Demo Data from EDBT 2026 / reviewers in the wild / expert
Hudson Turner
dblp:39/2519
· DBLP profile ↗
15ranked-venue papers
7as first author
0since 2021 · last 2004
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 10 · 4 first-authorTheory of computation · 9 · 4 first-authorSoftware engineering, systems software and programming languages · 5 · 3 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
5 papers |
Knowledge representation and reasoning · 93% Planning, search and constraint satisfaction · 7% |
Topics — the 8 heaviest of 9, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Knowledge representation and reasoning › causal reasoning
causal theories |
0.1 | 2 | 2004 | Nonmonotonic causal theories · Artif. Intell. 2004 Satisfiability planning with Causal Theories · KR 1998 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › reasoning about action and change › reasoning about actions
action languages |
0.0 | 1 | 2004 | Representing the Zoo World and the Traffic World in the language of the Causal Calculator · Artif. Intell. 2004 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
commonsense reasoning |
0.0 | 1 | 2004 | Representing the Zoo World and the Traffic World in the language of the Causal Calculator · Artif. Intell. 2004 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
nonmonotonic reasoning |
0.0 | 1 | 2004 | Nonmonotonic causal theories · Artif. Intell. 2004 |
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › classical planning
SAT-based planning |
0.0 | 1 | 1998 | Satisfiability planning with Causal Theories · KR 1998 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
logic-based reasoning |
0.0 | 1 | 2004 | Nonmonotonic causal theories · Artif. Intell. 2004 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
causal reasoning |
0.0 | 1 | 1995 | A Causal Theory of Ramifications and Qualifications · IJCAI 1995 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
reasoning about action and change |
0.0 | 1 | 1995 | A Causal Theory of Ramifications and Qualifications · IJCAI 1995 |
Methods — techniques the papers use, named apart from their topics
fixpoint semantics · 0.0causal logic · 0.0logic · 0.0satisfiability · 0.0causal theory · 0.0causal reasoning · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2004 | Strong Equivalence for Causal Theories
Hudson Turner |
LPNMR | 1 |
| 2004 | Representing the Zoo World and the Traffic World in the language of the Causal Calculator
Varol Akman, Selim T. Erdogan, Joohyung Lee 0002, Vladimir Lifschitz, Hudson Turner |
Artif. Intell. | 5 |
| 2004 | Nonmonotonic causal theories
Enrico Giunchiglia, Joohyung Lee 0002, Vladimir Lifschitz, Norman McCain, Hudson Turner |
Artif. Intell. | 5 |
| 2003 | Strong equivalence made easy: nested expressions and weight constraintsabstractLogic programs are equivalent (that is, have the sameanswer sets). Strong equivalence is convenient for the study ofequivalent transformations of logic programs: one can prove that alocal change is correct without considering the whole program.Lifschitz, Pearce and Valverde showed that Heyting's logic ofhere-and-there can be used to characterize strong equivalence forlogic programs with nested expressions (which subsume thebetter-known extended disjunctive programs). This note considers asimpler, more direct characterization of strong equivalence for suchprograms, and shows that it can also be applied without modificationto the weight constraint programs of Niemelä and Simons. Thus, thischaracterization of strong equivalence is convenient for the studyof equivalent transformations of logic programs written in the inputlanguages of answer set programming systems dlv and SMODELS. The noteconcludes with a brief discussion of results that can be used toautomate reasoning about strong equivalence, including a novelencoding that reduces the problem of deciding the strong equivalenceof a pair of weight constraint programs to that of deciding theinconsistency of a weight constraint program. Hudson Turner |
Theory Pract. Log. Program. | 1 |
| 2002 | Polynomial-Length Planning Spans the Polynomial Hierarchy
Hudson Turner |
JELIA | 1 |
| 2001 | Strong Equivalence for Logic Programs and Default Theories (Made Easy)
Hudson Turner |
LPNMR | 1 |
| 2001 | Order-consistent programs are cautiously monotonicabstractSome normal logic programs under the answer set (or stable model) semantics lack the appealing property of ‘cautious monotonicity.’ That is, augmenting a program with one of its consequences may cause it to lose another of its consequences. The syntactic condition of ‘order-consistency’ was shown by Fages to guarantee existence of an answer set. This note establishes that order-consistent programs are not only consistent, but cautiously monotonic. From this it follows that they are also ‘cumulative’. That is, augmenting an order-consistent program with some of its consequences does not alter its consequences. In fact, as we show, its answer sets remain unchanged. Hudson Turner |
Theory Pract. Log. Program. | 1 |
| 1999 | Representing Transition Systems by Logic Programs
Vladimir Lifschitz, Hudson Turner |
LPNMR | 2 |
| 1999 | A Logic of Universal Causation
Hudson Turner |
Artif. Intell. | 1 |
| 1998 | Satisfiability planning with Causal Theories
Norman McCain, Hudson Turner |
KR | 2 |
| 1995 | A Causal Theory of Ramifications and Qualifications
Norman McCain, Hudson Turner |
IJCAI | 2 |
| 1995 | Update by Means of Inference Rules
Teodor C. Przymusinski, Hudson Turner |
LPNMR | 2 |
| 1994 | Splitting a Logic Program
Vladimir Lifschitz, Hudson Turner |
ICLP | 2 |
| 1994 | Language Independence and Language Tolerance in Logic Programs
Norman McCain, Hudson Turner |
ICLP | 2 |
| 1993 | A Monotonicity Theorem for Extended Logic Programs
Hudson Turner |
ICLP | 1 |