Publikationen von Iyad Rahwan

Atkinson, K., Cerutti, F., McBurney, P., Parsons, S., & Rahwan, I. (Eds.). (2016). Special issue on argumentation in multi-agent systems [Special issue]. Argument & Computation, 7(2-3).

Reed, C., Grasso, F., Simari, G., & Rahwan, I. (Eds.). (2010). Argument & Computation [Special issue]. Argument & Computation, 1(1).

Willmott, S., Vreeswijk, G., & South, M. (Eds.). (2005). AIF: Argumentation Interchange Format Strawman Model [Version 0.8, 16th December, 2005]. Advance online publication.

Pentland, A. P., & Rahwan, I. (2012). Method for promoting behavior change through social reward mediation. Google Patents.

Baumann, F., Arora, N., Rahwan, I., & Czaplicka, A. (2025). Dynamics of algorithmic content amplification on TikTok. arXiv, 2503.20231. https://doi.org/10.48550/arXiv.2503.20231

Dong, M., Brinkmann, L., Sherif, O., Wang, S., Zhang, X., Bonnefon, J.-F., & Rahwan, I. (2025). Experimental evidence that AI-managed workers tolerate lower pay without demotivation. arXiv, 2505.21752. https://doi.org/10.48550/arXiv.2505.21752

Eisenmann, T. F., Karjus, A., Canet Sola, M., Brinkmann, L., Supriyatno, B. I., & Rahwan, I. (2025). Expertise elevates AI usage: Experimental evidence comparing laypeople and professional artists. arXiv, 2501.12374. https://doi.org/10.48550/arXiv.2501.12374

Awad, E., Yoeli, E., Rahwan, I., & Rahwan, Z. (2024). Heterogeneity in charitable giving preferences from over 2 million decisions worldwide. OSF Preprints, September 11, 2024. https://doi.org/10.31219/osf.io/28g3z

Dong, M., Bonnefon, J.-F., & Rahwan, I. (2024). False consensus biases AI against vulnerable stakeholders. SSRN eLibrary, June 28, 2024. https://doi.org/10.2139/ssrn.4876227

Johnson, S. G. B., Karimi, A.-H., Bengio, Y., Chater, N., Gerstenberg, T., Larson, K., Levine, S., Mitchell, M., Rahwan, I., Schölkopf, B., & Grossmann, I. (2024). Imagining and building wise machines: The centrality of AI metacognition. arXiv, 2411.02478. https://doi.org/10.48550/arXiv.2411.02478