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Cooperrider K. Time Tools. Top Cogn Sci 2025. [PMID: 40302392 DOI: 10.1111/tops.70005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2024] [Revised: 03/13/2025] [Accepted: 03/13/2025] [Indexed: 05/02/2025]
Abstract
Many core human activities require an understanding of time. To coordinate rituals, plan harvests and hunts, recall histories, keep appointments, and follow recipes, we need to grapple with invisible temporal structures like durations, sequences, and cycles. No other species seems to do this. But it is not a capacity we humans have because we developed special neural equipment over biological evolution. We have it because we developed concepts, practices, and artifacts to help us-in short, because we developed time tools. The overarching function of such tools is that they render time more concrete: they identify structure in the flow of experience and make that structure available to the senses. By concretizing time in this way, these tools serve a range of practical purposes, from tallying and measuring, to coordinating and predicting, to remembering and reasoning. Beyond their practical utility, time tools have further consequences, too: they reverberate through cognition and culture, and ultimately reshape our understanding of what time is.
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Affiliation(s)
- Kensy Cooperrider
- Department of Cognitive Science, University of California, San Diego
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Rabb N, Sloman SA. Radical Collective Intelligence and the Reimagining of Cognitive Science. Top Cogn Sci 2024; 16:164-174. [PMID: 38471027 DOI: 10.1111/tops.12727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 02/01/2024] [Accepted: 02/19/2024] [Indexed: 03/14/2024]
Abstract
To introduce our special issue How Minds Work: The Collective in the Individual, we propose "radical CI," a form of collective intelligence, as a new paradigm for cognitive science. Radical CI posits that the representations and processes necessary to perform the cognitive functions that humans perform are collective entities, not encapsulated by any individual. To explain cognitive performance, it appeals to the distribution of cognitive labor on the assumption that the human project runs on countless interactions between locally acting individuals with specialized skills that each retain a small part of the relevant information. Some of the papers in the special issue appeal to radical CI to account for a variety of cognitive phenomena including memory performance, metacognition, belief updating, reasoning, and problem-solving. Other papers focus on the cultural and institutional practices that make radical CI possible.
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Affiliation(s)
| | - Steven A Sloman
- Cognitive, Linguistic, & Psychological Sciences, Brown University
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Żuromski D, Pacholik-Żuromska A. Socio-cultural brain reprogramming-The uniqueness of human cognition. Front Hum Neurosci 2024; 18:1331213. [PMID: 38532787 PMCID: PMC10963407 DOI: 10.3389/fnhum.2024.1331213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 02/23/2024] [Indexed: 03/28/2024] Open
Affiliation(s)
| | - Anita Pacholik-Żuromska
- Department of Cognitive Science, Institute of Information and Communication Research, Nicolaus Copernicus University, Toruń, Poland
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Brinkmann L, Baumann F, Bonnefon JF, Derex M, Müller TF, Nussberger AM, Czaplicka A, Acerbi A, Griffiths TL, Henrich J, Leibo JZ, McElreath R, Oudeyer PY, Stray J, Rahwan I. Machine culture. Nat Hum Behav 2023; 7:1855-1868. [PMID: 37985914 DOI: 10.1038/s41562-023-01742-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 10/03/2023] [Indexed: 11/22/2023]
Abstract
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.
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Affiliation(s)
- Levin Brinkmann
- Center for Humans and Machines, Max Planck Institute for Human Development, Berlin, Germany.
| | - Fabian Baumann
- Center for Humans and Machines, Max Planck Institute for Human Development, Berlin, Germany
| | | | - Maxime Derex
- Toulouse School of Economics, Toulouse, France
- Institute for Advanced Study in Toulouse, Toulouse, France
| | - Thomas F Müller
- Center for Humans and Machines, Max Planck Institute for Human Development, Berlin, Germany
| | - Anne-Marie Nussberger
- Center for Humans and Machines, Max Planck Institute for Human Development, Berlin, Germany
| | - Agnieszka Czaplicka
- Center for Humans and Machines, Max Planck Institute for Human Development, Berlin, Germany
| | - Alberto Acerbi
- Department of Sociology and Social Research, University of Trento, Trento, Italy
| | - Thomas L Griffiths
- Department of Psychology and Department of Computer Science, Princeton University, Princeton, NJ, USA
| | - Joseph Henrich
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | | | - Richard McElreath
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | | | - Jonathan Stray
- Center for Human-Compatible Artificial Intelligence, University of California, Berkeley, Berkeley, CA, USA
| | - Iyad Rahwan
- Center for Humans and Machines, Max Planck Institute for Human Development, Berlin, Germany.
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