Party preference representation

Tri-Party Deep Network Representation

Information network mining often requires examination of linkage relationships between nodes for analysis. Recently, network representation has emerged to represent each node in a vector format, embedding network structure, so off-the-shelf machine learning methods can be directly applied for analysis. To date, existing methods only focus on one aspect of node information and cannot leverage no...

Representation of Requirements Through Preference

Constraint satisfaction problems have generally been recognized as a useful framework for the representation of many AI problems. Several notions of soft constraints have been suggested to infer uncertain knowledge as well as formulate optimization tasks. Additionally, the ability to represent it optional expert requirements on schedules or plans by certain forms of soft constraints has been cl...

Bankrupt Representation and Party System Collapse

On party-proportional representation under district distortions

The paper presents the problem of choosing the representatives in an assembly when the whole electoral region is subdivided into electoral districts. Because of the two dimensions, geographical (districts) and political (parties), the problem is called bi-apportionment. Often the allocation of seats to districts is pre-determined and furthermore distorted —meaning that the ratios of the number ...

Electoral Markets, Party Strategies, and Proportional Representation

Following Kreuzer’s (2010) methodological pleas, I first reflect, at the conceptual level, on the ways in which historical research and political science should be related to each other. I then apply some of those considerations to examine two key “moments” in the theory (and history) of institutional choice that I first presented in Boix (1999): the underlying conditions that shaped the intere...