Modeling Evolution of Heterogeneous Populations Book

Modeling Evolution of Heterogeneous Populations


  • Author : Irina Kareva
  • Publisher : Academic Press
  • Release Date : 2019-10-16
  • Genre: Mathematics
  • Pages : 354
  • ISBN 10 : 9780128144329

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Modeling Evolution of Heterogeneous Populations Excerpt :

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 Book

Modeling Evolution of Heterogenous Populations


  • Author : Irina Kareva
  • Publisher : Academic Press
  • Release Date : 2019-09-15
  • Genre: Mathematics
  • Pages : 300
  • ISBN 10 : 0128143681

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Modeling Evolution of Heterogenous Populations Excerpt :

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 Book

Introduction to Modeling for Biosciences


  • Author : David J. Barnes
  • Publisher : Springer Science & Business Media
  • Release Date : 2010-07-23
  • Genre: Computers
  • Pages : 322
  • ISBN 10 : 9781849963268

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Introduction to Modeling for Biosciences Excerpt :

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

Artificial Life VII Book

Artificial Life VII


  • Author : Mark A. Bedau
  • Publisher : MIT Press
  • Release Date : 2000-08-01
  • Genre: Computers
  • Pages : 584
  • ISBN 10 : 026252290X

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Artificial Life VII Excerpt :

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.

Computational Modeling of Biological Systems Book

Computational Modeling of Biological Systems


  • Author : Nikolay V Dokholyan
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-02-10
  • Genre: Science
  • Pages : 366
  • ISBN 10 : 9781461421467

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Computational Modeling of Biological Systems Excerpt :

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.

The Evolutionary Emergence of Language Book

The Evolutionary Emergence of Language


  • Author : Chris Knight
  • Publisher : Cambridge University Press
  • Release Date : 2000-11-20
  • Genre: Language Arts & Disciplines
  • Pages : 444
  • ISBN 10 : 0521786967

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The Evolutionary Emergence of Language Excerpt :

This book covers the origins of language, combining social and natural science perspectives.

Agent Based Computational Modelling Book
Score: 4
From 1 Ratings

Agent Based Computational Modelling


  • Author : Francesco C. Billari
  • Publisher : Taylor & Francis
  • Release Date : 2006-03-13
  • Genre: Business & Economics
  • Pages : 684
  • ISBN 10 : 379081640X

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Agent Based Computational Modelling Excerpt :

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 Book

Genetic and Evolutionary Computing


  • Author : Jeng-Shyang Pan
  • Publisher : Springer
  • Release Date : 2019-05-11
  • Genre: Technology & Engineering
  • Pages : 745
  • ISBN 10 : 9789811358418

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Genetic and Evolutionary Computing Excerpt :

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 Book

Heterogeneous Agent Modeling


  • Author : Cars Hommes
  • Publisher : Elsevier
  • Release Date : 2018-06-27
  • Genre: Business & Economics
  • Pages : 834
  • ISBN 10 : 9780444641328

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Heterogeneous Agent Modeling Excerpt :

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

Guide to Simulation and Modeling for Biosciences Book

Guide to Simulation and Modeling for Biosciences


  • Author : David J. Barnes
  • Publisher : Springer
  • Release Date : 2015-09-01
  • Genre: Computers
  • Pages : 339
  • ISBN 10 : 9781447167624

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Guide to Simulation and Modeling for Biosciences Excerpt :

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.

Advances in the Evolutionary Synthesis of Intelligent Agents Book

Advances in the Evolutionary Synthesis of Intelligent Agents


  • Author : Mukesh Patel
  • Publisher : MIT Press
  • Release Date : 2001
  • Genre: Computers
  • Pages : 510
  • ISBN 10 : 0262162016

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Advances in the Evolutionary Synthesis of Intelligent Agents Excerpt :

This book explores a central issue in artificial intelligence, cognitive science, and artificial life: how to design information structures and processes that create and adapt intelligent agents through evolution and learning. Among the first uses of the computer was the development of programs to model perception, reasoning, learning, and evolution. Further developments resulted in computers and programs that exhibit aspects of intelligent behavior. The field of artificial intelligence is based on the premise that thought processes can be computationally modeled. Computational molecular biology brought a similar approach to the study of living systems. In both cases, hypotheses concerning the structure, function, and evolution of cognitive systems (natural as well as synthetic) take the form of computer programs that store, organize, manipulate, and use information. Systems whose information processing structures are fully programmed are difficult to design for all but the simplest applications. Real-world environments call for systems that are able to modify their behavior by changing their information processing structures. Cognitive and information structures and processes, embodied in living systems, display many effective designs for biological intelligent agents. They are also a source of ideas for designing artificial intelligent agents. This book explores a central issue in artificial intelligence, cognitive science, and artificial life: how to design information structures and processes that create and adapt intelligent agents through evolution and learning. The book is organized around four topics: the power of evolution to determine effective solutions to complex tasks, mechanisms to make evolutionary design scalable, the use of evolutionary search in conjunction with local learning algorithms, and the extension of evolutionary search in novel directions.

Game Theoretical Models in Biology Book

Game Theoretical Models in Biology


  • Author : Mark Broom
  • Publisher : CRC Press
  • Release Date : 2013-03-27
  • Genre: Mathematics
  • Pages : 522
  • ISBN 10 : 9781439853214

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Game Theoretical Models in Biology Excerpt :

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 Book

Disease Evolution


  • Author : Zhilan Feng
  • Publisher : American Mathematical Soc.
  • Release Date : 2022-12-02
  • Genre: Mathematics
  • Pages : 264
  • ISBN 10 : 0821885855

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Disease Evolution Excerpt :

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 Book

Handbook of Financial Markets Dynamics and Evolution


  • Author : Thorsten Hens
  • Publisher : Elsevier
  • Release Date : 2009-06-12
  • Genre: Business & Economics
  • Pages : 608
  • ISBN 10 : 0080921434

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Handbook of Financial Markets Dynamics and Evolution Excerpt :

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 Book

Bio Inspired Models of Network Information and Computing Systems


  • Author : Junichi Suzuki
  • Publisher : Springer
  • Release Date : 2012-07-25
  • Genre: Computers
  • Pages : 695
  • ISBN 10 : 9783642326158

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Bio Inspired Models of Network Information and Computing Systems Excerpt :

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.