Decision makers often save money for a specific goal by forgoing discretionaryconsumption and instead putting the money toward the savings goal. Wehypothesized that reference points can be exploited to enhance this type ofsaving. In two hypothetical scenario studies, subjects made judgments of theirlikelihood to forgo a small expenditure in order to put the money toward thesavings goal. In Experiment 1, judgments were higher if the savings goal waspresented as composed of weekly subgoals (e.g., save $60 per week to buya $180 iPod). Experiment 2 replicated this finding and demonstrated thatthe subgoal manipulation increased judgments of likelihood to save money onlywhen the money saved from the foregone consumption would allow the decisionmaker to meet the weekly subgoal exactly (not under or overshoot it). Theseresults suggest a reference point mechanism and point to ways that behavioraldecision research can be harnessed to improve economic behaviors.

This paper presents a design of an assembly sequence planner based on a “plan reuse” philosophy. Most of assembly planning research in the past has attempted to completely plan each problem from scratch. This research shows that stored cases of basic assembly configurations can be applied to a given assembly problem. It is observed that the number of such basic assembly configurations is quite small. The planner divides the assembly into a number of constituent configurations, which are called “loops”. These act as subgoals in its search for solutions. Plans retrieved for all subgoals are fused into a set of plans that are consistent with the constraints implied by each plan. Application specific constraints on the assembly are explicitly handled in the second phase of planning. Mechanisms for assembly representation and implementation details of the planner are also presented.