The study of complex archaeological systems with the support of the philosophy of Artificial Intelligence is a research project that evaluates the historical meaning of the relation- ships between archaeological documents, intended as an essentially human construction, reaffirming, 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, classification 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, re ne 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, first the Cybernetic and then the Artificial 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.

Analytical Archaeology and Artificial Adaptive Systems / Ramazzotti, Marco. - STAMPA. - Supplemento 6(2014), pp. 14-52.

Analytical Archaeology and Artificial Adaptive Systems

RAMAZZOTTI, Marco
2014

Abstract

The study of complex archaeological systems with the support of the philosophy of Artificial Intelligence is a research project that evaluates the historical meaning of the relation- ships between archaeological documents, intended as an essentially human construction, reaffirming, 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, classification 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, re ne 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, first the Cybernetic and then the Artificial 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
Archeosema. Artificial Adaptive Systems for the Analysis of Complex Phenomena. Collected Papers in Honour of David Leonard Clarke
978-88-7814-608-2
Archaeology, Analytical Archaeology, Artificial Intelligence, Artificial Adaptive Systems
02 Pubblicazione su volume::02a Capitolo o Articolo
Analytical Archaeology and Artificial Adaptive Systems / Ramazzotti, Marco. - STAMPA. - Supplemento 6(2014), pp. 14-52.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/960137
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