Generating production-quality plans is an essential element in transforming planners from research tools into real-world applications. However most of the work to date on learning planning control knowledge has been aimed at improving the efficiency of planning; this work has been termed “speed-up learning”. This paper focuses on learning control knowledge to guide a planner towards better solu...

The prospect of assisting disabled patients by translating neural activity from the brain into control signals for prosthetic devices, has flourished in recent years. Current systems rely on neural activity present during natural arm movements. We propose here that neural activity present before or even without natural arm movements can provide an important, and potentially advantageous, source...

Current AI planners are good at generating a solution that satisfies the goals that they are given. Some planners provide facilities to control the quality of the solution to be returned, such as evaluation functions or search control rules. However, they do not usually integrate quality considerations across several plans. In addition, there is not enough data on the adequacy of these represen...

This article reports the results of several field experiments designed to measure campaign effects in partisan contests. The findings suggest incumbent campaigns failed to increase incumbent vote share, whereas the challenger campaign was effective. To understand these and other results, the incumbent’s optimal spending strategy was analyzed theoretically. The analysis reveals that if incumbent...

The NHS Plan welcomes the use of team rewards but does not specify how team based incentives are to be implemented or make clear what types of teams such incentives are to be given to. This paper looks for insights from economic theory on how to define teams and optimal incentive schemes within them. We give a brief description of the incentive mechanisms suggested in the NHS Plan and discuss t...

Recent models of procrastination due to self-control problems assume that a procrastinator considers just one option and is unaware of her self-control problems. We develop a model where a person chooses from a menu of options and is partially aware of her self-control problems. This menu model replicates earlier results and generates new ones. A person might forgo completing an attractive opti...

In the field of radiation therapy, much of the research is aimed at developing new and innovative techniques for treating cancer patients with radiation. In recent years, new treatment machines have been developed that provide a much greater degree of computer control than was available with the machines of previous generations. One innovation has been the development of an approach called “tom...

This paper describes an extension to the RAP system task-net semantics and representation language to enable the effective control of continuous processes. The representation addresses the problems of synchronizing plan expansion with events in the world, coping with multiple, non-deterministic task outcomes, and the description of a simple form of clean-up task. It is also pointed out that suc...