Current planning systems often fail to represent the reasons why certain planning decisions are made. Explicit representation of this Plan Rationale is crucial for automated plan m...
The Multiagent Planning Architecture (MPA) is a framework for integrating diverse technologies into a system capable of solving complex planning problems. Agents within MPA share ...
This paper explores the application of multiobjective Genetic Algorithms (mGAs) to rural land use planning, a spatial allocation problem. Two mGAs are proposed. Both share an unde...
Keith B. Matthews, Susan Craw, Stewart Elder, Alan...
We consider the problem of representing plans for mixed-initiative planning, where several participants cooperate to develop plans. We claim that in such an environment, a crucial...
As planning agents grow more sophisticated, issues of plan representation arise alongside concerns with plan generation. Planning methods work over increasingly large and difficul...