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1. Bridging Commonsense Reasoning and Probabilistic Planning via a Probabilistic Action Language

   https://doi.org/10.1017/S1471068419000371  

   WANG, YI ; ZHANG, SHIQI ; LEE, JOOHYUNG ( September 2019 , Theory and Practice of Logic Programming)

   Abstract To be responsive to dynamically changing real-world environments, an intelligent agent needs to perform complex sequential decision-making tasks that are often guided by commonsense knowledge. The previous work on this line of research led to the framework called interleaved commonsense reasoning and probabilistic planning (i corpp ), which used P-log for representing commmonsense knowledge and Markov Decision Processes (MDPs) or Partially Observable MDPs (POMDPs) for planning under uncertainty. A main limitation of i corpp is that its implementation requires non-trivial engineering efforts to bridge the commonsense reasoning and probabilistic planning formalisms. In this paper, we present a unified framework to integrate i corpp ’s reasoning and planning components. In particular, we extend probabilistic action language pBC + to express utility, belief states, and observation as in POMDP models. Inheriting the advantages of action languages, the new action language provides an elaboration tolerant representation of POMDP that reflects commonsense knowledge. The idea led to the design of the system pbcplus2pomdp , which compiles a pBC + action description into a POMDP model that can be directly processed by off-the-shelf POMDP solvers to compute an optimal policy of the pBC + action description. Our experiments show that it retains the advantages of i corpp while avoiding the manual efforts in bridging the commonsense reasoner and the probabilistic planner. 

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2. Probabilistic Grid Strength Assessment of Power Systems with Uncertain Renewable Generation based on Probabilistic Collocation Method

   https://doi.org/10.1109/PMAPS53380.2022.9810616  

   Maharjan, Manisha ; Ekic, Almir ; Wu, Di ( July 2022 , 2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS))
3. Bridging Commonsense Reasoning and Probabilistic Planning via a Probabilistic Action Language

   Wang, Yi ; Zhang, Shiqi ; Lee, Joohyung ( October 2019 , 35th International Conference on Logic Programming (ICLP 2019))
4. Two-Dimensional Probabilistic Infiltration Analysis in a Hillslope Using First-Order Moment Approach: Two-Dimensional Probabilistic Infiltration Analysis in a Hillslope Using First-Order Moment Approach

   https://doi.org/10.1111/gwat.12791  

   Tang, Rui-Xuan ; Cai, Jing-Sen ; Yeh, Tian-Chyi Jim ( May 2018 , Groundwater)
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   https://doi.org/10.1002/nag.2701  

   Sadrinezhad, Arezoo ; Sett, Kallol ; Hariharan, S. I. ( December 2017 , International Journal for Numerical and Analytical Methods in Geomechanics)