Ecosystems of Collective Intelligence in the Service of Digital Archives
Samuel Szoniecky · 2017
This chapter examines the importance of digital archives at both the personal and the collective level. These investigations can only be done through long-term collective work that must take place through the constitution of a collective intelligence capable of lending humanity the means to avoid handing over to machines the full responsibility of semantic choices necessary for the interpretation of archives. The chapter presents a model that consists of developing a generic method for analyzing the ecosystems of knowledge that make up a complex universe of simultaneously complementary and antagonistic relationships between a multitude of human, mechanical, institutional, conceptual, documentary, etc. relationships. It models the informational beings by crossing the Gille Deleuze's Spinozan logical principles with those of Philippe Descola. It focuses on the analogy ontology that actually corresponds to the case of digital archives and collective intelligence.