2023
Pescetelli, N., & Denis, G. (2023). Methods to scale deliberative decision-making to billions of simultaneous people. PsychArXiv.
Brinkmann, L., Cebrian, M., & Pescetelli, N. (2023). Adversarial Dynamics in Centralized Versus Decentralized Intelligent Systems. Topics in Cognitive Science.
Holford, D., Fasce, A., Tapper, K., Demko, M., Lewandowsky, S., Hahn, U., Abels, C., Al-Rawi, A., Alladin, S., Sonia Boender, T., Bruns, H., Fischer, H., Gilde, C., Hanel, P., Herzog, S., Kause, A., Lehmann, S., Nurse, M., Orr, C., Pescetelli, N., Petrescu, M., Sah, S., Schmid, P., Sirota, M., & Wulf, M. (2023). Science Communication as a Collective Intelligence Endeavor: A Manifesto and Examples for Implementation. Science Communication, 45(4), 539–554.
Müller, T., Brinkmann, L., Winters, J., & Pescetelli, N. (2023). Machine Impostors Can Avoid Human Detection and Interrupt the Formation of Stable Conventions by Imitating Past Interactions: A Minimal Turing Test. Cognitive Science, 47(4).
Galesic, M., Barkoczi, D., Berdahl, A., Biro, D., Carbone, G., Giannoccaro, I., Goldstone, R., Gonzalez, C., Kandler, A., Kao, A., Kendal, R., Kline, M., Lee, E., Massari, G., Mesoudi, A., Olsson, H., Pescetelli, N., Sloman, S., Smaldino, P., & Stein, D. (2023). Beyond collective intelligence: Collective adaptation. Journal of The Royal Society Interface, 20(200).
Misevic, D., Atal, I., Bedard, D., Cherel, E., Escamilla, J., Evans, L., Hannon, V., Huron, C., Irrmann, O., Kizilcec, R., Lazega, E., Lemoie, K., Lindner, A., Macedo, M., Mainguy, G., Mann, R., Masselot, C., Michelucci, P., Nikolayeva, I., Ogan, A., Pérez-Sanagustín, M., Pescetelli, N., Poquet, S., Rafner, J., Regester, D., Santolini, M., Sevin, J.M., Shahaf, D., Sherson, J., Smith, J., Söllner, M., Soulié, F., Taddei, F., Tupikina, L., & Van Der Leeuw, S. (2023). Harnessing collective intelligence for the future of learning – a co-constructed research and development agenda. Human Computation, 10(1), 1–30.
C Liu, Y Xie, Y Hao, W Zhang, L Yang, J Bu, Z Wei, H Wu, N Pescetelli, X Zhang. Using multisession tDCS stimulation as an early intervention on memory bias processing in subthreshold depression. Psychophysiology Volume60, Issue1 January 2023. e14148
2022
Brinkmann L, Gezerli D, Kleist KV, Müller TF, Rahwan I, Pescetelli N. Hybrid social learning in human-algorithm cultural transmission. Philos Trans A Math Phys Eng Sci. 2022 Jul 11;380(2227):20200426.
Pescetelli, N., Barkoczi, D. & Cebrian, M. Bots influence opinion dynamics without direct human-bot interaction: the mediating role of recommender systems. Appl Netw Sci 7, 46 (2022).
Pescetelli, N., & Yeung, N. (2022). Benefits of spontaneous confidence alignment between dyad members. Collective Intelligence, 1(2).
Pescetelli N, Reichert P, Rutherford A (2022) A variational-autoencoder approach to solve the hidden profile task in hybrid human-machine teams. PLOS ONE 17(8): e0272168.
2021
Pescetelli, N., Rutherford, A., Rahwan, I. (2021) Modularity and composite diversity affect the collective gathering of information online. Nature Communications 12, 3195
Pescetelli, N., and Yeung, N. (2021) The role of decision confidence in advice-taking and trust formation. Journal of Experimental Psychology: General 150(3):507-526
Pescetelli, N. (2021) A Brief Taxonomy of Hybrid Intelligence. Forecasting 3(3), 633-643
Pesetelli, N., Hauperich, A.-K., Yeung, N. (2021) Confidence, advice seeking and changes of mind in decision making. Cognition 215, Oct 2021, 104810
Bassett, J., Pescetelli, N., Rutherford, A. et al. Time-critical decentralised situational awareness in emergencies: an adversarial biosecurity scenario. Appl Netw Sci 6, 59 (2021).
2020
Pescetelli, N., Rutherford, A., Kao, A., Rahwan, I. (2020) Collective Learning in news consumption.
Pescetelli, N., & Yeung, N. (2020). The effects of recursive communication dynamics on belief updating. Proceedings of the Royal Society B: Biological Sciences, 287(1931), 20200025.
Pescetelli, N., Cebrian, M., & Rahwan, I. (2020). BeeMe: Real-Time Internet Control of Situated Human Agents. Computer, 53(8), 49–58.
2019
Epstein, Z., Epstein, M., Almenar, C., Groh, M., Pescetelli, N., Moro, E., Obradovich, N., Cebrian, M., Rahwan, I. (2019). Towards a new social laboratory: An experimental study of search through community participation at Burning Man.
2018
Pescetelli, N., & Yeung, N. (2018). The role of decision confidence in advice-taking and trust formation.
2017
Rosenberg, L., Pescetelli, N., & Willcox, G. (2017). Artificial Swarm Intelligence amplifies accuracy when predicting financial markets. In 2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON) (Vol. 2018-Janua, pp. 58–62). IEEE.
Rosenberg, L. B., & Pescetelli, N. (2017). Amplifying prediction accuracy using Swarm A.I. 2017 Intelligent Systems Conference (IntelliSys), 61–65.
2016
Pescetelli, N., Rees, G., & Bahrami, B. (2016). The perceptual and social components of metacognition. Journal of Experimental Psychology: General, 145(8), 949–965.
King, J.-R.*, Pescetelli, N.*, & Dehaene, S. (2016). Brain Mechanisms Underlying the Brief Maintenance of Seen and Unseen Sensory Information. Neuron, 92(5), 1122–1134.
Rosenberg, L., Baltaxe, D., & Pescetelli, N. (2016). Crowds vs swarms, a comparison of intelligence. In 2016 Swarm/Human Blended Intelligence, SHBI 2016.
niccolo.pescetelli@njit.edu
Phone
973-596-5284