The study of complex archaeological systems with the support of the philosophy of Arti0cial Intelligence is a research project that evaluates the historical meaning of the relationships between archaeological documents, intended as an essentially human construction, reaf- 0rming, in this way, the importance of Analytical Archaeology, and updating it on the basis of the progress made by Cognitive Science, Neuroscience and Cybernetics through the simulation of the principles regulating memory, orientation, classi0cation and interpretation of reality. It is important to highlight that these models, unlike others, require a precise encoding of the documents and acquire an important role in the research only when the results they produce become the hyper-surface to continue, update, re0ne or open the analysis itself. In the Time of Techniques it is still too predictable that the last perceptible limit is still that of the relationship (metaphorical, nuanced or allusive) between “mind and machine”. Besides, in this age, it is almost instinctive to replicate the function of knowledge, to retrieve its origin and to postulate a backstory for it. On the other hand, the models seeking a place in this discipline, by drawing their inspiration both from other dissimilar disciplines and from the theories that try to explain the cognitive function, would be absorbed by the recreation, even though minimal or impossible, of intelligences, 0rst the Cybernetic and then the Arti0cial Intelligence. The other model they would be inspired by is reason as a tool and this becomes, today, the condition for interpreting and communicating the historical, archaeological and anthropological complexity of the human being.

Artificial Adaptive Systems and Artificial Neural Networks for the Analytical Archaeology / Ramazzotti, Marco. - In: ARCHEOLOGIA E CALCOLATORI. - ISSN 1120-6861. - STAMPA. - Supplemento 6:(2014), pp. 15-52.

Artificial Adaptive Systems and Artificial Neural Networks for the Analytical Archaeology

RAMAZZOTTI, Marco
2014

Abstract

The study of complex archaeological systems with the support of the philosophy of Arti0cial Intelligence is a research project that evaluates the historical meaning of the relationships between archaeological documents, intended as an essentially human construction, reaf- 0rming, in this way, the importance of Analytical Archaeology, and updating it on the basis of the progress made by Cognitive Science, Neuroscience and Cybernetics through the simulation of the principles regulating memory, orientation, classi0cation and interpretation of reality. It is important to highlight that these models, unlike others, require a precise encoding of the documents and acquire an important role in the research only when the results they produce become the hyper-surface to continue, update, re0ne or open the analysis itself. In the Time of Techniques it is still too predictable that the last perceptible limit is still that of the relationship (metaphorical, nuanced or allusive) between “mind and machine”. Besides, in this age, it is almost instinctive to replicate the function of knowledge, to retrieve its origin and to postulate a backstory for it. On the other hand, the models seeking a place in this discipline, by drawing their inspiration both from other dissimilar disciplines and from the theories that try to explain the cognitive function, would be absorbed by the recreation, even though minimal or impossible, of intelligences, 0rst the Cybernetic and then the Arti0cial Intelligence. The other model they would be inspired by is reason as a tool and this becomes, today, the condition for interpreting and communicating the historical, archaeological and anthropological complexity of the human being.
2014
Archaeology, Artificial Intelligence, Artificial Adaptive Systems
01 Pubblicazione su rivista::01a Articolo in rivista
Artificial Adaptive Systems and Artificial Neural Networks for the Analytical Archaeology / Ramazzotti, Marco. - In: ARCHEOLOGIA E CALCOLATORI. - ISSN 1120-6861. - STAMPA. - Supplemento 6:(2014), pp. 15-52.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/506579
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