AI planning systems have traditionally operated as stand-alone blackboxes, taking a description of a domain and a set of goals, and automatically synthesizing a plan for achieving those goals. Such designs severely restrict the in uence that users can have on the resultant plans. This paper describes an Advisable Planner framework that marries an advice-taking interface to AI planning technolog...

Existing plan synthesis approaches in artiicial intelligence fall into two categories { domain independent and domain dependent. The domain independent approaches are applicable across a variety of domains, but may not be very eecient in any one given domain. The domain dependent approaches need to be (re)designed for each domain separately, but can be very eecient in the domain for which they ...

Effective coordination of distributed human planners requires timely communication of relevant information to ensure the overall coherence of activities and the compatibility of assumptions. This paper presents a system called CODA that provides targeted information dissemination among distributed human planners as a way of improving coordination. Within CODA, each planner declares interest in ...

Urban designers and city planners are increasingly interested in how streets can support social activities. Street-based activities influenced by relationships between the street’s physi...

BACKGROUND Knowledge-based planning (KBP) is a promising technique that can improve plan quality and increase planning efficiency. However, no attempts have been made to extend the domain of KBP for planners with different planning experiences so far. The purpose of this study was to quantify the potential gains for planners with different planning experiences after implementing KBP in intensit...

In this paper, we develop techniques for using classical planning systems to provide decision support to human planners: specifically to help human planners identify and fix problems in their plans that can arise from uncontrolled events in the execution environment. Most automated planning systems assume that the objective of the system is to generate a plan that will achieve some goal or goal...