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2011 | OriginalPaper | Chapter

1. Introduction

Authors : Prof. Roberto Baragona, Prof. Francesco Battaglia, Prof. Irene Poli

Published in: Evolutionary Statistical Procedures

Publisher: Springer Berlin Heidelberg

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Abstract

A new line of research has started since the fifties originated by a new awareness in scientific community that natural and biological mechanisms could provide not only the traditional object of study but suggest new disciplines theories and methods by themselves. We may cite the Rosenblatt’s perceptron, one of the first examples of a learning machine, and the Box’s evolutionary approach to industrial productivity, an early attempt to modeling a process using the concepts of evolutionary behavior of living creatures. This short introduction aims at highlighting the basic ideas that led to an unprecedented enlargement of the guidelines for developing theoretical and applied research in a large body of scientific disciplines. An outline of the present book as far as the impact of the new research technologies on statistics and strictly related subjects is concerned is given with special emphasis on methods inspired by natural biological evolution.

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Literature
go back to reference Box GEP (1957) Evolutionary operation: a method for increasing industrial productivity. Appl Stat 6:81–101CrossRef Box GEP (1957) Evolutionary operation: a method for increasing industrial productivity. Appl Stat 6:81–101CrossRef
go back to reference Rosenblatt F (1958) The perceptron: a probabilistic model for information storage and organization in the brain. Psychol Rev 65:386–408CrossRefMathSciNet Rosenblatt F (1958) The perceptron: a probabilistic model for information storage and organization in the brain. Psychol Rev 65:386–408CrossRefMathSciNet
Metadata
Title
Introduction
Authors
Prof. Roberto Baragona
Prof. Francesco Battaglia
Prof. Irene Poli
Copyright Year
2011
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-16218-3_1

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