2010 - ACM Senior Member
Iyad Rahwan mainly investigates Argumentation theory, Argument, Artificial intelligence, Knowledge management and Negotiation. Iyad Rahwan has included themes like Mechanism design, Management science and Normative in his Argumentation theory study. His Argument research is multidisciplinary, incorporating perspectives in Arbitration, Psychologism, Non-monotonic logic, Cognitive science and Defeasible reasoning.
His Artificial intelligence study incorporates themes from Social media, Psychological resilience and Set. His work in Knowledge management covers topics such as Multi-agent system which are related to areas like Intelligent agent, Autonomous agent and E-commerce. His Negotiation research includes themes of Social contract, Control, Conceptual framework and Field.
His primary areas of study are Argumentation theory, Artificial intelligence, Negotiation, Argument and Knowledge management. His Argumentation theory research integrates issues from Multi-agent system, Management science and Set. The Multi-agent system study combines topics in areas such as Autonomous agent and Library science.
His work in Artificial intelligence addresses issues such as The Internet, which are connected to fields such as Crowdsourcing. His Negotiation research incorporates themes from Intelligent agent, Empirical research, Protocol and Quality. His Argument study combines topics in areas such as Ontology, Social choice theory, Mathematical economics and World Wide Web, Knowledge base.
Iyad Rahwan mostly deals with Artificial intelligence, Machine learning, Data science, Deep learning and Internet privacy. His biological study spans a wide range of topics, including Citation and Set. As a part of the same scientific study, Iyad Rahwan usually deals with the Set, concentrating on Human judgment and frequently concerns with Software.
His work focuses on many connections between Data science and other disciplines, such as Cultural landscape, that overlap with his field of interest in Identity. His Deep learning study frequently draws connections to adjacent fields such as Epistemology. His studies deal with areas such as Nothing, Scale, Social dynamics, Crowdsourcing and Moral dilemma as well as Internet privacy.
His main research concerns Artificial intelligence, Machine learning, Computer security, Set and Dilemma. He interconnects Publication and Citation in the investigation of issues within Artificial intelligence. His research integrates issues of Jury, Control, Pedestrian and Social perception in his study of Computer security.
His studies in Set integrate themes in fields like As is, Transparency and Compromise. His Dilemma study integrates concerns from other disciplines, such as Western world, Social psychology, Social partners and Morality. His study looks at the relationship between Deep learning and topics such as Internet privacy, which overlap with Moral dilemma and Crowdsourcing.
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The social dilemma of autonomous vehicles
Jean-François Bonnefon;Azim F. Shariff;Iyad Rahwan.
The Moral Machine experiment
Edmond Awad;Sohan Dsouza;Richard Kim;Jonathan Schulz.
Argumentation in Artificial Intelligence
Iyad Rahwan;Guillermo R. Simari.
Iyad Rahwan;Sarvapali D. Ramchurn;Nicholas R. Jennings;Peter Mcburney.
Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm
Bjarke Felbo;Alan Mislove;Anders Søgaard;Iyad Rahwan.
Intelligent agents for automated one-to-many e-commerce negotiation
Iyad Rahwan;Ryszard Kowalczyk;Ha Hai Pham.
Towards an argument interchange format
Carlos Chesñevar;Jarred McGinnis;Sanjay Modgil;Iyad Rahwan.
Time-Critical Social Mobilization
Galen Pickard;Wei Pan;Iyad Rahwan;Iyad Rahwan;Manuel Cebrian.
Laying the foundations for a World Wide Argument Web
Iyad Rahwan;Fouad Zablith;Chris Reed.
Argumentation in Multi-Agent Systems
Michael Rovatsos;Iyad Rahwan;Felix Fischer;Gerhard Weiss.
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