A syntactic theory of belief and action
Artificial Intelligence
Planning for conjunctive goals
Artificial Intelligence
Practical planning: extending the classical AI planning paradigm
Practical planning: extending the classical AI planning paradigm
Proceedings of the first international conference on Principles of knowledge representation and reasoning
ADL: exploring the middle ground between STRIPS and the situation calculus
Proceedings of the first international conference on Principles of knowledge representation and reasoning
Systematic and nonsystematic search strategies
Proceedings of the first international conference on Artificial intelligence planning systems
Conditional nonlinear planning
Proceedings of the first international conference on Artificial intelligence planning systems
Omnipotence without omniscience: efficient sensor management for planning
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
An algorithm for probabilistic planning
Artificial Intelligence - Special volume on planning and scheduling
A Computer Model of Skill Acquisition
A Computer Model of Skill Acquisition
Planning under uncertainty some key issues
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Planning executing sensing and replanning for information gathering
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Extending Graphplan to handle uncertainty and sensing actions
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Conditional, probabilistic planning: a unifying algorithm and effective search control mechanisms
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
When policies are better than plans: decision-theoretic planning of recommendation sequences
Proceedings of the 6th international conference on Intelligent user interfaces
Why the elf acted autonomously: towards a theory of adjustable autonomy
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
Replanning in a Resource-Based Framework
Proceedings of the 9th ECCAI-ACAI/EASSS 2001, AEMAS 2001, HoloMAS 2001 on Multi-Agent-Systems and Applications II-Selected Revised Papers
The Implementation of a Robotic Replanning Framework
ADVIS '02 Proceedings of the Second International Conference on Advances in Information Systems
Linear Time Logic, Conditioned Models, and Planning with Incomplete Knowledge
TABLEAUX '02 Proceedings of the International Conference on Automated Reasoning with Analytic Tableaux and Related Methods
A Planning under Uncertainty Model
Computer Aided Systems Theory - EUROCAST 2001-Revised Papers
Planning under Incomplete Knowledge
CL '00 Proceedings of the First International Conference on Computational Logic
A logic programming approach to knowledge-state planning, II: the DLVk system
Artificial Intelligence
Weak, strong, and strong cyclic planning via symbolic model checking
Artificial Intelligence - special issue on planning with uncertainty and incomplete information
Contingent planning under uncertainty via stochastic satisfiability
Artificial Intelligence - special issue on planning with uncertainty and incomplete information
Bridging the gap between planning and scheduling
The Knowledge Engineering Review
A logic programming approach to knowledge-state planning: Semantics and complexity
ACM Transactions on Computational Logic (TOCL)
Strong planning under partial observability
Artificial Intelligence
Fast Dynamic Re-planning of Composite OWL-S Services
WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology
Theory and Practice of Logic Programming
Multi-behavior agent model for planning in supply chains: An application to the lumber industry
Robotics and Computer-Integrated Manufacturing
Fast and Informed Action Selection for Planning with Sensing
Current Topics in Artificial Intelligence
Applied Artificial Intelligence
Task decomposition on abstract states, for planning under nondeterminism
Artificial Intelligence
Reasoning about actions with imprecise and incomplete state descriptions
Fuzzy Sets and Systems
An anytime approach for on-line planning
Proceedings of the 2005 conference on Artificial Intelligence Research and Development
Forward-chaining planning in nondeterministic domains
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Regression with respect to sensing actions and partial states
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Robust periodic planning and execution for autonomous spacecraft
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Constructing conditional plans by a theorem-prover
Journal of Artificial Intelligence Research
A possibilistic planner that deals with non-determinism and contingency
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Heuristic search + symbolic model checking = efficient conformant planning
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Planning in nondeterministic domains under partial observability via symbolic model checking
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Planning and acting in partially observable stochastic domains
Artificial Intelligence
Strong planning under partial observability
Artificial Intelligence
A translation-based approach to contingent planning
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Constraint-based agents: an architecture for constraint-based modeling and local-search-based reasoning for planning and scheduling in open and dynamic worlds
An overview of planning under uncertainty
Artificial intelligence today
Active learning of plans for safety and reachability goals with partial observability
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Exception handling in web service processes
The evolution of conceptual modeling
On-line planning and scheduling: an application to controlling modular printers
Journal of Artificial Intelligence Research
Planning under continuous time and resource uncertainty: a challenge for AI
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Approximately optimal monitoring of plan preconditions
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
An on-line approach for planning in time-limited situations
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
Achieving conditional plans through the use of classical planning algorithms
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
Planning under uncertainty and its applications
Reasoning, Action and Interaction in AI Theories and Systems
AI planning technology as a component of computerised clinical practice guidelines
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
Planning for Reasoning with Multiple Common Sense Knowledge Bases
ACM Transactions on Interactive Intelligent Systems (TiiS) - Special Issue on Common Sense for Interactive Systems
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A fundamental assumption made by classical AI planners is that there is no uncertainty in the world: the planner has full knowledge of the conditions under which the plan will be executed and the outcome of every action is fully predictable. These planners cannot therefore construct contingency plans, i.e., plans in which diffierent actions are performed in diffierent circumstances. In this paper we discuss some issues that arise in the representation and construction of contingency plans and describe Cassandra, a partial-order contingency planner. Cassandra uses explicit decision-steps that enable the agent executing the plan to decide which plan branch to follow. The decision-steps in a plan result in subgoals to acquire knowledge, which are planned for in the same way as any other subgoals. Cassandra thus distinguishes the process of gathering information from the process of making decisions. The explicit representation of decisions in Cassandra allows a coherent approach to the problems of contingent planning, and provides a solid base for extensions such as the use of diffierent decision-making procedures.