book announcement

[Melanie Mitchell]

Announcing a new book: 


    ADAPTIVE INDIVIDUALS IN EVOLVING POPULATIONS: MODELS AND ALGORITHMS

 	       edited by Richard K. Belew and Melanie Mitchell 

		Proceedings Volume XXVI, Santa Fe Institute Studies
			in the Sciences of Complexity

		     Addison-Wesley, Reading, MA, 1996


			ABOUT THE BOOK

The theory of evolution has been most successful explaining the
emergence of new species in terms of their morphological
traits. Ethologists teach that behaviors, too, qualify as first-class
phenotypic features, but evolutionary accounts of behaviors have been
much less satisfactory. In part this is because maturational
"programs" transforming genotype to phenotype are "open" to
environmental influences affected by behaviors. Further, many
organisms are able to continue to modify their behavior, i.e., learn,
even after fully mature. This creates an even more complex
relationship between the genotypic features underlying the mechanisms
of maturation and learning and the adapted behaviors ultimately
selected.

A meeting held at the Santa Fe Institute during the summer of 1993
brought together a small group of biologists, psychologists, and
computer scientists with shared interests in questions such as
these. This volume consists of approximately two dozen papers that
explore interacting adaptive systems from a range of interdisciplinary
perspectives. About half the articles are classic, seminal references
on the subject, ranging from biologists like Lamarck and Waddington to
psychologists like Piaget and Skinner.  The other papers represent new
work by the workshop participants. The role played by mathematical and
computational tools, both as models of natural phenomena and as
algorithms useful in their own right, is particularly emphasized in
these new papers. In all cases the chapters have been augmented by
specially written prefaces. In the case of the reprinted classics, the
prefaces help to put the older papers in a modern context. For the new
papers, the prefaces have been written by colleagues from a discipline
other than the paper's authors, and highligh, for example, what a
computer scientist can learn from a biologist's model, or vice
versa. Through these cross-disciplinary "dialogues" and a glossary
collecting multidisciplinary connotations of pivotal terms, the
process of interdisciplinary investigation itself becomes a central
theme.

			ORDERING INFORMATION  

This series is published by The Advanced Book Program, Addison-Wesley
Publishing Company, One Jacob Way, Reading, MA 01867. Please contact
your local bookstore or, for credit card orders, call Addison-Wesley
Publishing Company at (800)447-2226.

For more information on this book, visit the web page: 
	http://www.santafe.edu/sfi/publications/Bookinfo/aiineptofc.html

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    ADAPTIVE INDIVIDUALS IN EVOLVING POPULATIONS: MODELS AND ALGORITHMS

			TABLE OF CONTENTS

Chapter 1: Introduction - R. K. Belew & M. Mitchell 


			BIOLOGY

OVERVIEW

Chapter 2:	Adaptive Computation in Ecology and Evolution: A
		Guide to Future Research
		- J. Roughgarden, A. Bergman, S. Shafir, and C. Taylor 

REPRINTED CLASSICS

Chapter 3:	The Classics in Their Context, and in Ours 
		- J. Schull

Chapter 4:	Of the Influence of the Environment on the Activities 
		and Habits of Animals, and the Influence of the 
	        Activities and Habits of These Living Bodies in Modifying 
		Their Organisation and Structure 
		- J. B. Lamarck 

Chapter 5:	A New Factor in Evolution 
		- J. M. Baldwin 

Chapter 6:	On Modification and Variation 
		- C. Lloyd Morgan 

Chapter 7:	Canalization of Development and the Inheritance of 
		Acquired Characters 
		- C. H. Waddington 

Chapter 8:	The Baldwin Effect 
		- G. G. Simpson 

Chapter 9:	The Role of Somatic Change in Evolution		
		- G. Bateson 

NEW WORK

Chapter 10:	A Model of Individual Adaptive Behavior in a Fluctuating 
	        Environment 
		- L. A. Zhivotovsky, A. Bergman, and M. W. Feldman 
		(Preface by R. K. Belew)

Chapter 11:	The Baldwin Effect in the Immune System: Learning by 
	        Somatic Hypermutation 
		- R. Hightower, S. Forrest, and A. S. Perelson 
		(Preface by W. Hart)


Chapter 12:	The Effect of Memory Length on Individual Fitness in a 
	        Lizard 
		- S. Shafir and J. Roughgarden 
		(Preface by M. L. Littman and F. Menczer; 
		Appendix by F. Menczer, W. E. Hart, and M. L. Littman)

Chapter 13:	Latent Energy Environments 
		- F. Menczer and R. K. Belew
		(Preface by J. Roughgarden)


			PSYCHOLOGY

OVERVIEW

Chapter 14:	The Causes and Effects of Evolutionary Simulation in the 
	        Behavioral Sciences 
		- P. M. Todd 

REPRINTED CLASSICS

Chapter 15:	Excerpts from "Principles of Biology" 
		- H. Spencer 
		(Preface by P. G. Godfrey-Smith)

Chapter 16:	Excerpts from "Principles of Psychology" 
		- H. Spencer
		(Preface by P. G. Godfrey-Smith)

Chapter 17:	William James and the Broader Implications of a Multilevel
	        Selectionism 
		- J. Schull	

Chapter 18:	Excerpts from "The Phylogeny and Ontogeny of Behavior" 
	        - B. F. Skinner

Chapter 19:	Excerpts from "Adaptation and Intelligence: 
                Organic Selection and Phenocopy" 
		- J. Piaget
		(Preface by O. Miglino & R. K. Belew)

Chapter 20:	Selective Costs and Benefits of Learning 
		- T. D. Johnston 
		(Preface by P. M. Todd)

NEW WORK

Chapter 21:	Sexual Selection and the Evolution of Learning 
		- P. M. Todd
		(Preface by S. Shafir)

Chapter 22:	Discontinuity in Evolution: How Different Levels of 
	        Organization Imply Preadaptation
		- O. Miglino, S. Nolfi, and D. Parisi
		(Preface by M. Mitchell)

Chapter 23:	The Influence of Learning on Evolution 
                - D. Parisi and S. Nolfi
		(Preface by W. Hart)


			COMPUTER SCIENCE

OVERVIEW

Chapter 24:	Computation and the Natural Sciences 
		- R. K. Belew, M. Mitchell, and D. Ackley 

REPRINTED CLASSICS

Chapter 25:	How Learning Can Guide Evolution 
		- G. Hinton & S. Nowlan 
		(Preface by M. Mitchell and R. K. Belew)

	       Natural Selection: When Learning Guides Evolution 
	       - J. Maynard Smith 

NEW WORK

Chapter 26:	Simulations Combining Evolution and Learning 
		- M. L. Littman
	        (Preface by M. Mitchell)

Chapter 27:	Optimization with Genetic Algorithm Hybrids that Use 
		Local Search 
		- W. Hart & R. K. Belew
	        (Preface by C. Taylor)

GLOSSARY

INDEX