Modeling Evolution Of Heterogenous Populations

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Modeling Evolution of Heterogeneous Populations

Modeling Evolution of Heterogeneous Populations
  • Author : Irina Kareva,Georgy Karev
  • Publisher : Academic Press
  • Release Date : 2019-10-16
  • Total pages : 354
  • ISBN : 9780128144329
  • File Size : 37,7 Mb
  • Total Download : 922
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Modeling Evolution of Heterogeneous Populations: Theory and Applications describes, develops and provides applications of a method that allows incorporating population heterogeneity into systems of ordinary and discrete differential equations without significantly increasing system dimensionality. The method additionally allows making use of results of bifurcation analysis performed on simplified homogeneous systems, thereby building on the existing body of tools and knowledge and expanding applicability and predictive power of many mathematical models. Introduces Hidden Keystone Variable (HKV) method, which allows modeling evolution of heterogenous populations, while reducing multi-dimensional selection systems to low-dimensional systems of differential equations Demonstrates that replicator dynamics is governed by the principle of maximal relative entropy that can be derived from the dynamics of selection systems instead of being postulated Discusses mechanisms behind models of both Darwinian and non-Darwinian selection Provides examples of applications to various fields, including cancer growth, global demography, population extinction, tragedy of the commons and resource sustainability, among others Helps inform differences in underlying mechanisms of population growth from experimental observations, taking one from experiment to theory and back

Modeling Evolution of Heterogenous Populations

Modeling Evolution of Heterogenous Populations
  • Author : Irina Kareva,Georgy Karev
  • Publisher : Academic Press
  • Release Date : 2019-09-15
  • Total pages : 300
  • ISBN : 0128143681
  • File Size : 45,7 Mb
  • Total Download : 795
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Modeling Evolution of Heterogenous Populations: Theory and Applications seeks to address the gap that exists in the science, thus helping biological scientists model the evolution of heterogenous populations and visualize evolutionary trajectories. In a vast majority of conceptual, and often even descriptive mathematical models of population dynamics, whether it be predator-prey type models, spread of infectious diseases, or tumor growth, population homogeneity is the first assumption made. As natural selection and evolution cannot act on any population that is not genetically heterogeneous, this book tries to sew these realms together. Includes an introductory primer on mathematical modeling, with ordinary differential equations for biological systems Provides worked examples of applications to various systems of differential equations Helps interpret results and model modifications that can be translated to a variety of interests

Introduction to Modeling for Biosciences

Introduction to Modeling for Biosciences
  • Author : David J. Barnes,Dominique Chu
  • Publisher : Springer Science & Business Media
  • Release Date : 2010-07-23
  • Total pages : 322
  • ISBN : 9781849963268
  • File Size : 12,6 Mb
  • Total Download : 363
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Mathematical modeling can be a useful tool for researchers in the biological scientists. Yet in biological modeling there is no one modeling technique that is suitable for all problems. Instead, different problems call for different approaches. Furthermore, it can be helpful to analyze the same system using a variety of approaches, to be able to exploit the advantages and drawbacks of each. In practice, it is often unclear which modeling approaches will be most suitable for a particular biological question, a problem which requires researchers to know a reasonable amount about a number of techniques, rather than become experts on a single one. "Introduction to Modeling for Biosciences" addresses this issue by presenting a broad overview of the most important techniques used to model biological systems. In addition to providing an introduction into the use of a wide range of software tools and modeling environments, this helpful text/reference describes the constraints and difficulties that each modeling technique presents in practice, enabling the researcher to quickly determine which software package would be most useful for their particular problem. Topics and features: introduces a basic array of techniques to formulate models of biological systems, and to solve them; intersperses the text with exercises throughout the book; includes practical introductions to the Maxima computer algebra system, the PRISM model checker, and the Repast Simphony agent modeling environment; discusses agent-based models, stochastic modeling techniques, differential equations and Gillespie’s stochastic simulation algorithm; contains appendices on Repast batch running, rules of differentiation and integration, Maxima and PRISM notation, and some additional mathematical concepts; supplies source code for many of the example models discussed, at the associated website http://www.cs.kent.ac.uk/imb/. This unique and practical guide leads the novice modeler through realistic and concrete modeling projects, highlighting and commenting on the process of abstracting the real system into a model. Students and active researchers in the biosciences will also benefit from the discussions of the high-quality, tried-and-tested modeling tools described in the book. Dr. David J. Barnes is a lecturer in computer science at the University of Kent, UK, with a strong background in the teaching of programming. Dr. Dominique Chu is a lecturer in computer science at the University of Kent, UK. He is an internationally recognized expert in agent-based modeling, and has also in-depth research experience in stochastic and differential equation based modeling.

