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Kagan BJ, Mahlis M, Bhat A, Bongard J, Cole VM, Corlett P, Gyngell C, Hartung T, Jupp B, Levin M, Lysaght T, Opie N, Razi A, Smirnova L, Tennant I, Wade PT, Wang G. Toward a nomenclature consensus for diverse intelligent systems: Call for collaboration. Innovation (N Y) 2024; 5:100658. [PMID: 39071220 PMCID: PMC11278797 DOI: 10.1016/j.xinn.2024.100658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 06/16/2024] [Indexed: 07/30/2024] Open
Abstract
Disagreements about language use are common both between and within fields. Where interests require multidisciplinary collaboration or the field of research has the potential to impact society at large, it becomes critical to minimize these disagreements where possible. The development of diverse intelligent systems, regardless of the substrate (e.g., silicon vs. biology), is a case where both conditions are met. Significant advancements have occurred in the development of technology progressing toward these diverse intelligence systems. Whether progress is silicon based, such as the use of large language models, or through synthetic biology methods, such as the development of organoids, a clear need for a community-based approach to seeking consensus on nomenclature is now vital. Here, we welcome collaboration from the wider scientific community, proposing a pathway forward to achieving this intention, highlighting key terms and fields of relevance, and suggesting potential consensus-making methods to be applied.
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Affiliation(s)
- Brett J. Kagan
- Cortical Labs, Brunswick, VIC 3056, Australia
- Department of Biochemistry and Pharmacology, University of Melbourne, Parkville, VIC 3010, Australia
| | | | - Anjali Bhat
- Wellcome Centre for Human Neuroimaging, University College London, London WC1N 3AR, UK
| | - Josh Bongard
- University of Vermont, Burlington, VT 05405, USA
| | - Victor M. Cole
- Centre for Professional Communication, Singapore Institute of Technology, Singapore 138683, Singapore
| | - Phillip Corlett
- Department of Psychiatry, Yale University, New Haven , CT 06511, USA
| | | | - Thomas Hartung
- Centre for Alternatives to Animal Testing (CAAT), Bloomberg School of Public Health and Whiting School of Engineering, Johns Hopkins University, Doerenkamp-Zbinden Chair for Evidence-based Toxicology, Baltimore , MD 21205, USA
- CAAT-Europe, University of Kostanz, 78464 Kostanz, Germany
| | - Bianca Jupp
- Department of Neuroscience, Central Clinical School, Monash University, Prahran, VIC 3004, Australia
| | - Michael Levin
- Allen Discovery Centre at Tufts University, Medford , MA 02155, USA
| | - Tamra Lysaght
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
- Faculty of Medicine and Health Sydney School of Public Health, The University of Sydney, Camperdown, NSW 2050, Australia
| | - Nicholas Opie
- Department of Medicine, University of Melbourne, Parkville, VIC 3010, Australia
| | - Adeel Razi
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC 3168, Australia
- Wellcome Centre for Human Neuroimaging, University College London, London WC1N 3AR, UK
| | - Lena Smirnova
- Center for Alternatives to Animal Testing (CAAT), Bloomberg School of Public Health and Whiting School of Engineering, Johns Hopkins University, Baltimore , MD 21205, USA
| | - Ian Tennant
- Faculty of Engineering, AgriTech and Environment, Anglia Ruskin University, Peterborough PE1 5BW, UK
| | - Peter Thestrup Wade
- Interacting Minds Centre, Aarhus University, 8000 Aarhus C, Denmark
- Wellcome Centre for Human Neuroimaging, University College London, London WC1N 3AR, UK
| | - Ge Wang
- Department of Biomedical Engineering, School of Engineering, Biomedical Imaging Center, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY 12180, USA
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Chen J, Wang H, Chao X. Cross-platform opinion dynamics in competitive travel advertising: A coupled networks’ insight. Front Psychol 2022; 13:1003242. [DOI: 10.3389/fpsyg.2022.1003242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 09/28/2022] [Indexed: 11/13/2022] Open
Abstract
Social media platforms have become an important tool for travel advertisement. This study constructs the bounded confidence model to build an improved cross-platform competitive travel advertising information dissemination model based on open and closed social media platforms. Moreover, this study examines the evolution process of group opinions in cross-platform information dissemination with simulation experiments. Results reveal that based on strong relationships, the closed social media platform opinion leaders better guide in competitive travel advertising and can bring more potential consumers to follow. However, being an opinion leader on an open social media platform will not result in more consumer following.
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