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Introduction To Natural Computation

MIT Press Mar 1997

The scope of this book is to introduce the different algorithms that are used to describe behavior together with the mathematics on which these algorithms are based.


Chapter Title Lec TapeHW Problems
One IntroductionThe Brain
Nat Comp
Part I Core Concepts
Two FitnessProb ThyHW1
Info ThyHW2
Three ProgramsHeur Srch
Minimax
Four DataEigenvals
ClusteringEM
Five DynamicsEigenvalsHW4
Stability
Six OptimizationHamiltoianKalman HW5
Dynamic Prog
Part II Memories
Seven Content Addressible MemoriesHopfield
Kanerva
Eight Supervised Learning Backprop
Recurr BKP
Nine Unsupervised LearningKohonen
MD, ICA
Part III Programs
Ten Markov ModelsHMMsBaufix
Baum-Welch
Eleven Reinforcement LearningBasicsDriving
MDPsHW6
Part IV Systems
Twelve Genetic Algorithms Intro
Bandits
Thirteen Genetic ProgrammingIntroKoza
SubroutinesPac-Man
Fourteen Summary

ERRATA



©1996 Dana Ballard
Department of Computer Science
Rochester, NY 14610-0226
dana@cs.rochester.edu