Computational Modeling of Biological Systems

Computational Modeling of Biological Systems
  • Author : Nikolay V Dokholyan
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-02-10
  • Total pages : 366
  • ISBN : 9781461421467
  • File Size : 28,8 Mb
  • Total Download : 140
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Computational modeling is emerging as a powerful new approach to study and manipulate biological systems. Multiple methods have been developed to model, visualize, and rationally alter systems at various length scales, starting from molecular modeling and design at atomic resolution to cellular pathways modeling and analysis. Higher time and length scale processes, such as molecular evolution, have also greatly benefited from new breeds of computational approaches. This book provides an overview of the established computational methods used for modeling biologically and medically relevant systems.

Agent-Based Computational Modelling

Agent-Based Computational Modelling
  • Author : Francesco C. Billari,Thomas Fent,Alexia Prskawetz,Jürgen Scheffran
  • Publisher : Taylor & Francis
  • Release Date : 2006-03-13
  • Total pages : 684
  • ISBN : 379081640X
  • File Size : 38,9 Mb
  • Total Download : 467
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The present book describes the methodology to set up agent-based models and to study emerging patterns in complex adaptive systems resulting from multi-agent interaction. It offers the application of agent-based models in demography, social and economic sciences and environmental sciences. Examples include population dynamics, evolution of social norms, communication structures, patterns in eco-systems and socio-biology, natural resource management, spread of diseases and development processes. It presents and combines different approaches how to implement agent-based computational models and tools in an integrative manner that can be extended to other cases.

Genetic and Evolutionary Computing

Genetic and Evolutionary Computing
  • Author : Jeng-Shyang Pan,Jerry Chun-Wei Lin,Bixia Sui,Shih-Pang Tseng
  • Publisher : Springer
  • Release Date : 2019-05-11
  • Total pages : 745
  • ISBN : 9789811358418
  • File Size : 17,9 Mb
  • Total Download : 404
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This volume of Advances in Intelligent Systems and Computing highlights papers presented at the 12th International Conference on Genetic and Evolutionary Computing (ICGEC 2018). Held from 14 to 17 December 2018 in Changzhou, Jiangsu, China, the conference was co-sponsored by Springer, Changzhou College of Information Technology, Fujian Provincial Key Lab of Big Data Mining and Applications, Fujian University of Technology, National Demonstration Center for Experimental Electronic Information and Electrical Technology Education, Fujian University of Technology, Tajen University, National University of Kaohsiung, and Shandong University of Science and Technology, China. The conference is intended as an international forum for the researchers and professionals in all areas of genetic and evolutionary computing.

Heterogeneous Agent Modeling

Heterogeneous Agent Modeling
  • Author : Cars Hommes,Blake LeBaron
  • Publisher : Elsevier
  • Release Date : 2018-06-27
  • Total pages : 834
  • ISBN : 9780444641328
  • File Size : 36,7 Mb
  • Total Download : 749
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Handbook of Computational Economics: Heterogeneous Agent Modeling, Volume Four, focuses on heterogeneous agent models, emphasizing recent advances in macroeconomics (including DSGE), finance, empirical validation and experiments, networks and related applications. Capturing the advances made since the publication of Volume Two (Tesfatsion & Judd, 2006), it provides high-level literature with sections devoted to Macroeconomics, Finance, Empirical Validation and Experiments, Networks, and other applications, including Innovation Diffusion in Heterogeneous Populations, Market Design and Electricity Markets, and a final section on Perspectives on Heterogeneity. Helps readers fully understand the dynamic properties of realistically rendered economic systems Emphasizes detailed specifications of structural conditions, institutional arrangements and behavioral dispositions Provides broad assessments that can lead researchers to recognize new synergies and opportunities

Artificial Life VII

Artificial Life VII
  • Author : Mark A. Bedau,John S. McCaskill,Norman H. Packard,Steen Rasmussen
  • Publisher : MIT Press
  • Release Date : 2000-08-01
  • Total pages : 584
  • ISBN : 026252290X
  • File Size : 32,5 Mb
  • Total Download : 799
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The term "artificial life" describes research into synthetic systems that possess some of the essential properties of life. This interdisciplinary field includes biologists, computer scientists, physicists, chemists, geneticists, and others. Artificial life may be viewed as an attempt to understand high-level behavior from low-level rules—for example, how the simple interactions between ants and their environment lead to complex trail-following behavior. An understanding of such relationships in particular systems can suggest novel solutions to complex real-world problems such as disease prevention, stock-market prediction, and data mining on the Internet. Since their inception in 1987, the Artificial Life meetings have grown from small workshops to truly international conferences, reflecting the field's increasing appeal to researchers in all areas of science.

