Rule-based programming under OPS5
Rule-based programming under OPS5
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
AgentSpeak(L): BDI agents speak out in a logical computable language
MAAMAW '96 Proceedings of the 7th European workshop on Modelling autonomous agents in a multi-agent world : agents breaking away: agents breaking away
Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Propositional planning in BDI agents
Proceedings of the 2004 ACM symposium on Applied computing
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Ordering Management Actions in Pervasive Systems using Specification-enhanced Policies
PERCOM '06 Proceedings of the Fourth Annual IEEE International Conference on Pervasive Computing and Communications
Hierarchical planning in BDI agent programming languages: a formal approach
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Generative Social Science: Studies in Agent-Based Computational Modeling (Princeton Studies in Complexity)
Goals in the context of BDI plan failure and planning
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 2
Decision-making in an embedded reasoning system
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Augmenting BDI agents with deliberative planning techniques
ProMAS'06 Proceedings of the 4th international conference on Programming multi-agent systems
Dynagent: an incremental forward-chaining HTN planning agent in dynamic domains
DALT'05 Proceedings of the Third international conference on Declarative Agent Languages and Technologies
An agent language with destructive assignment and model-theoretic semantics
CLIMA'10 Proceedings of the 11th international conference on Computational logic in multi-agent systems
Abductive logic programming agents with destructive databases
Annals of Mathematics and Artificial Intelligence
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Online planning agents can adapt to the dynamic environment by continuously modifying plans during the plan execution. This adaptability of the online planning agents is based on the assumption that they can recognise the events happening in the environment. However, robotic agents working in the real environment cannot obtain necessary information from the outer world by simply turning all sensors on while executing a plan. They have to actively sense the world by changing the direction of the sensor to the target, analysing the raw sensor data, extracting important information and recognising the situation. Online planning is useless if they cannot obtain necessary information from the world. Therefore, it is crucial to decide what events the agent needs to recognise in the background while executing a plan. To solve this problem, this paper introduces a new background sensing control technique by which planning agents can effectively observe the real environment and obtain important information when necessary during the plan execution.