Formal theories of knowledge in AI and robotics
New Generation Computing
Planning-based control of interface animation
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Automatic OBDD-based generation of universal plans in non-deterministic domains
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
Intelligent Agents: The Key Concepts
Proceedings of the 9th ECCAI-ACAI/EASSS 2001, AEMAS 2001, HoloMAS 2001 on Multi-Agent-Systems and Applications II-Selected Revised Papers
Adaptive Simulation: An Implementation Framework
SEAL'98 Selected papers from the Second Asia-Pacific Conference on Simulated Evolution and Learning on Simulated Evolution and Learning
A Hierarchy of Qualitative Representations for Space
Spatial Cognition, An Interdisciplinary Approach to Representing and Processing Spatial Knowledge
Learning Hierarchical Skills from Observation
DS '02 Proceedings of the 5th International Conference on Discovery Science
Planning and acting in partially observable stochastic domains
Artificial Intelligence
Learning to act using real-time dynamic programming
Artificial Intelligence
Computational research on interaction and agency
Artificial Intelligence
An architecture for adaptive intelligent systems
Artificial Intelligence
Autonomy (what's it good for?)
PerMIS '07 Proceedings of the 2007 Workshop on Performance Metrics for Intelligent Systems
Automated composition of Web services via planning in asynchronous domains
Artificial Intelligence
Model learning for reactive motion planning in assisting robots
MIC '08 Proceedings of the 27th IASTED International Conference on Modelling, Identification and Control
Sheepdog, parallel collaborative programming-by-demonstration
Knowledge-Based Systems
Robotics and Autonomous Systems
Action and planning in embedded agents
Robotics and Autonomous Systems
Situated agents can have goals
Robotics and Autonomous Systems
Internalized plans: A representation for action resources
Robotics and Autonomous Systems
Concurrent reactive plans: anticipating and forestalling execution failures
Concurrent reactive plans: anticipating and forestalling execution failures
Plan-based control of robotic agents: improving the capabilities of autonomous robots
Plan-based control of robotic agents: improving the capabilities of autonomous robots
Handling uncertainty in control of autonomous robots
Artificial intelligence today
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Planning for temporally extended goals
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Anytime synthetic projection: maximizing the probability of goal satisfaction
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
A hierarchical planner that generates its own hierarchies
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
Learning general completable reactive plans
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
Becoming increasingly reactive
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
An efficient reactive planner for synthesizing reactive plans
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 2
Reinforcement learning with a hierarchy of abstract models
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
A comparison of action-based hierarchies and decision trees for real-time performance
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
Planning with deadlines in stochastic domains
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
Detecting and reacting to unplanned-for world states
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
State agnostic planning graphs: deterministic, non-deterministic, and probabilistic planning
Artificial Intelligence
Probabilistic rule learning in nonmonotonic domains
CLIMA'11 Proceedings of the 12th international conference on Computational logic in multi-agent systems
Approximately optimal monitoring of plan preconditions
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Plan development using local probabilistic models
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
A structured, probabilistic representation of action
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
SEaM: analyzing schedule executability through simulation
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
Managing a non-linear scenario – a narrative evolution
ICVS'05 Proceedings of the Third international conference on Virtual Storytelling: using virtual reality technologies for storytelling
Modeling disturbance management in anesthesia: A preliminary report
Artificial Intelligence in Medicine
Guaranteeing real-time response with limited resources
Artificial Intelligence in Medicine
Learning in behavior-based multi-robot systems: policies, models, and other agents
Cognitive Systems Research
Map-based navigation in mobile robots
Cognitive Systems Research
A universal planning system for hybrid domains
Applied Intelligence
Reasoning about agent programs using ATL-Like logics
JELIA'12 Proceedings of the 13th European conference on Logics in Artificial Intelligence
Learning revised models for planning in adaptive systems
Proceedings of the 2013 International Conference on Software Engineering
Fault-tolerant planning under uncertainty
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Using strategic logics to reason about agent programs
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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To date, reactive robot behavior has been achieved only through manual programming. This paper describes a new kind of plan, called a "universal plan", which can be synthesized automatically, yet generates appropriate behavior in unpredictable environments. In classical planning work, problems were posed with unique initial and final world states; in my approach a problem specifies only a goal condition. The planner is thus unable to commit to any specific future course of events but must specify appropriate reactions for anticipated situations. An alternative conception is that one universal plan compactly represents every classical plan. Which part of the universal plan is executed depends entirely on how the environment behaves at execution time. Universal plans are constructed from state-space operator schemas by a nonlinear planner. They explicitly identify predicates requiring monitoring at each moment of execution, and provide for sabotage, serendipity and failure without requiring replanning.