Guide to Simulation and Modeling for Biosciences

Guide to Simulation and Modeling for Biosciences
  • Author : David J. Barnes,Dominique Chu
  • Publisher : Springer
  • Release Date : 2015-09-01
  • Total pages : 339
  • ISBN : 9781447167624
  • File Size : 14,8 Mb
  • Total Download : 554
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This accessible text presents a detailed introduction to the use of a wide range of software tools and modeling environments for use in the biosciences, as well as the fundamental mathematical background. The practical constraints presented by each modeling technique are described in detail, enabling the researcher to determine which software package would be most useful for a particular problem. Features: introduces a basic array of techniques to formulate models of biological systems, and to solve them; discusses agent-based models, stochastic modeling techniques, differential equations, spatial simulations, and Gillespie’s stochastic simulation algorithm; provides exercises; describes such useful tools as the Maxima algebra system, the PRISM model checker, and the modeling environments Repast Simphony and Smoldyn; contains appendices on rules of differentiation and integration, Maxima and PRISM notation, and some additional mathematical concepts; offers supplementary material at an associated website.

Game-Theoretical Models in Biology

Game-Theoretical Models in Biology
  • Author : Mark Broom,Jan Rychtar
  • Publisher : CRC Press
  • Release Date : 2013-03-27
  • Total pages : 522
  • ISBN : 9781439853214
  • File Size : 44,8 Mb
  • Total Download : 805
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Covering the major topics of evolutionary game theory, Game-Theoretical Models in Biology presents both abstract and practical mathematical models of real biological situations. It discusses the static aspects of game theory in a mathematically rigorous way that is appealing to mathematicians. In addition, the authors explore many applications of game theory to biology, making the text useful to biologists as well. The book describes a wide range of topics in evolutionary games, including matrix games, replicator dynamics, the hawk-dove game, and the prisoner’s dilemma. It covers the evolutionarily stable strategy, a key concept in biological games, and offers in-depth details of the mathematical models. Most chapters illustrate how to use MATLAB® to solve various games. Important biological phenomena, such as the sex ratio of so many species being close to a half, the evolution of cooperative behavior, and the existence of adornments (for example, the peacock’s tail), have been explained using ideas underpinned by game theoretical modeling. Suitable for readers studying and working at the interface of mathematics and the life sciences, this book shows how evolutionary game theory is used in the modeling of these diverse biological phenomena.

Disease Evolution

Disease Evolution
  • Author : Zhilan Feng,Ulf Dieckmann,Simon A. Levin
  • Publisher : American Mathematical Soc.
  • Release Date : 2023
  • Total pages : 264
  • ISBN : 0821885855
  • File Size : 41,9 Mb
  • Total Download : 559
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Infectious diseases are continuing to threaten humankind. While some diseases have been controlled, new diseases are constantly appearing. Others are now reappearing in forms that are resistant to drug treatments. A capacity for continual re-adaptation furnishes pathogens with the power to escape our control efforts through evolution. This makes it imperative to understand the complex selection pressures that are shaping and reshaping diseases. Modern models of evolutionaryepidemiology provide powerful tools for creating, expressing, and testing such understanding. Bringing together international leaders in the field, this volume offers a panoramic tour of topical developments in understanding the mechanisms of disease evolution. The volume's first part elucidates the generalconcepts underlying models of disease evolution. Methodological challenges addressed include those posed by spatial structure, stochastic dynamics, disease phases and classes, single- and multi-drug resistance, the heterogeneity of host populations and tissues, and the intricate coupling of disease evolution with between-host and within-host dynamics. The book's second part shows how these methods are utilized for investigating the dynamics and evolution of specific diseases, includingHIV/AIDS, tuberculosis, SARS, malaria, and human rhinovirus infections. This volume is particularly suited for introducing young scientists and established researchers with backgrounds in mathematics, computer science, or biology to the current techniques and challenges of mathematical evolutionaryepidemiology.

