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</script>pmid: 37985914
handle: 11572/398109
The ability of humans to create and disseminate culture is often credited as the single most important factor of our success as a species. In this Perspective, we explore the notion of machine culture, culture mediated or generated by machines. We argue that intelligent machines simultaneously transform the cultural evolutionary processes of variation, transmission, and selection. Recommender algorithms are altering social learning dynamics. Chatbots are forming a new mode of cultural transmission, serving as cultural models. Furthermore, intelligent machines are evolving as contributors in generating cultural traits--from game strategies and visual art to scientific results. We provide a conceptual framework for studying the present and anticipated future impact of machines on cultural evolution, and present a research agenda for the study of machine culture.
FOS: Computer and information sciences, Computer Science - Computers and Society, Cultural Evolution, Culture, Computers and Society (cs.CY), Humans, Animals, Learning, Hominidae, [SCCO] Cognitive science, B- ECONOMIE ET FINANCE
FOS: Computer and information sciences, Computer Science - Computers and Society, Cultural Evolution, Culture, Computers and Society (cs.CY), Humans, Animals, Learning, Hominidae, [SCCO] Cognitive science, B- ECONOMIE ET FINANCE
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 54 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
