Most data mining algorithms assume static behavior of the incoming data. In the real world, the situation is different and most continuously collected data streams are generated by dynamic processes, which may change over time, in some cases even drastically. The change in the underlying concept, also known as concept drift, causes the data mining model generated from past examples to become le...

Following Vartiainen (2007) we consider bargaining problems in which no exogenous disagreement outcome is given. A bargaining solution assigns a pair of outcomes to such a problem, namely a compromise outcome and a disagreement outcome: the disagreement outcome may serve as a reference point for the compromise outcome, but other interpretations are given as well. For this framework we propose a...

In the framework of traditional transferable-utility (TU) models, participants are either entirely involved or not in interactive processes with some other participants. Based on distribution notion equal allocation non-separable costs (EANSC), all first receive their marginal contributions and further distribute remaining utilities equally. real-world situations, however, might adopt different...

Among the most important and robust violations of rationality are the attraction and the compromise effects. The compromise effect refers to the tendency of individuals to choose an intermediate option in a choice set, while the attraction effect refers to the tendency to choose an option that dominates some other options in the choice set. This paper argues that both effects may result from an...

Students often do not understand the difference between collaboration and compromise. Collaboration, also known as problem solving, an integrative solution, or a win-win solution is, ‘‘a strategy that involves seeking a mutually satisfactory alternative’’ (Pruitt & Kim, 2004, p. 297). Compromise, in contrast, is ‘‘an obvious alternative that stands partway between the disputants’ preferred posi...