Publikationen von Iyad Rahwan

Konferenzbeitrag (24)

2003
Konferenzbeitrag
Rahwan, I., Sonenberg, L., & Dignum, F. (2003). Towards interest-based negotiation. In J. S. Rosenheim, M. Wooldridge, T. Sandholm, & M. Yokoo (Eds.), AAMAS '03: Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems (pp. 773–780). ACM. https://doi.org/10.1145/860575.860699

Hochschulschrift - Doktorarbeit (1)

2004
Hochschulschrift - Doktorarbeit
Rahwan, I. (2004). Interest-based negotiation in multi-agent systems [Doktorarbeit, University of Melbourne, Department of Information Systems].

Forschungspapier (2)

2021
Forschungspapier
Köbis, N., Bonnefon, J.-F., & Rahwan, I. (2021). Bad machines corrupt good morals (TSE Working Papers No. 1212). Toulouse School of Economics.
Forschungspapier
Shariff, A., Bonnefon, J.-F., & Rahwan, I. (2021). “How safe is safe enough? Psychological mechanisms underlying extreme safety demands for self-driving cars” (TSE Working Papers No. 1215). Toulouse School of Economics.

Heft (2)

2016
Heft
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).
2010
Heft
Reed, C., Grasso, F., Simari, G., & Rahwan, I. (Eds.). (2010). Argument & Computation [Special issue]. Argument & Computation, 1(1).

Editorial (1)

2011
Editorial
Grasso, F., Rahwan, I., Reed, C., & Simari, G. R. (2011). Introducing Argument & Computation: Editorial. Argument & Computation (No. 1). https://doi.org/10.1080/19462161003734804

Preprint (9)

2022
Preprint
Althobaiti, S., Alabdulkareem, A., Hanwen Shen, J., Rahwan, I., Frank, M., Moro, E., & Rutherford, A. (2022). Longitudinal complex dynamics of labour markets reveal increasing polarisation. arXiv, 2204.07073. https://doi.org/10.48550/arXiv.2204.07073
Preprint
Awad, E., Levine, S., Loreggia, A., Mattei, N., Rahwan, I., Rossi, F., Talamadupula, K., Tenenbaum, J., & Kleiman-Weiner, M. (2022). When is it acceptable to break the rules? Knowledge representation of moral judgement based on empirical data. arXiv, 2201.07763.
Preprint
Fioravant, F., Rahwan, I., & Tohmé, F. A. (2022). Properties of aggregation operators relevant for ethical decision making in artificial intelligence. arXiv, 2206.05160. https://doi.org/10.48550/arXiv.2206.05160
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