Advances in Computer Methods for Systematic Biology: Artificial Intelligence, Databases, Computer Vision

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Originating from the ARTISYST workshop, an interdisciplinary conference on the application of modern computer methods to research in systematic biology, organized by the U. of California, Davis, and held at Napa, Calif., September 1990, this volume contains 30 papers in five areas of systematic biology research that show particular promise of benefiting from modern computer techniques: expert workstations for systematics; identification; phylogenetic trees; database and geographical information systems; and machine vision. Includes the workshop report to the NSF, and an annotated bibliography. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Product Details

ISBN-13: 9780801844928
Publisher: Johns Hopkins University Press
Publication date: 3/1/1993
Pages: 574

	Preface
	Contributors
I	Artificial Intelligence
1	Automated Reasoning for Biology and Medicine	3
II	Systematic Biology and Phylogenetic Inference
2	The Goals and Methods of Systematic Biology	31
3	Phylogenetics	55
4	Randomness and Levels of Uncertainty in Phylogenetic Inference	69
5	Limitations to Accurate Molecular Phylogenies	81
6	The Reconstruction of Evolutionary Trees Using Minimal Description Length	91
III	Expert Systems, Expert Workstations, and Other Identification Tools
7	Expert Workstations: A Tool-based Approach	103
8	Principles and Problems of Identification	125
9	The NEMISYS Solution to Problems in Nematode Identification	137
10	NEMISYS: A Computer Perspective	165
11	Object-centered Representation and Fish Identification in Antarctica	181
12	Information Processing with Neural Networks	197
13	Judgment-Simulation Vector Spaces	213
IV	Database Systems
14	Taxonomic Databases: The PANDORA System	229
15	Hierarchic Taxonomic Databases	241
16	New Database Technology for Nontraditional Applications	257
17	Frame Representation and Relational Databases: Alternative Information-Management Technologies for Systematic Biology	275
18	DELTA and INTKEY	287
19	Systematic Databases: The BAOBAB Design and the ALICE System	297
20	MICRO-IS: A Microbiological Database Management and Analysis System	313
21	Applications of Artificial Intelligence to Extracting and Refining Locality Information	329
22	The Use of Geographic Information Systems in Systematic Biology	341
V	Computer Vision and Feature Extraction
23	Introduction to Digital Image Processing and Computer Vision	353
24	Computer Vision Needs in Systematic Biology	365
25	Feature Extraction in Systematic Biology	375
26	MorphoSys: An Interactive Machine Vision Program for Acquisition of Morphometric Data	393
27	Image Processing in Fungal Taxonomy and Identification	403
28	Image Analysis in Systematic Biology: Models of Expected Structure	413
29	The Automatic Design of Low-Level Image-processing Operators Using Classification and Regression Trees	435
VI	Conclusions
30	Directions for Computing Research in Systematic Biology	449
	Appendix A: Workshop Notes	459
	Bayes' Rule, Belief Networks, and Discriminant Analysis	459
	The ASN.1 Data-Exchange Standard	465
	Computer Products	473
	Annotated Bibliography	477
	Appendix B: Report to the National Science Foundation	485
	Glossary	507
	References	521
	Index	549

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