In following the policy of the University of Amsterdam (UvA), this event has been cancelled due to recent measures being implemented to prevent the further spreading of the new Coronavirus (COVID-19).
|Date||16 March 2020|
The UvA (and by extension AUC) is following the measures and recommendations of the National Institute for Public Health and the Environment (RIVM) and the Public Health Service of Amsterdam (GGD). Based on these recommendations, the UvA has implemented a number of policies in order to better protect the health and safety of students and staff. Among these policies is that all events at the University of Amsterdam (and therefore AUC) have been cancelled until at least 6 April.
AUC is a joint programme of VU Amsterdam and the University of Amsterdam. In the case of additional measures related to the new Coronavirus, AUC will operationally function under the UvA. For more information about how these new measures may impact teaching, events or other procedures at AUC, please visit uva.nl/coronavirus.
This lecture will be an introduction to the theory of judgment aggregation (JA). JA deals with the problem of combining the views of several individual agents regarding the truth of a number of propositions, expressed in the language of logic, into a single such view that appropriately reflects the stance of the group as a whole. Applications of JA range from aggregating the opinions of several judges in a court of law into a single legal opinion, all the way to aggregating information received from several autonomous software agents in the context of distributed computing systems.
|Speaker:||Ulle Endriss is an Associate Professor at the Institute for Logic, Language and Computation (ILLC) at the University of Amsterdam. His research concerns the use of formal methods in artificial intelligence, specifically in multiagent systems and knowledge representation. In recent years, Endriss has mostly focused on problems at the interface of artificial intelligence with economics and political science, and much of this work falls under the heading of computational social choice. Specific research topics in this domain include preference modelling, voting theory, judgment aggregation, fair division, negotiation and auctions. He has also worked on agent communication languages, automated reasoning, abduction, modal and temporal logics, and software tools for teaching logic.|
Amsterdam University College
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