Rens, GFerrein, AVan der Poel, E2009-08-052009-08-052009-06Rens, G, Ferrein, A and Van der Poel, E. 2009. BDI agent architecture for a POMDP planner. 9th International Symposium on Logical Formalization of Commonsense Reasoning: Commonsense 2009, Toronto, Canada, 1-3 June, 2009. pp 69780980284065http://hdl.handle.net/10204/35209th International Symposium on Logical Formalization of Commonsense Reasoning: Commonsense 2009, Toronto, Canada, 1-3 June 2009Traditionally, agent architectures based on the Belief-Desire-Intention (BDI) model make use of precompiled plans, or if they do generate plans, the plans do not involve stochastic actions nor probabilistic observations. Plans that do involve these kinds of actions and observations are generated by partially observable Markov decision process (POMDP) planners. In particular for POMDP planning, researchers make use of a POMDP planner which is implemented in the robot programming and plan language Golog. Golog is very suitable for integrating beliefs, as it is based on the situation calculus and researchers have drawn upon previous research on this. However, a POMDP planner on its own cannot cope well with dynamically changing environments and complicated goals. This is exactly strength of the BDI model; the model is for reasoning over goals dynamically. Therefore, in this paper, researchers propose an architecture that will lay the groundwork for architectures that combine the advantages of a POMDP planner written in the situation calculus, and the BDI model of agency. The researchers show preliminary results which can be seen as a proof of concept for integrating a POMDP into a BDI architectureenBelief-Desire-IntentionBDIArchitecturePOMDP plannerPOMDP modelPartially observable Markov decision processCommonsense reasoningGolog9th International Symposium on Logical Formalization of Commonsense ReasoningConference PresentationRens, G., Ferrein, A., & Van der Poel, E. (2009). BDI agent architecture for a POMDP planner. http://hdl.handle.net/10204/3520Rens, G, A Ferrein, and E Van der Poel. "BDI agent architecture for a POMDP planner." (2009): http://hdl.handle.net/10204/3520Rens G, Ferrein A, Van der Poel E, BDI agent architecture for a POMDP planner; 2009. http://hdl.handle.net/10204/3520 .TY - Conference Presentation AU - Rens, G AU - Ferrein, A AU - Van der Poel, E AB - Traditionally, agent architectures based on the Belief-Desire-Intention (BDI) model make use of precompiled plans, or if they do generate plans, the plans do not involve stochastic actions nor probabilistic observations. Plans that do involve these kinds of actions and observations are generated by partially observable Markov decision process (POMDP) planners. In particular for POMDP planning, researchers make use of a POMDP planner which is implemented in the robot programming and plan language Golog. Golog is very suitable for integrating beliefs, as it is based on the situation calculus and researchers have drawn upon previous research on this. However, a POMDP planner on its own cannot cope well with dynamically changing environments and complicated goals. This is exactly strength of the BDI model; the model is for reasoning over goals dynamically. Therefore, in this paper, researchers propose an architecture that will lay the groundwork for architectures that combine the advantages of a POMDP planner written in the situation calculus, and the BDI model of agency. The researchers show preliminary results which can be seen as a proof of concept for integrating a POMDP into a BDI architecture DA - 2009-06 DB - ResearchSpace DP - CSIR KW - Belief-Desire-Intention KW - BDI KW - Architecture KW - POMDP planner KW - POMDP model KW - Partially observable Markov decision process KW - Commonsense reasoning KW - Golog KW - 9th International Symposium on Logical Formalization of Commonsense Reasoning LK - https://researchspace.csir.co.za PY - 2009 SM - 9780980284065 T1 - BDI agent architecture for a POMDP planner TI - BDI agent architecture for a POMDP planner UR - http://hdl.handle.net/10204/3520 ER -