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Locally noisy autonomous agents improve global human coordination in network experiments

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Cited by:

  1. Zou, Tengjian & Ertug, Gokhan & Roulet, Thomas, 2024. "Learning from machines: How negative feedback from machines improves learning between humans," Journal of Business Research, Elsevier, vol. 172(C).
  2. Mike Farjam & Olexandr Nikolaychuk & Giangiacomo Bravo, 2018. "Does risk communication really decrease cooperation in climate change mitigation?," Climatic Change, Springer, vol. 149(2), pages 147-158, July.
  3. Gallo, Edoardo & Barak, Darija & Langtry, Alastair, 2023. "Social distancing in networks: A web-based interactive experiment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).
  4. Brent Simpson & Bradley Montgomery & David Melamed, 2023. "Reputations for treatment of outgroup members can prevent the emergence of political segregation in cooperative networks," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
  5. Kinga Makovi & Anahit Sargsyan & Wendi Li & Jean-François Bonnefon & Talal Rahwan, 2023. "Trust within human-machine collectives depends on the perceived consensus about cooperative norms," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
  6. Atsushi Ueshima & Matthew I. Jones & Nicholas A. Christakis, 2024. "Simple autonomous agents can enhance creative semantic discovery by human groups," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
  7. repec:osf:socarx:x6q7g_v1 is not listed on IDEAS
  8. Arno Riedl & Ingrid M. T. Rohde & Martin Strobel, 2021. "Free Neighborhood Choice Boosts Socially Optimal Outcomes in Stag-Hunt Coordination Problem," CESifo Working Paper Series 9012, CESifo.
  9. Xin-Jie Zhang & Yong Tang & Jason Xiong & Wei-Jia Wang & Yi-Cheng Zhang, 2018. "Dynamics of Cooperation in Minority Games in Alliance Networks," Sustainability, MDPI, vol. 10(12), pages 1-17, December.
  10. Pei, Shan & Cressman, Ross & Zhang, Boyu, 2024. "Dynamic games on arbitrary networks with two types of players," Journal of Mathematical Economics, Elsevier, vol. 113(C).
  11. Agnieszka Kowalska-Styczeń & Krzysztof Malarz, 2020. "Noise induced unanimity and disorder in opinion formation," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-22, July.
  12. Chowdhury, Soumyadeb & Budhwar, Pawan & Dey, Prasanta Kumar & Joel-Edgar, Sian & Abadie, Amelie, 2022. "AI-employee collaboration and business performance: Integrating knowledge-based view, socio-technical systems and organisational socialisation framework," Journal of Business Research, Elsevier, vol. 144(C), pages 31-49.
  13. Liangru Yu & Bo Yu, 2024. "Uncovering the impact of technology convergence on innovation quality: From the perspective of ego‐network dynamics pathway," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 45(6), pages 3641-3662, September.
  14. Jarrahi, Mohammad Hossein, 2018. "Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making," Business Horizons, Elsevier, vol. 61(4), pages 577-586.
  15. Niccolo Pescetelli, 2021. "A Brief Taxonomy of Hybrid Intelligence," Forecasting, MDPI, vol. 3(3), pages 1-11, September.
  16. Niccolo Pescetelli & Patrik Reichert & Alex Rutherford, 2022. "A variational-autoencoder approach to solve the hidden profile task in hybrid human-machine teams," PLOS ONE, Public Library of Science, vol. 17(8), pages 1-20, August.
  17. Malarz, Krzysztof & Kułakowski, Krzysztof, 2021. "Heider balance of a chain of actors as dependent on the interaction range and a thermal noise," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 567(C).
  18. Zhang, Xin-Jie & Tang, Yong & Xiong, Jason & Wang, Wei-Jia & Zhang, Yi-Cheng, 2020. "Ranking game on networks: The evolution of hierarchical society," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
  19. Liangru Yu & Bo Yu, 2024. "How Knowledge Recombination Affect Technology Innovation Quality in Chinese High-Tech Firms: The Role of Relation Dynamics and Knowledge Network Decomposability," SAGE Open, , vol. 14(3), pages 21582440241, August.
  20. Füller, Johann & Hutter, Katja & Wahl, Julian & Bilgram, Volker & Tekic, Zeljko, 2022. "How AI revolutionizes innovation management – Perceptions and implementation preferences of AI-based innovators," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
  21. Julián Vicens & Josep Perelló & Jordi Duch, 2018. "Citizen Social Lab: A digital platform for human behavior experimentation within a citizen science framework," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-20, December.
  22. Soojong Kim, 2019. "Directionality of information flow and echoes without chambers," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-22, May.
  23. Tina Eliassi-Rad & Henry Farrell & David Garcia & Stephan Lewandowsky & Patricia Palacios & Don Ross & Didier Sornette & Karim Thébault & Karoline Wiesner, 2020. "What science can do for democracy: a complexity science approach," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-4, December.
  24. Iyad Rahwan & Manuel Cebrian & Nick Obradovich & Josh Bongard & Jean-François Bonnefon & Cynthia Breazeal & Jacob W. Crandall & Nicholas A. Christakis & Iain D. Couzin & Matthew O. Jackson & Nicholas , 2019. "Machine behaviour," Nature, Nature, vol. 568(7753), pages 477-486, April.
    • Iyad Rahwan & Manuel Cebrian & Nick Obradovich & Josh Bongard & Jean-François Bonnefon & Cynthia Breazeal & Jacob W. Crandall & Nicholas Christakis & Iain Couzin & Matthew O. Jackson & Nicholas Jennin, 2019. "Machine behaviour," Post-Print hal-04121682, HAL.
  25. Kim, Dennie & Funk, Russell & Zaheer, Aks, 2020. "Structure in Context: A Morphological View of Whole Network Performance," SocArXiv x6q7g, Center for Open Science.
  26. Makarius, Erin E. & Mukherjee, Debmalya & Fox, Joseph D. & Fox, Alexa K., 2020. "Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization," Journal of Business Research, Elsevier, vol. 120(C), pages 262-273.
  27. Zhigang Cao & Cheng-zhong Qin & Xiaoguang Yang & Boyu Zhang, 2019. "Dynamic matching pennies on networks," International Journal of Game Theory, Springer;Game Theory Society, vol. 48(3), pages 887-920, September.
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