The informational nature of biological organization, at levels from the genetic and epigenetic to the cognitive and linguistic. Information shapes biological organization in fundamental ways and at every organizational level. Because organisms use information—including DNA codes, gene expression, and chemical signaling—to construct, maintain, repair, and replicate themselves, it would seem only natural to use information-related ideas in our attempts to understand the general nature of living systems, the causality by which they operate, the difference between living and inanimate matter, and the emergence, in some biological species, of cognition, emotion, and language. And yet philosophers and scientists have been slow to do so. This volume fills that gap. Information and Living Systems offers a collection of original chapters in which scientists and philosophers discuss the informational nature of biological organization at levels ranging from the genetic to the cognitive and linguistic. The chapters examine not only familiar information-related ideas intrinsic to the biological sciences but also broader information-theoretic perspectives used to interpret their significance. The contributors represent a range of disciplines, including anthropology, biology, chemistry, cognitive science, information theory, philosophy, psychology, and systems theory, thus demonstrating the deeply interdisciplinary nature of the volume's bioinformational theme.
Presents an innovative view of the interrelationships of psychological, biological, and social phenomena, synthesizing the latest alternative theories of evolution and physics
The first volume to integrate life's biological, cognitive, social, and ecological dimensions into a single, coherent framework.
Understanding Living Systems presents an integrated approach covering mathematics, physics, computer science, biology and medicine. Modelling approaches to living systems range between a top-down (differential equations) and a bottom-up (agent-based) models. Recently, computational modelling has been proposed as an intermediate level approach. This promising approach needs further improvements in order to deal in particular with the modularity of the representation of complex interactions. For that purpose, the authors present a new framework based on Higher Order Category Theory allowing modelling the physiological, pathological and repaired structure dynamics and evolution of living systems via a Categorification Modelling Approach: dynamics as modifications of structure, and evolution as modifications of dynamics. In the novel approach presented in Understanding Living Systems, the physiological structure is modelled at the level of n-categories (n-categories, n-functors, n-natural transformations, n-adjunctions etc.), the dynamics is modelled at the level of (n+h)-categories, and the evolution is modelled at the level of (n+h+k)categories. The pathological structure is modelled at the level of n-categories (n+n')-categories, the pathological repaired dynamics is modelled at the level of (n+n' + h+h')-categories and the pathological evolution is modelled at the level of (n+n' + h+ h' + k+k')-categories. The repaired structure is modelled at the level of n-categories (n+n'+n”)-categories, the repaired dynamics is modelled at the level of (n+n'+n” + h+h'+h”)-categories and the repaired evolution is modelled at the level of (n+n'+n” + h+h'+h” + k+k'+k”)categories. This new approach advances the field of computational modeling for biomedical engineers, computer scientists, physicians, and mathematical researchers. Presents the principles and methods of modelling living systems to provide a solid foundation for understanding the field Discusses symmetries and categorical modelling in fields such molecular biology, genetics and epigenetics, homeostatis and immune response, as well as the biomedical engineering applications of the models in these various areas Provides complete coverage of biomedical interaction networks in fields such as Psycho-Neuro-Endocrine-Immune interactions, neurons and brain categorical interactions, as well as natural and enatural interatcions, along with the biomedical engineering applications of the models in these various areas
Information processing and information flow occur in the course of an organism's development and throughout its lifespan. Organisms do not exist in isolation, but interact with each other constantly within a complex ecosystem. The relationships between organisms, such as those between prey or predator, host and parasite, and between mating partners, are complex and multidimensional. In all cases, there is constant communication and information flow at many levels. This book focuses on information processing by life forms and the use of information technology in understanding them. Readers are first given a comprehensive overview of biocomputing before navigating the complex terrain of natural processing of biological information using physiological and analogous computing models. The remainder of the book deals with “artificial” processing of biological information as a human endeavor in order to derive new knowledge and gain insight into life forms and their functioning. Specific innovative applications and tools for biological discovery are provided as the link and complement to biocomputing. Since “artificial” processing of biological information is complementary to natural processing, a better understanding of the former helps us improve the latter. Consequently, readers are exposed to both domains and, when dealing with biological problems of their interest, will be better equipped to grasp relevant ideas. Contents:A Multi-Disciplinary Survey of Biocomputing: Molecular and Cellular LevelsA Multi-Disciplinary Survey of Biocomputing: Systems and Evolutionary Levels, and Technological ApplicationsModels for Complex Eukaryotic Regulatory DNA SequencesAn Algorithm for Ab Initio DNA Motif DetectionDetecting Molecular Evidence of Positive Darwinian SelectionMolecular Phylogenetic Analysis: Understanding Genome EvolutionConstructing Biological Networks of Protein–Protein InteractionsComputational Modelling of Gene Regulatory NetworksOverview of Text-Mining in Life SciencesIntegrated Prognostic Profiles: Combining Clinical and Gene Expression Information through Evolving Connectionist ApproachDatabases on Gene RegulationOn the Search of Better Validation and Statistical Methods in Microarray Data AnalysisInformation Extraction from Dynamic Biological Web SourcesComputer Aided Design of Signaling NetworksAnalysis of DNA Sequences: Hunting for GenesBiological Databases and Web Services: Metrics for Quality Readership: Researchers in academia and industry; university students at all levels in biocomputing and bioinformatics. Key Features:Contains a systematic and comprehensive survey of biocomputing not existing in the current literatureProvides a broad overview of bioinformatics with a number of novel bioinformatics applications that illustrate some of the principles of biocomputingA unique source of information on the biological/physiological background on the biological “computing” processes that are performed in living systems, including higher cognitive processesShows how some of these computing examples in biology have found their way into useful computing applications such as genetic algorithmsKeywords:Biocomputing;Bioinformatics;Computational Biology
This book examines life not from the reductionist point of view, but rather asks the questions: what are the universal properties of living systems, and how can one construct from there a phenomenological theory of life that leads naturally to complex processes such as reproductive cellular systems, evolution and differentiation? The presentation is relatively non-technical to appeal to a broad spectrum of students and researchers.
