Computer science procedures for the Laboratory of Analytical Archaeology and artificial adaptive systems (LAA and AAS)

Massimiliano Capriotti

«Archeologia e Calcolatori» 2014, Supplemento 6, 153-178

Abstract

In this paper the theoretical and methodological aspects of some of the tools applied to the archaeological, geographical and linguistic problems posed by ARCHEOSEMA project will be analysed. In particular, the single steps of the process of generation of outputs, from the initial analysis of the dataset, the subsequent procedures of pre-processing and encoding of the data to the characteristics of the processing algorithms will be described. For this purpose we will use a so-called toy dataset known in the literature. Using the same dataset, we will illustrate the main output produced, Minimum Spanning Tree maps. Along with the use of classical literature measurements, such as the Pearson linear correlation and Prior Probability, both used as metrics for the generation of these outputs, we have tried to show the innovative contribution of a new artificial neural network, the Auto-Contractive Map, designed by P.M. Buscema at the Semeion Research Center.

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