44 citations · 68 across the 8 of their papers we have counts for
8 papers
Weighted Rules under the Stable Model Semantics
Joohyung Lee, Yi Wang
We introduce the concept of weighted rules under the stable model semantics following the log-linear models of Markov Logic. This provides versatile methods to overcome the determi…
Fuzzy Propositional Formulas under the Stable Model Semantics
Joohyung Lee, Yi Wang
We define a stable model semantics for fuzzy propositional formulas, which generalizes both fuzzy propositional logic and the stable model semantics of classical propositional form…
Bridging Commonsense Reasoning and Probabilistic Planning via a Probabilistic Action Language
Yi Wang, Shiqi Zhang, Joohyung Lee
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 commonsens…
Elaboration Tolerant Representation of Markov Decision Process via Decision-Theoretic Extension of Probabilistic Action Language pBC+
Yi Wang, Joohyung Lee
We extend probabilistic action language pBC+ with the notion of utility as in decision theory. The semantics of the extended pBC+ can be defined as a shorthand notation for a decis…
Weight Learning in a Probabilistic Extension of Answer Set Programs
Joohyung Lee, Yi Wang
LPMLN is a probabilistic extension of answer set programs with the weight scheme derived from that of Markov Logic. Previous work has shown how inference in LPMLN can be achieved.…
A Probabilistic Extension of Action Language BC+
Joohyung Lee, Yi Wang
We present a probabilistic extension of action language BC+. Just like BC+ is defined as a high-level notation of answer set programs for describing transition systems, the propose…