A Bayesian model of plan recognition
Artificial Intelligence
Diagnostic reasoning and planning in exploratory-corrective domains
Diagnostic reasoning and planning in exploratory-corrective domains
Journal of Artificial Intelligence in Education
Critiquing: effective decision support in time-critical domains
Critiquing: effective decision support in time-critical domains
Plan Recognition and Evaluation for On-line Critiquing
User Modeling and User-Adapted Interaction
Techniques for Plan Recognition
User Modeling and User-Adapted Interaction
Integrating text plans for conciseness and coherence
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Abductive completion of plan sketches
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
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Domains such as multiple trauma management, in which there are multiple interacting goals that change over time, are ones in which plan recognition's standard inductive bias towards a single explanatory goal is inappropriate. In this paper we define and argue for an alternative bias based on identifying contextually "relevant" goals. We support this claim by showing how a complementary planning system in Traum AID 2.0, a decision-support system for the management of multiple trauma, allows us to define a four-level scale of relevance and therefore, of measurable deviations from relevance. This in turn allows definition of a bias towards relevance in the incremental recognition of physician plans by Traum-AID's critiquing interface, TraumaTIQ.