Handbook of Financial Markets: Dynamics and Evolution

Handbook of Financial Markets: Dynamics and Evolution
  • Author : Thorsten Hens,Klaus Reiner Schenk-Hoppe
  • Publisher : Elsevier
  • Release Date : 2009-06-12
  • Total pages : 608
  • ISBN : 0080921434
  • File Size : 24,5 Mb
  • Total Download : 571
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The models of portfolio selection and asset price dynamics in this volume seek to explain the market dynamics of asset prices. Presenting a range of analytical, empirical, and numerical techniques as well as several different modeling approaches, the authors depict the state of debate on the market selection hypothesis. By explicitly assuming the heterogeneity of investors, they present models that are descriptive and normative as well, making the volume useful for both finance theorists and financial practitioners. * Explains the market dynamics of asset prices, offering insights about asset management approaches * Assumes a heterogeneity of investors that yields descriptive and normative models of portfolio selections and asset pricing dynamics

Bio-Inspired Models of Network, Information, and Computing Systems

Bio-Inspired Models of Network, Information, and Computing Systems
  • Author : Junichi Suzuki,Tadashi Nakano
  • Publisher : Springer
  • Release Date : 2012-07-25
  • Total pages : 695
  • ISBN : 9783642326158
  • File Size : 36,8 Mb
  • Total Download : 928
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This book constitutes the thoroughly refereed post-conference proceedings of the 5th International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems (BIONETICS 2010) which was held in Boston, USA, in December 2010. The 78 revised full papers were carefully reviewed and selected from numerous submissions for inclusion in the proceedings. BIONETICS 2010 aimed to provide the understanding of the fundamental principles and design strategies in biological systems and leverage those understandings to build bio-inspired systems.

Social, Cultural, and Behavioral Modeling

Social, Cultural, and Behavioral Modeling
  • Author : Dongwon Lee,Yu-Ru Lin,Nathaniel Osgood,Robert Thomson
  • Publisher : Springer
  • Release Date : 2017-06-26
  • Total pages : 358
  • ISBN : 9783319602400
  • File Size : 36,9 Mb
  • Total Download : 159
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This book constitutes the refereed proceedings of the 10th International Conference on Social, Cultural, and Behavioral Modeling & Prediction and Behavior Representation in Modeling and Simulation, SBP-BRiMS 2017, held in Washington, DC, USA, in July 2017. The 16 full papers and 27 short papers presented were carefully reviewed and selected from 79 submissions. Owing to its strong multi-disciplinary heritage, the papers represent a large range of disciplines including computer science, psychology, sociology, communication science, public health, bioinformatics, political science, and organizational science and use numerous types of computational methods such as machine learning, language technology, social network analysis and visualization, agent-based simulation, and statistics. They are organized in the following topical sections: behavioral and social sciences; cyber and intelligence applications; information, systems, and network sciences; and methodology.

Extensions of Markov Models of Social Mobility to Heterogeneous Populations

Extensions of Markov Models of Social Mobility to Heterogeneous Populations
  • Author : Burton Singer,Seymour Spillerman
  • Publisher : Unknown
  • Release Date : 1973
  • Total pages : 152
  • ISBN : UOM:39015041361711
  • File Size : 20,5 Mb
  • Total Download : 338
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PDF book entitled Extensions of Markov Models of Social Mobility to Heterogeneous Populations written by Burton Singer,Seymour Spillerman and published by Unknown which was released on 1973 with total hardcover pages 152, the book become popular and critical acclaim.

A Unified Model of Cohort Mortality for Economic Analysis

A Unified Model of Cohort Mortality for Economic Analysis
  • Author : Adriana Lleras-Muney,Flavien Moreau
  • Publisher : International Monetary Fund
  • Release Date : 2021-02-12
  • Total pages : 67
  • ISBN : 9781513569499
  • File Size : 9,6 Mb
  • Total Download : 668
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We propose a dynamic production function of population health and mortality from birth onwards. Our parsimonious model provides an excellent fit for the mortality and survival curves for both primate and human populations since 1816. The model sheds light on the dynamics behind many phenomena documented in the literature, including (i) the existence and evolution of mortality gradients across socio-economic statuses, (ii) non-monotonic dynamic effects of in-utero shocks, (iii) persistent or “scarring” effects of wars and (iv) mortality displacement after large temporary shocks such as extreme weather.

