Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library with stamp and library-signature. GOOD condition, some traces of use. w09408 9780801844928 Sprache: Englisch Gewicht in Gramm: 1100.

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Detalles bibliogr�ficos

T�tulo

Advances in computer methods for systematic biology. Artificial intelligence, databases, computer vision : ARTISYST workshop : Papers.

Editor

Johns Hopkins University Press

Fecha de publicaci�n

1993

Idioma

Ingl�s

ISBN 10

0801844924

ISBN 13

9780801844928

Encuadernaci�n

Hardcover

Peso

1100 gramos

Cat�logos de vendedores

TG Geowissenschaften

Acerca de

Sinopsis

In this book, Renaud Fortuner brings together a group of leading authorities to explore the application of artificial intelligence and other modern computer methods to that branch of biology known as systematics - the field of study aimed at identifying and classifying organisms and reconstructing their evolutionary relationships. The book begins with an overview of artificial intelligence and its applications in biology and medicine. Subsequent chapters then focus on four main areas of computer applications to systematics: methods of phylogenetic reconstruction; identification of biological specimens through computerized "reasoning paths" known as "expert systems"; the use of databases; and machine vision, that is, the computerized recording and analysis of the physical features of organisms. The sections are prefaced by tutorial chapters presenting current problems in systematics along with possible computer solutions. Based on the 1990 AR TISYST conference sponsored by the National Science Foundation, with recommendations for future funding, the volume is both a comprehensive treatmetn of state-of-the-art research in computer science and systematic biology and a practical guide for specialists in either field who are considering possible collaboration.

Cr�ticas

"A computer scientist will learn the basic ideas, methods, and requirements of systematic biology from this book. Biological scientists will discover the application of modern computer methods and software to their study area." -- Perspectives in Biology and Medicine

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