Publications of Iyad Rahwan

Epstein, Z., Payne, B. H., Shen, J. H., Hong, C. J., Felbo, B., Dubey, A., Groh, M., Obradovich, N., Cebrian, M., & Rahwan, I. (2018). TuringBox: An experimental platform for the evaluation of AI systems. In Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18) (pp. 5826–5828). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2018/851

Kim, R., Kleiman-Weiner, M., Abeliuk, A., Awad, E., Dsouza, S., Tenenbaum, J., & Rahwan, I. (2018). A computational model of commonsense moral decision making. In AIES '18: Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society. New Orleans, LA, USA — February 02 - 03, 2018 (pp. 197–203). ACM. https://doi.org/10.1145/3278721.3278770

Noothigattu, R., Gaikwad, S. 'N. S., Awad, E., Dsouza, S., Rahwan, I., Ravikumar, P., & Procaccia, A. D. (2018). A voting-based system for ethical decision making. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18). AAAI Press.

Verdiesen, I., Dignum, V., & Rahwan, I. (2018). Design requirements for a moral machine for autonomous weapons. In B. Gallina, A. Skavhaug, E. Schoitsch, & F. Bitsch (Eds.), Computer Safety, Reliability, and Security: SAFECOMP 2018 Workshops. ASSURE, DECSoS, SASSUR, STRIVE, and WAISE. Västerås, Sweden, September 18, 2018. Proceedings (pp. 494–506). Springer.

Felbo, B., Mislove, A., Søgaard, A., Rahwan, I., & Lehmann, S. (2017). Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm. In M. Palmer, R. Hwa, & S. Riedel (Eds.), Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. Copenhagen, Denmark, September 7–11, 2017 (pp. 1615–1625). Association for Computational Linguistics. https://doi.org/10.18653/v1/D17-1169

Shen, W., Al Khemeiri, A., Almehrzi, A., Al Enezi, W., Rahwan, I., & Crandall, J. W. (2017). Regulating highly automated robot ecologies: Insights from three user studies. In B. Wrede, Y. Nagai, T. Komatsu, M. Hanheide, & L. Natale (Eds.), HAI' 17: Proceedings of the 5th International Conference on Human Agent Interaction (pp. 111–120). ACM.

Coviello, L., Franceschetti, M., García-Herranz, M., & Rahwan, I. (2016). Predicting and containing epidemic risk using friendship networks. In 2016 Information Theory and Applications Workshop (ITA 2016), La Jolla, California, USA, 31 January – 5 February 2016 (pp. 519–525). IEEE. https://doi.org/10.1109/ITA.2016.7888201

Abdallah, S., Sadleh, S., Rahwan, I., Al Shamsi, A., & Lesser, V. (2014). DNVA: A tool for visualizing and analyzing multi-agent learning in networks. In 2014 IEEE 26th International Conference on Tools with Artificial Intelligence: ICTAI 2014, 10-12 November 2014, Limassol, Cyprus. Proceedings (pp. 400–407). The Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICTAI.2014.67

Booth, R., Awad, E., & Rahwan, I. (2014). Interval methods for judgment aggregation in argumentation. In C. Baral, G. De Giacomo, & T. Eiter (Eds.), Principles of knowledge representation and reasoning: Proceedings of the Fourteenth International Conference (KR2014) (pp. 594–597). AAAI Press.

Booth, R., Caminada, M., Dunne, P. E., Podlaszewski, M., & Rahwan, I. (2014). Complexity properties of critical sets of arguments. In S. Parsons, N. Oren, C. Reed, & F. Cerutti (Eds.), Computational models of argument: Proceedings of COMMA 2014 (pp. 173–184). IOS Press. https://doi.org/10.3233/978-1-61499-436-7-173