Finding high quality plans for large planning problems is hard. Although some current anytime planners are often able to improve plans quickly, they tend to reach a limit at which the plans produced are still very far from the best possible, but these planners fail to find any further improvement, even when given several hours of runtime. We present an approach to continuing plan quality optimi...

To coordinate with other agents in its an environment, an agent needs models of what the other agents are trying to do. When communication is impossible or expensive, this information must be acquired indirectly via plan recognition. Typical approaches to plan recognition start with specification of the possible plans the other agents may be following and develop special techniques for discrimi...

Plan integrations and misconception of programming language constructs have been two major errors of novice programmers. A good design model can have a great impact on the effectiveness of these systems. A plan is an abstraction that visually provides a solution to a problem or to a subproblem representing a problem from its macro level down to its micro level. Any important concept is a plan a...

Plan rationale has been variously de ned as \why the plan is the way it is", and as \the reason as to why the planning decisions were taken" (PT98). The usefulness of storing plan rationale to help future planning has been demonstrated by several types of casebased planners. However, the existing techniques are unable to distinguish between planning decisions that, while leading to successful p...

This paper describes the XAP/1 assembly planning system. It begins by comparing the version of the assembly planning problem addressed by the XAP/1 system to other systems in terms of the range of operations allowed in plans, the degree of detail in which plans are described, the type of input data required, and the degree of optimization done on plans. The XAP/1 system is strongly oriented tow...

In many real world planning domains, some observation information is optional and useless to the execution of a plan; on the other hand, information acquisition may require some kind of cost. The problem of observation reduction for strong plans has been addressed in the literature. However, observation reduction for plans with contexts (which are more general and useful than strong plans in ro...

BACKGROUND Calls have been made for governments to adopt a cohesive approach to rare diseases through the development of national plans. At present, Australia does not have a national plan for rare diseases. To progress such a plan an inaugural Australian Rare Diseases Symposium was held in Western Australia in April 2011. This paper describes the key issues identified by symposium attendees fo...

The paper motivates and describes an approach for executing determini-stic plans in incompletely observable environments under possible action faults. For the application at hand, the plans happen to be path plans, and the domain modeling formalism used for monitoring execution is Partially Observable Markov Decision Processes (POMDPs). It is part of the application requirements that the plans ...

Automated Planning has been an active research topic for more than thirty years but only recently has it started to move in the direction of combining planning and execution to achieve what is sometimes called as Intelligent Reactive Planning. We propose Simulation-Based Planning (SBP) as a new way to perform intelligent reactive planning. SBP |unlike most other planning systems|integrates simu...