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Untitled - Consiglio Nazionale delle Ricerche

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Archeologia e Calcolatori<br />

20, 2009, 95-109<br />

1. Introduction<br />

THE BIRTH AND HISTORICAL DEVELOPMENT OF<br />

COMPUTATIONAL INTELLIGENCE APPLICATIONS<br />

IN ARCHAEOLOGY<br />

Is it possible to build a machine to do archaeology Will this machine<br />

be capable of acting like a scientist Will this machine be capable of understanding<br />

how humans act, or how humans think they acted in the Past These<br />

questions are rather original in Archaeology. They are even provocative, given<br />

the current fashion of post-modern and hermeneutic approaches. Nevertheless,<br />

the dream of an automated archaeology has existed latently in some hidden<br />

places of the archaeology.<br />

The so called “intelligent” machines incite instinctive fear and anger by<br />

resembling ancestral threats – a rival for our social position as more or less<br />

respected specialists. But robots are here, around us. So, why should we fear<br />

a machine classifying a prehistoric tool and deciding “intelligently” its origin,<br />

function and/or chronology<br />

The debate is between what is considered an articial way of reasoning<br />

(computer programs) and a natural way of reasoning (verbal narrative). Critics<br />

of computationalism insist that we should not confound scientic statements<br />

with predicate logic operations, since discursive practices or argumentations<br />

observed in a scientic text are not “formal”. By that reason, they are tributary,<br />

to a certain extent, from the Natural Language and the narrative structure<br />

(literary) of which scientic texts derive. Personally, I take the opposite approach:<br />

scientic problem solving stems from the acquisition of knowledge<br />

from a specic environment, the manipulation of such knowledge, and the<br />

intervention in the real world with the manipulated knowledge. The more<br />

exhaustive and better structured the knowledge base, the more it emulates<br />

a Scientic Theory and therefore the easier the solution is to the scientic<br />

problem, the more adequate the interpretations we will get.<br />

As its history proves, computational intelligence is not just about robots.<br />

It is also about understanding the nature of intelligent thought and action using<br />

computers as experimental devices. In the following pages I will consider whether<br />

this is also a possible “metaphor” to understand the way archaeologists think.<br />

2. Machines who think<br />

The dream of an “intelligent” machine is very old in the history of<br />

Philosophy, and it is related to the progressive discovery that nature and hu-<br />

95

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