Old Questions and Young Approaches to Animal Evolution

Old Questions and Young Approaches to Animal Evolution
  • Author : José M. Martín-Durán,Bruno C. Vellutini
  • Publisher : Springer
  • Release Date : 2019-07-22
  • Total pages : 284
  • ISBN : 9783030182021
  • File Size : 19,5 Mb
  • Total Download : 282
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Animal evolution has always been at the core of Biology, but even today many fundamental questions remain open. The field of animal ‘evo-devo’ is leveraging recent technical and conceptual advances in development, paleontology, genomics and transcriptomics to propose radically different answers to traditional evolutionary controversies. This book is divided into four parts, each of which approaches animal evolution from a different perspective. The first part (chapters 2 and 3) investigates how new sources of evidence have changed conventional views of animal origins, while the second (chapters 4–8) addresses the connection between embryogenesis and evolution, and the genesis of cellular, tissue and morphological diversity. The third part (chapters 9 and 10) investigates how big data in molecular biology is transforming our understanding of the mechanisms governing morphological change in animals. In closing, the fourth part (chapters 11–13) explores new theoretical and conceptual approaches to animal evolution. ‘Old questions and young approaches to animal evolution’ offers a comprehensive and updated view of animal evolutionary biology that will serve both as a first step into this fascinating field for students and university educators, and as a review of complementary approaches for researchers.

Statistical Physics and Computational Methods for Evolutionary Game Theory

Statistical Physics and Computational Methods for Evolutionary Game Theory
  • Author : Marco Alberto Javarone
  • Publisher : Springer
  • Release Date : 2018-01-11
  • Total pages : 74
  • ISBN : 9783319702056
  • File Size : 23,5 Mb
  • Total Download : 757
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This book presents an introduction to Evolutionary Game Theory (EGT) which is an emerging field in the area of complex systems attracting the attention of researchers from disparate scientific communities. EGT allows one to represent and study several complex phenomena, such as the emergence of cooperation in social systems, the role of conformity in shaping the equilibrium of a population, and the dynamics in biological and ecological systems.Since EGT models belong to the area of complex systems, statistical physics constitutes a fundamental ingredient for investigating their behavior. At the same time, the complexity of some EGT models, such as those realized by means of agent-based methods, often require the implementation of numerical simulations. Therefore, beyond providing an introduction to EGT, this book gives a brief overview of the main statistical physics tools (such as phase transitions and the Ising model) and computational strategies for simulating evolutionary games (such as Monte Carlo algorithms on lattices). This book will appeal to students and researchers in this burgeoning field of complex systems.

Algorithms and Models for the Web Graph

Algorithms and Models for the Web Graph
  • Author : Anthony Bonato,Fan Chung Graham,Paweł Prałat
  • Publisher : Springer
  • Release Date : 2016-11-10
  • Total pages : 165
  • ISBN : 9783319497877
  • File Size : 38,8 Mb
  • Total Download : 435
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This book constitutes the proceedings of the 13th International Workshop on Algorithms and Models for the Web Graph, WAW 2016, held in Montreal, QC, Canada, in December 2016. The 13 full papers presented in this volume were carefully reviewed and selected from 14 submissions. The workshop gathered the researchers who are working on graph-theoretic and algorithmic aspects of related complex networks, including social networks, citation networks, biological networks, molecular networks, and other networks arising from the Internet.

Social, Cultural, and Behavioral Modeling

Social, Cultural, and Behavioral Modeling
  • Author : Robert Thomson,Christopher Dancy,Ayaz Hyder,Halil Bisgin
  • Publisher : Springer
  • Release Date : 2018-07-02
  • Total pages : 410
  • ISBN : 9783319933726
  • File Size : 16,8 Mb
  • Total Download : 636
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This book constitutes the proceedings of the 11th International Conference on Social, Cultural, and Behavioral Modeling, SBP-BRiMS 2018, held in Washington, DC, USA, in July 2018. The total of 27 short and 18 full papers presented in this volume was carefully reviewed and selected from 85 submissions. The contributions were organized in topical sections named: advances in sociocultural and behavioral process modeling; information, systems, and network science; applications for health and well-being; military and intelligence applications; cybersecurity.

Mathematical Models for Communicable Diseases

Mathematical Models for Communicable Diseases
  • Author : Fred Brauer,Carlos Castillo-Chavez
  • Publisher : SIAM
  • Release Date : 2013-02-07
  • Total pages : 279
  • ISBN : 9781611972412
  • File Size : 14,6 Mb
  • Total Download : 166
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A self-contained and comprehensive guide to the mathematical modeling of disease transmission, appropriate for graduate students.