5 edition of **Towards a mathematical theory of complex biological systems** found in the catalog.

- 333 Want to read
- 9 Currently reading

Published
**2011**
by World Scientific in Singapore, Hackensack, NJ
.

Written in English

- Theoretical Models,
- Computational Biology,
- Biomathematics,
- Mathematical models,
- Wound Healing,
- Biological systems,
- Immune System,
- Physiology

**Edition Notes**

Includes bibliographical references and index.

Statement | C. Bianca, N. Bellomo |

Series | Series in mathematical biology and medicine -- v. 11, Series in mathematical biology and medicine -- v. 11. |

Contributions | Bellomo, N. |

Classifications | |
---|---|

LC Classifications | QH323.5 .B4533 2011 |

The Physical Object | |

Pagination | xvii, 208 p. : |

Number of Pages | 208 |

ID Numbers | |

Open Library | OL25074659M |

ISBN 10 | 9814340537 |

ISBN 10 | 9789814340533 |

LC Control Number | 2010043493 |

OCLC/WorldCa | 678534348 |

Complex systems biology (CSB) is a branch or subfield of mathematical and theoretical biology concerned with complexity of both structure and function in biological organisms, as well as the emergence and evolution of organisms and species, with emphasis being placed on the complex interactions of, and within, bionetworks, and on the fundamental relations and relational patterns that . This volume examines a variety of biological and medical problems using mathematical models to understand complex system dynamics. Featured topics include autism spectrum disorder, ectoparasites and allogrooming, argasid ticks dynamics, super-fast nematocyst firing, cancer-immune population dynamics, and the spread of disease through populations.

Read this book on Questia. Although physiologists have realized since the time of Claude Bernard that they deal with a collection of complex, interrelated biological regulators, the application of control-system theory to biological systems has only just begun. A fine blend of computer science, biology and information theory referring to a wide variety of cases from metabolism and genetic algorithm to the immune system and ant colonies. You will love the book if you remember that you are invited to a guided tour and not to an official organised academic lecture on complex systems and complexity theory.

Towards a theory of biological robustness. Hiroaki Kitano 1, 2, 3 Although computer simulation is a powerful technique for clarifying the complex dynamics of biological systems, it is also a useful tool for exploring the foundation of biological systems. Mathematical formulation of biological robustness. Written by leading specialists in their respective fields, this book presents an overview of recent developments in the field of mathematical kinetic theory with a focus on modeling complex systems, emphasizing both mathematical properties and their physical overall presentation covers not only modeling aspects and qualitative.

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Towards a Mathematical Theory of Complex Biological Systems (Mathematical Biology and Medicine) 1st Edition by Nicola Bellomo (Author), Carlo Bianca (Author)Cited by: Towards a Mathematical Theory of Complex Biological Systems (Series in Mathematical Biology and Medicine) C.

Bianca, N. Bellomo. This monograph has the ambitious aim of developing a mathematical theory of complex biological systems with special attention to the phenomena of ageing, degeneration and repair of biological tissues under individual self-repair actions that may have good potential in medical therapy.

Free 2-day shipping. Buy Mathematical Biology and Medicine: Towards a Mathematical Theory of Complex Biological Systems (Hardcover) at Looking for a mathematical theory of biological systems --On the complexity of biological systems --Part I: Immune system, wound healing process, and system biology --The immune system: a phenomenological overview --Wound healing process and organ repair --Front levels of biological organization to system biology --Part II: Mathematical tools --Mathematical tools and structures --Multiscale.

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Select Introduction to Philosophy of Complex Systems: A: Part A: Towards a framework for complex systems. From the point of view of modeling biological systems, it implies the need to conceptualize behavior and cognition as dynamical processes which unfold in time while the organism interacts with the environment.

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Specifically using general systems theory, complexity theory and chaos theory to anchor the study highlights the relevance of case methodology to all aspects of strategic management viz: strategic. 2. Emerging patterns in complex systems. Different areas of scientific research such as computer science, sociology, mathematics, physics, economics and biology are increasingly realizing the importance of complex systems theory, because the same design patterns and concepts are emerging in these different fields of science.

General Systems Theory was first conceived and developed in the context of biological organisms, but at a time when a living system was only vaguely understood as a kind of chemical Cartesian robot. Methods of mathematical kinetic theory have been recently developed to describe the collective behavior of large populations of interacting individuals such that their microscopic state is identified not only by a mechanical variable (typically position and velocity), but also by a biological state (or sociobiological state) related to their organized, somehow intelligent, behavior.

Written by experts in both mathematics and biology, Algebraic and Discrete Mathematical Methods for Modern Biology offers a bridge between math and biology, providing a framework for simulating, analyzing, predicting, and modulating the behavior of complex biological systems.

Each chapter begins with a question from modern biology, followed by. This book is a comprehensive introduction to quantitative approaches to complex adaptive systems. Practically all areas of life on this planet are constantly confronted with complex systems, be it ecosystems, societies, traffic, financial markets, opinion formation and spreading, or the internet and social media.

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The approach emphasizes qualitative ideas rather than explicit computations. Some technical details are. To this end, tools from modeling and control; simulation; and, in a more general way, dynamical systems theory, are essential tools to address these optimization challenges.

This Special Issue “Modelling and Optimal Design of Complex Biological Systems“ aims at collecting research studies related to these important research areas. Abstract. Complex Systems Biology approaches are here considered from the viewpoint of Robert Rosen’s (M,R)-systems, Relational Biology and Quantum theory, as well as from the standpoint of computer ability and Entailment of (M,R)-systems are two key aspects that relate the abstract, mathematical world of organizational structure introduced by Rosen to the various.biological systems.

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Each chapter begins with a question from modern biology, followed by the description of certain mathematical methods.