Tutorial on Judgment Aggregation at IMS, Singapore

Judgment aggregation is an area of social choice theory concerned with the study of methods for amalgamating the views of different agents regarding the truth of a number of mutually dependent propositions expressed in a logical language. Originating in Philosophy and Economics, judgment aggregation has recently caught the attention of researchers in Computer Science and Artificial Intelligence. This is due not only to its appeal as a rich modelling framework for collective decision making, but also to the exciting algorithmic questions raised by the framework. This tutorial will provide an introduction to the field.

• Lecturer: Ulle Endriss (ILLC, University of Amsterdam)
• Venue: IMS Programme on Algorithmic Game Theory and Computational Social Choice, Institute for Mathematical Sciences, Singapore, 21 January 2013
• Slides: PDF

Further reading:

• U. Endriss. Logic and Social Choice Theory. In A. Gupta and J. van Benthem (eds.), Logic and Philosophy Today, College Publications, 2011. [Section 5]
• C. List. The Theory of Judgment Aggregation: An Introductory Review. Synthese, 187(1):179-207, 2012.
• D. Grossi and G. Pigozzi. Introduction to Judgment Aggregation. In N. Bezhanishvili and V. Goranko (eds.), Lectures on Logic and Computation, Springer-Verlag, 2012.
• U. Endriss, U. Grandi, and D. Porello. Complexity of Judgment Aggregation. Journal of Artificial Intelligence Research (JAIR), 45:481-514, 2012.

I have previously delivered a similar tutorial at WINE-2012. For additional material, consult the website of my course on computational social choice, given annually at the ILLC.