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...
When using a planner-based agent architecture, many things can go wrong. First and foremost, an agent might fail to execute one of the planned actions for some reasons. Even more ...
In this paper, we present a replanning algorithm for a decision-theoretic hierarchical planner, illustrate the experimental methodology we designed to investigate its performance,...
The Multi-Agent Distributed Goal Satisfaction (MADGS) system facilitates distributed mission planning and execution in complex dynamic environments with a focus on distributed goal...
: In this article we analyze the current state of case-based plan adaptation research. We include the traditional distinction between transformational and derivational analogy but ...