UTCS Artificial Intelligence
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Texas Action Group
Director:
Vladimir Lifschitz
Texas Action Group at Austin is a research group within the Department of Computer Science of the University of Texas at Austin. The group is led by Vladimir Lifschitz. It is part of a larger community, Texas Action Group. We work in the area of logic-based Artificial Intelligence. Specifically, we are interested in the study of formal and automated reasoning about the effects of actions, in answer set programming and its applications, and in designing new answer set solvers.
People
1-10
11
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Esra Erdem
Selim T. Erdoğan
Paolo Ferraris
Neelakantan Kartha
Joohyung Lee
Yuliya Lierler
Vladimir Lifschitz
Norman McCain
Wanwan Ren
Hudson Turner
Publications
1-20
21-40
41-60
61-80
81-100
101-118
View All 118
Stable Models and Circumscription
(2010)
One More Decidable Class of Finitely Ground Programs
(2009)
Symmetric Splitting in the General Theory of Stable Models
(2009)
Knowledge Representation and Question Answering
(2008)
Knowledge Representation and Classical Logic
(2008)
Logic Programs vs. First-order Formulas in Textual Inference
(2008)
Abstract Answer Set Solvers
(2008)
A Reductive Semantics for Counting and Choice in Answer Set Programming
(2008)
What Is Answer Set Programming?
(2008)
Twelve Definitions of a Stable Model
(2008)
Safe Formulas in the General Theory of Stable Models (preliminary report)
(2008)
A Library of General-Purpose Action Descriptions
(2008)
Head-Elementary-Set-Free Logic Programs
(2007)
Cmodels: SAT-based Answer Set Programming System
(2007)
A New Perspective on Stable Models
(2007)
Why the Monkey Needs the Box: a Serious Look at a Toy Domain
(2007)
Variables in Action Descriptions: Merging C+ with ADL
(2007)
The Semantics of Variables in Action Descriptions
(2007)
A Characterization of Strong Equivalence for Logic Programs with Variables
(2007)
Expressiveness of Answer Set Languages
(2007)
Projects
Answer Set Programming: System SUP
Modular Reasoning about Actions: MAD --- the Modular Action Description language
SAT-based Answer Set Programming: System Cmodels
Reasoning about Actions and Change: The Causal Calculator