Partial-Order Causal Link planners typically take a “least-commitment” approach to some decisions (notably, step ordering), postponing those decisions until constraints force them to be made. However, these planners rely to some degree on early commitments in making other types of decisions, including threat resolution and operator choice. We show why existing planners cannot support full least...

Rice production in most of Asian countries has been increased more rapidly than population and this has been led to increase in supply and proportionately decrease in the real price of rice in world and domestic markets. Furthermore, together with growth in production and national gross income of the country per-capita income has been increased and also demand for rice at national and internati...

Many of the previous methods for composing Web processes utilize either classical planning techniques such as hierarchical task networks (HTNs), or decision-theoretic planners such as Markov decision processes (MDPs). While offering a way to automatically compose a desired Web process, these techniques do not scale to large processes. In addition, classical planners assume away the uncertaintie...

There is mounting pressure on healthcare planners to manage and contain costs. In rural regions, there is a particular need to rationalize health service allocation to ensure the best possible coverage for a dispersed population. Rural health administrators need to be able to quantify the population affected by their allocation decisions and, therefore, need the capacity to incorporate spatial ...

This paper describes a fielded AI system in daily use at the European Space Agency (ESA-ESOC) since February 2005. The tool, named MEXAR2, provides continuous support to human mission planners in synthesizing plans for downlinking on-board memory data from the MARS EXPRESS spacecraft to Earth. The introduction of the tool in the mission planning workflow significantly decreased the time spent i...

Goals, as typically conceived in AI planning, provide an insuucient basis for choice of action, and hence are deecient as the sole expression of an agent's objectives. Decision-theoretic utilities ooer a more adequate basis , yet lack many of the computational advantages of goals. We provide a preferential semantics for goals that grounds them in decision theory and preserves the validity of so...