Designed for a one or two semester non-majors course in introductory biology taught at most two and four-year colleges. This course typically fulfills a general education requirement, and rather than emphasizing mastery of technical topics, it focuses on the understanding of biological ideas and concepts, how they relate to real life, and appreciating the scientific methods and thought processes. Given the authors' work in and dedication to science education, this text's writing style, pedagogy, and integrated support package are all based on classroom-tested teaching strategies and learning theory. The result is a learning program that enhances the effectiveness & efficiency of the teaching and learning experience in the introductory biology course like no other before it.
Originally published in 1987, the purpose of this companion volume to Donald Ford’s (1987) Humans as Self-Constructing Living Systems: A Developmental Perspective on Personality and Behavior was to illustrate the potential utility of the Living Systems Framework (LSF) for stimulating new theoretical advances, for guiding research on human behavior and development, and for facilitating the work of the health and human service professions. Although not exactly a "how to" manual, it does provide many concrete examples of how and when the framework can be used to guide scholarly and professional activities. It also provides a concise overview of the framework itself that can help those who have read the theoretical volume refresh their memory, and assist those who have not, in understanding the basic concepts of the LSF and in deciding whether and how the framework might be useful to them.
|Author||: Larissa S. Brizhik,Francesco Musumeci,Mae-Wan Ho|
|Publisher||: World Scientific|
|Release Date||: 2003|
|ISBN 10||: 9789812705181|
|Pages||: 371 pages|
This volume contains papers based on the workshop OC Energy and Information Transfer in Biological Systems: How Physics Could Enrich Biological UnderstandingOCO, held in Italy in 2002. The meeting was a forum aimed at evaluating the potential and outlooks of a modern physics approach to understanding and describing biological processes, especially regarding the transition from the microscopic chemical scenario to the macroscopic functional configurations of living matter. In this frame some leading researchers presented and discussed several basic topics, such as the photon interaction with biological systems also from the viewpoint of photon information processes and of possible applications; the influence of electromagnetic fields on the self-organization of biosystems including the nonlinear mechanism for energy transfer and storage; and the influence of the structure of water on the properties of biological matter."
Written for intermediate-level undergraduates pursuing any science or engineering major, Physical Models of Living Systems helps students develop many of the competencies that form the basis of the new MCAT2015. The only prerequisite is first-year physics. With the more advanced "Track-2" sections at the end of each chapter, the book can be used in graduate-level courses as well.
Concepts of Biology is designed for the single-semester introduction to biology course for non-science majors, which for many students is their only college-level science course. As such, this course represents an important opportunity for students to develop the necessary knowledge, tools, and skills to make informed decisions as they continue with their lives. Rather than being mired down with facts and vocabulary, the typical non-science major student needs information presented in a way that is easy to read and understand. Even more importantly, the content should be meaningful. Students do much better when they understand why biology is relevant to their everyday lives. For these reasons, Concepts of Biology is grounded on an evolutionary basis and includes exciting features that highlight careers in the biological sciences and everyday applications of the concepts at hand.We also strive to show the interconnectedness of topics within this extremely broad discipline. In order to meet the needs of today's instructors and students, we maintain the overall organization and coverage found in most syllabi for this course. A strength of Concepts of Biology is that instructors can customize the book, adapting it to the approach that works best in their classroom. Concepts of Biology also includes an innovative art program that incorporates critical thinking and clicker questions to help students understand--and apply--key concepts.
All living things are remarkably complex, yet their DNA is unstable, undergoing countless random mutations over generations. Despite this instability, most animals do not grow two heads or die, plants continue to thrive, and bacteria continue to divide. Robustness and Evolvability in Living Systems tackles this perplexing paradox. The book explores why genetic changes do not cause organisms to fail catastrophically and how evolution shapes organisms' robustness. Andreas Wagner looks at this problem from the ground up, starting with the alphabet of DNA, the genetic code, RNA, and protein molecules, moving on to genetic networks and embryonic development, and working his way up to whole organisms. He then develops an evolutionary explanation for robustness. Wagner shows how evolution by natural selection preferentially finds and favors robust solutions to the problems organisms face in surviving and reproducing. Such robustness, he argues, also enhances the potential for future evolutionary innovation. Wagner also argues that robustness has less to do with organisms having plenty of spare parts (the redundancy theory that has been popular) and more to do with the reality that mutations can change organisms in ways that do not substantively affect their fitness. Unparalleled in its field, this book offers the most detailed analysis available of all facets of robustness within organisms. It will appeal not only to biologists but also to engineers interested in the design of robust systems and to social scientists concerned with robustness in human communities and populations.