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Reaching some form of consensus is often necessary for autonomous agents thatwant to coordinate their actions or otherwise engage in joint activities. Oneway to reach a consensus is by aggregating individual information, such asdecisions, beliefs, preferences and constraints. Judgment aggregation is asocial choice method, which generalises voting, that studies the aggregation ofindividual judgments regarding the truth-value of logically relatedpropositions. As such, judgment aggregation is applicable for consensusreaching problems in multi agent systems. As other social choice theory,judgment aggregation research is abundant with impossibility results. However,the aim of this tutorial is to give an introduction to the methods of judgmentaggregation, not the impossibility results. In particular, the tutorial willintroduce the basic frameworks that model judgment aggregation problems andgive an overview of the judgment aggregation functions so far developed as wellas their social theoretic and computational complexity properties. The focus ofthe tutorial are consensus reaching problems in multi agent systems that can bemodelled as judgment aggregation problems. The desirable properties of ajudgment aggregation method applied to these problems are not necessarily thesame as properties desirable in legal or political contexts, which isconsidered to be the native domain of judgment aggregation. After this tutorialthe participants are expected to be able to read and understand judgmentaggregation literature and have a grasp on the state-of-the-art and openquestions in judgment aggregation research of interest to multi agent systems.

An Introductory Course to Judgment Aggregation