We present a novel reactive execution model for planning control applications which repairs plan failures at runtime. Our proposal is a domain-independent regression planning model which provides good-quality responses in a timely fashion. The use of a regressed model allows us to work exclusively with the sufficient and necessary information to deal with the plan failure. The model performs a ...

BDI-based agent programming languages are well-known technologies for implementing autonomous agents in dynamic environments. Supporting robot programming however requires the plan representation and execution control capabilities of these languages to be extended for 1-) controlling and monitoring the execution of actions in complex arrangements and 2-) coordinating the parallel execution of p...

The paper presents APPEAL, a three-layer mobile robot control Architecture for Projection-based Planning, Execution and Learning, with a focus on its execution layer. Besides task decomposition and failure recovery, it supports the projection of navigation plans based on learned models of navigation actions. Plan projection is applied to detect opportunities for improving the robot’s navigation...

The yards of the Aker Group in Norway have been using network techniques and ad hoc methods for planning and control for many years. The systems used have not been satisfactory, and a new moelling tool was devised for the yards. The basic building block of this tool is considerably more powerful than the activity of the traditional networks. It is called a Component, and carries both its own da...

Editor – Nelson Mandela’s call for unity at the XIIIth International AIDS Conference (1) highlighted the need for all countries to combine their efforts in the fight against the HIV/AIDS epidemic, particularly in the developing world where HIV infection is mainly concentrated. Most major public health programmes implemented by the governments of developing countries have been planned or advised...

This paper addresses the search control problem of selecting which plan to refine next for decision-theoretic planners, a choice point common to the decision theoretic planners created to date. Such planners can make use of a utility function to calculate bounds on the expected utility of an abstract plan. Three strategies for using these bounds to select the next plan to refine have been propo...

This study aimed to describe and evaluate dengue patterns after the implementation of the National Dengue Control Plan (PNCD). Incidence rates were analyzed and correlated with previous rates and climatic, demographic, and socioeconomic variables for the Brazilian municipalities that were targeted for priority dengue control. We conducted descriptive studies of epidemiological indicators after ...

O Plan is an AI planner based on previous experience with the Nonlin planner and its deriva tives Nonlin and other similar planning systems had limited control architectures and were only partially successful at limiting their search spaces O Plan is a design and implementation of a more exible system aimed at supporting planning research and development opening up new planning methods and supp...

OBJECTIVE To measure the return on investment (ROI) for a pediatric asthma pay-for-reporting intervention initiated by a Medicaid managed care plan in New York State. DESIGN Practice-level, randomized prospective evaluation. SETTING Twenty-five primary care practices providing care to children enrolled in the Monroe Plan for Medical Care (the Monroe Plan). PARTICIPANTS Practices were rand...