Abstract

Often institutions or individuals are faced with decisions where not all claims can be satisfied. Sometimes, these claims will be of differing strength. In such cases, it must be decided whether or not weaker claims can be aggregated in order to collectively defeat stronger claims. Many are attracted to a view, which this chapter calls Limited Aggregation, where this is sometimes acceptable and sometimes not. A new version of this view, Local Relevance, has recently emerged. This chapter seeks to explore and evaluate this view. In order to do so, the chapter offers a more precise interpretation of this basic approach, calling it ‘Sequential Claims-Matching’. The chapter shows how Sequential Claims-Matching avoids problems that dog other Limited Aggregation views but suffers from difficulties and ambiguities of its own. In particular, the chapter shows that it is hard to accommodate some core Limited Aggregation intuitions around tie-break cases within the Local Relevance view.