Towards a general theory of action and time
Artificial Intelligence
Artificial Intelligence
Can AI planners solve practical problems?
Computational Intelligence
Artificial Intelligence - Special issue on knowledge representation
Rationale for the Arden Syntax
Computers and Biomedical Research
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
The Grasper-CL graph management system
Lisp and Symbolic Computation
Artificial Intelligence - Special volume on planning and scheduling
An algorithm for probabilistic planning
Artificial Intelligence - Special volume on planning and scheduling
A general programming language for unified planning and control
Artificial Intelligence - Special volume on planning and scheduling
Common KADS Library for Expertise Modelling
Common KADS Library for Expertise Modelling
Proceedings: The Fourth International Conference on Artificial Intelligence Planning Systems
Proceedings: The Fourth International Conference on Artificial Intelligence Planning Systems
The Challenges of Real-Time AI
Computer
Extending Planning Graphs to an ADL Subset
ECP '97 Proceedings of the 4th European Conference on Planning: Recent Advances in AI Planning
AIME '97 Proceedings of the 6th Conference on Artificial Intelligence in Medicine in Europe
PRODIGY 4.0: The Manual and Tutorial
PRODIGY 4.0: The Manual and Tutorial
Knowledge-based experiment design in molecular genetics
Knowledge-based experiment design in molecular genetics
Adaptive execution in complex dynamic worlds
Adaptive execution in complex dynamic worlds
Roots of SPAR — Shared Planning and Activity Representation
The Knowledge Engineering Review
From Informal Knowledge to Formal Logic: A Realistic Case Study in Medical Protocols
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
Execution-Time Plan Management for a Cognitive Orthotic System
Revised Papers from the International Seminar on Advances in Plan-Based Control of Robotic Agents,
Improving HISYS1 with a Decision Support System
AIME '01 Proceedings of the 8th Conference on AI in Medicine in Europe: Artificial Intelligence Medicine
Using ECA Rules in Database Systems to Support Clinical Protocols
DEXA '02 Proceedings of the 13th International Conference on Database and Expert Systems Applications
UCTx: A Multi-Agent System to Assist a Transplant Coordination Unit
Applied Intelligence
Temporal reasoning for decision support in medicine
Artificial Intelligence in Medicine
Combining task execution and background knowledge for the verification of medical guidelines
Knowledge-Based Systems
Verification of Medical Guidelines Using Background Knowledge in Task Networks
IEEE Transactions on Knowledge and Data Engineering
Hierarchical Classifiers for Complex Spatio-temporal Concepts
Transactions on Rough Sets IX
CareVis: Integrated visualization of computerized protocols and temporal patient data
Artificial Intelligence in Medicine
Improving medical protocols by formal methods
Artificial Intelligence in Medicine
An agent-based application of personal health record in homecare
Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments
AI planning technology as a component of computerised clinical practice guidelines
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
Verification of temporal scheduling constraints in clinical practice guidelines
Artificial Intelligence in Medicine
Logistic-based patient grouping for multi-disciplinary treatment
Artificial Intelligence in Medicine
Decision support tools for clinical trial design
Artificial Intelligence in Medicine
Editorial: AI planning and scheduling in the medical hospital environment
Artificial Intelligence in Medicine
Continual planning and scheduling for managing patient tests in hospital laboratories
Artificial Intelligence in Medicine
Toward interactive scheduling systems for managing medical resources
Artificial Intelligence in Medicine
AI in medicine on its way from knowledge-intensive to data-intensive systems
Artificial Intelligence in Medicine
An Android-Enabled PHR-based System for the Provision of Homecare Services
International Journal of Measurement Technologies and Instrumentation Engineering
A knowledge-based architecture for the management of patient-focused care pathways
Applied Intelligence
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The need to improve the quality of health care has led to a strong demand for clinical protocols and computer systems supporting both their creation and execution. Current approaches in the planning community concentrate on algorithmic improvements, but mostly fail in medical applications. Planning approaches are based on assumptions like deterministic behavior, which do not hold in medical domains. Additionally, they do not cover the problem area of acquisition and verifying complex domain knowledge. In the field of medicine there is a strong movement towards clinical protocols – resembling plans in AI – but computer support during execution of these plans (e.g., controlling, selection of alternatives) is still basic. We need to build complex plans, but also to reason about them in different ways in order to modify plans, to consider the effects of different plans over time, and to monitor execution. We call this range of reasoning tasks plan management. We describe the requirements for these intertwined tasks of plan management so as to respond to the practical demands, to compare approaches in planning and medical informatics to these requirements, and finally, to discuss how our Asgaard project can meet them.