perspective. It concludes with a survey of future challenges for science modeling and discusses their relevance for science policy and science policy studies |
| ISBN,Price | 9783642230684 |
| Keyword(s) | 1. APPLICATION SOFTWARE
2. COMPLEXITY
3. COMPUTATIONAL COMPLEXITY
4. Data-driven Science, Modeling and Theory Building
5. EBOOK
6. EBOOK - SPRINGER
7. ECONOPHYSICS
8. Information Systems Applications (incl. Internet)
9. Methodology of the Social Sciences
10. SOCIAL SCIENCES
11. Sociophysics
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I06006 |
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On Shelf |
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55.
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| Title | Stochastic Foundations in Movement Ecology : Anomalous Diffusion, Front Propagation and Random Searches |
| Author(s) | M??ndez, Vicen??;Campos, Daniel;Bartumeus, Frederic |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2014. |
| Description | XVII, 310 p. 84 illus., 16 illus. in color : online resource |
| Abstract Note | This book presents the fundamental theory for non-standard diffusion problems in movement ecology. L??vy processes and anomalous diffusion have shown to be both powerful and useful tools for qualitatively and quantitatively describing a wide variety of spatial population ecological phenomena and dynamics, such as invasion fronts and search strategies. Adopting a self-contained, textbook-style approach, the authors provide the elements of statistical physics and stochastic processes on which the modeling of movement ecology is based and systematically introduce the physical characterization of ecological processes at the microscopic, mesoscopic and macroscopic levels. The explicit definition of these levels and their interrelations is particularly suitable to coping with the broad spectrum of space and time scales involved in bio-ecological problems. ?? Including numerous exercises (with solutions), this text is aimed at graduate students and newcomers in this field at the interface of theoretical ecology, mathematical biology and physics |
| ISBN,Price | 9783642390104 |
| Keyword(s) | 1. BIOMATHEMATICS
2. COMPLEX SYSTEMS
3. COMPLEXITY
4. COMPUTATIONAL COMPLEXITY
5. Data-driven Science, Modeling and Theory Building
6. EBOOK
7. EBOOK - SPRINGER
8. Ecology??
9. ECONOPHYSICS
10. Genetics and Population Dynamics
11. Sociophysics
12. SYSTEM THEORY
13. Theoretical Ecology/Statistics
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I05866 |
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On Shelf |
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56.
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| Title | The Second Law of Economics : Energy, Entropy, and the Origins of Wealth |
| Author(s) | K??mmel, Reiner |
| Publication | New York, NY, Springer New York, 2011. |
| Description | XX, 296 p : online resource |
| Abstract Note | Nothing happens in the world without energy conversion and entropy production. ??These fundamental natural laws are familiar to most of us when applied to the evolution of stars, biological processes, or the working of an internal combustion engine, but what about industrial economies and wealth production, or their constant companion, pollution? ??Does economics conform to the First and the Second?? Law of Thermodynamics??? In this important book, Reiner K??mmel takes us on a fascinating tour of these laws and their influence on natural, technological, and social evolution.?? Analyzing economic growth in Germany, Japan, and the United States in light of technological constraints on capital, labor, and energy, Professor K??mmel upends conventional economic wisdom by showing that the?? productive power of energy far outweighs its small share of costs, while for labor just the opposite is true. ??Wealth creation by energy conversion is accompanied and limited by polluting emissions that are coupled to entropy production.???? These facts constitute the Second Law of Economics. They take on unprecedented?? importance in a world that is facing peak oil, debt-driven economic turmoil, and threats from pollution and climate change.?? They complement the First Law of Economics: Wealth is allocated on markets, and the legal framework determines the outcome.?? By applying the First and Second Law we understand the true origins of wealth production, the issues that imperil the goal of sustainable development, and the technological options that are compatible both with this goal and with natural laws. ??The critical role of energy?? and entropy in the productive sectors of the economy must be realized if we are to create a road map that avoids a Dark Age of shrinking natural resources, environmental degradation, and increasing social tensions |
| ISBN,Price | 9781441993656 |
| Keyword(s) | 1. Data-driven Science, Modeling and Theory Building
2. EBOOK
3. EBOOK - SPRINGER
4. ECONOPHYSICS
5. Energy and state
6. Energy policy
7. Energy Policy, Economics and Management
8. Environmental economics
9. Sociophysics
10. Sustainable development
11. THERMODYNAMICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I05708 |
|
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On Shelf |
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