Bridging Social Network Analysis and Judgment Aggregation

in Proceedings of the 6th International Conference on Social Informatics (2014)

Social Network Analysis for Judgment Aggregation

in Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (2014)

The majority of work in judgment aggregation is devoted to the study of impossibility results. However the (social) dependencies that may exist between the voters has received less attention. In this ... [more ▼]

The majority of work in judgment aggregation is devoted to the study of impossibility results. However the (social) dependencies that may exist between the voters has received less attention. In this extended abstract we use the degree centrality measure from social network analysis and obtain a correspondence between the average voter rule and this measure, and show that approach can lead to more resolute outcomes in the voting process. [less ▲]

Argument Revival in Annotated Argumentation Networks

Scientific Conference (2013, December)

This work explores the revival of arguments in abstract argumentation theory. A revived argument is an argument that is put forward in a specific context, but is somehow put aside because it did not seem ... [more ▼]

This work explores the revival of arguments in abstract argumentation theory. A revived argument is an argument that is put forward in a specific context, but is somehow put aside because it did not seem relevant to the discussion or it has been denied, and then becomes useful in another context when a similar argument emerges. We obtain necessary conditions for argument revival using real-world examples and show that a recently proposed temporal argumentation framework cannot account for argument revival. Next, we propose an algorithm for argument revival that uses arguments annotated by a context label. This algorithm determines what arguments can be revived using the context neighborhood, the attack relations and a revival policy. [less ▲]

Multi-Cycle Query Caching in Agent Programming

Scientific Conference (2013)