83 citations · 265 across the 27 of their papers we have counts for
7 papers · 1 filter
Representing and Reasoning with Multi-Stakeholder Qualitative Preference Queries
Samik Basu, Vasant Honavar, Ganesh Ram Santhanam +1
Many decision-making scenarios, e.g., public policy, healthcare, business, and disaster response, require accommodating the preferences of multiple stakeholders. We offer the first…
Advances in Artificial Intelligence Require Progress Across all of Computer Science
Gregory D. Hager, Randal Bryant, Eric Horvitz +2
Advances in Artificial Intelligence require progress across all of computer science.
Lifted Representation of Relational Causal Models Revisited: Implications for Reasoning and Structure Learning
Sanghack Lee, Vasant Honavar
Maier et al. (2010) introduced the relational causal model (RCM) for representing and inferring causal relationships in relational data. A lifted representation, called abstract gr…
CRISNER: A Practically Efficient Reasoner for Qualitative Preferences
Ganesh Ram Santhanam, Samik Basu, Vasant Honavar
We present CRISNER (Conditional & Relative Importance Statement Network PrEference Reasoner), a tool that provides practically efficient as well as exact reasoning about qualitativ…
Representing and Reasoning with Qualitative Preferences for Compositional Systems
Ganesh Ram Santhanam, Samik Basu, Vasant Honavar
Many applications, e.g., Web service composition, complex system design, team formation, etc., rely on methods for identifying collections of objects or entities satisfying some fu…
Causal Transportability of Experiments on Controllable Subsets of Variables: z-Transportability
Sanghack Lee, Vasant Honavar
We introduce z-transportability, the problem of estimating the causal effect of a set of variables X on another set of variables Y in a target domain from experiments on any subset…