Demo Data from EDBT 2026 / reviewers in the wild / expert
Mark Drummond
dblp:46/4442
· DBLP profile ↗
12ranked-venue papers
8as first author
0since 2021 · last 1995
0000-0001-5120-2575ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 11 · 7 first-authorGraphics, computer vision, multimedia, augmented reality and games · 7 · 5 first-authorTheory of computation · 2 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author
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
8 papers |
Planning, search and constraint satisfaction · 80% Motion planning and robot control · 11% Knowledge representation and reasoning · 8% | |
| Theoretical computer science
1 paper |
Mathematical optimization · 77% Approximation and online algorithms · 23% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Embedded and real-time systems · 87% Distributed systems · 13% |
Topics — the 8 heaviest of 14, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › classical planning
partial-order planning |
0.0 | 2 | 1992 | Total Order vs. Partial Order Planning: Factors Influencing Performance · KR 1992 Goal Ordering in Partially Ordered Plans · IJCAI 1989 |
Knowledge, reasoning and agents › Planning, search and constraint satisfaction
scheduling |
0.0 | 1 | 1994 | Just-In-Case Scheduling · AAAI 1994 |
Knowledge, reasoning and agents › Planning, search and constraint satisfaction
heuristic search |
0.0 | 1 | 1993 | Reaction-First Search · IJCAI 1993 |
Robotics › Motion planning and robot control › motion planning
anytime planning |
0.0 | 1 | 1990 | Anytime Synthetic Projection: Maximizing the Probability of Goal Satisfaction · AAAI 1990 |
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › search control
goal ordering |
0.0 | 1 | 1989 | Goal Ordering in Partially Ordered Plans · IJCAI 1989 |
Embedded and real-time systems › real-time operating systems
real-time kernel |
0.0 | 1 | 1982 | PACKRAT - A Real Time Kernel for Distributed Systems · RTSS 1982 |
Embedded and real-time systems
real-time operating systems |
0.0 | 1 | 1982 | PACKRAT - A Real Time Kernel for Distributed Systems · RTSS 1982 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
action and change |
0.0 | 1 | 1989 | Situated Control Rules · KR 1989 |
Methods — techniques the papers use, named apart from their topics
expected solution quality analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1995 | Expected Solution Quality
John L. Bresina, Mark Drummond, Keith Swanson |
IJCAI | 2 |
| 1994 | Just-In-Case Scheduling
Mark Drummond, John L. Bresina, Keith Swanson |
AAAI | 1 |
| 1994 | Total-Order and Partial-Order Planning: A Comparative AnalysisabstractFor many years, the intuitions underlying partial-order planning were largely taken for granted. Only in the past few years has there been renewed interest in the fundamental principles underlying this paradigm. In this paper, we present a rigorous comparative analysis of partial-order and total-order planning by focusing on two specific planners that can be directly compared. We show that there are some subtle assumptions that underly the wide-spread intuitions regarding the supposed efficiency of partial-order planning. For instance, the superiority ofpartial-order planning can depend critically upon the search strategy and the structure of the search space. Understanding the underlying assumptions is crucial for constructing efficient planners. Steven Minton, John L. Bresina, Mark Drummond |
J. Artif. Intell. Res. | 3 |
| 1993 | Reaction-First Search
Mark Drummond, Keith Swanson, John L. Bresina, Richard Levinson |
IJCAI | 1 |
| 1992 | Total Order vs. Partial Order Planning: Factors Influencing Performance
Steven Minton, Mark Drummond, John L. Bresina, Andrew B. Philips |
KR | 2 |
| 1991 | Commitment Strategies in Planning: A Comparative Analysis
Steven Minton, John L. Bresina, Mark Drummond |
IJCAI | 3 |
| 1990 | Anytime Synthetic Projection: Maximizing the Probability of Goal Satisfaction
Mark Drummond, John L. Bresina |
AAAI | 1 |
| 1989 | Goal Ordering in Partially Ordered Plans
Mark Drummond, Ken Currie |
IJCAI | 1 |
| 1989 | Situated Control Rules
Mark Drummond |
KR | 1 |
| 1988 | Exploiting temporal coherence in nonlinear plan constructionabstractCorrect conventional nonlinear planners operate in accordance with Chapman's modal truth criterion (MTC). The MTC characterizes the conditions under which an assertion will be true at a point in a nonlinear plan. However, the MTC is not all one requires in order to build a realistic planning system: it merely sanctions the use of a number of plan modifications in order to achieve each assertion in a developing plan. The number of modifications that can be made is usually very large. To avoid breadth‐first search a planner must have some idea of which plan modification to consider. We describe a domain‐independent search heuristic called temporal coherence, which helps guide the search through the space of partial plans defined by the MTC. Temporal coherence works by suggesting certain orderings of goal achievement as more appealing than others, and thus by finding bindings for plan variables consistent with the planner's overall goals. Our experience with a real nonlinear planner has highlighted the need for such a heuristic. In this paper, we give an example planning problem and use it to illustrate how temporal coherence can speed the search for an acceptable plan. We also prove that if a solution exists in the partial plan search space defined by the MTC, then there exists a path to that solution which is sanctioned by temporal coherence. Mark Drummond, Ken Currie |
Comput. Intell. | 1 |
| 1985 | Refining and Extending the Procedural Net
Mark Drummond |
IJCAI | 1 |
| 1982 | PACKRAT - A Real Time Kernel for Distributed Systems
Mark Drummond, Clare Mcmullen, R. Vasudevan |
RTSS | 1 |