Demo Data from SIGIR 2026 / reviewers in the wild / expert
Johannes A. G. M. Koomen
dblp:08/6691
· DBLP profile ↗
7ranked-venue papers
2as first author
0since 2021 · last 1994
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 5 · 2 first-authorHuman-computer interaction and ubiquitous computing · 2Theory of computation · 2 · 1 first-authorDatabases, data management, data science and information retrieval · 1 · 1 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
3 papers |
Knowledge representation and reasoning · 60% Planning, search and constraint satisfaction · 40% | |
| Theoretical computer science
1 paper |
Logic in computer science · 100% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Logic in computer science
temporal logic |
0.0 | 1 | 1991 | A Non-Reified Temporal Logic · Artif. Intell. 1991 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
temporal reasoning |
0.0 | 2 | 1989 | Localizing Temporal Constraint Propagation · KR 1989 Planning Using a Temporal World Model · IJCAI 1983 |
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › constraint propagation
temporal constraint propagation |
0.0 | 1 | 1989 | Localizing Temporal Constraint Propagation · KR 1989 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › logic in computer science › logical foundations › non-classical logics
temporal logic |
0.0 | 1 | 1989 | A Non-Reified Temporal Logic · KR 1989 |
Knowledge, reasoning and agents › Planning, search and constraint satisfaction
temporal planning |
0.0 | 1 | 1983 | Planning Using a Temporal World Model · IJCAI 1983 |
Methods — techniques the papers use, named apart from their topics
constraint propagation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1994 | Using graphical presentation techniques in closed laboratory exercises (abstract)abstractThe panelists will share their experiences in developing closed laboratory exercises for lower level CS courses with particular emphasis on using graphical presentation techniques as a pedological and motivational tool. The use of interactive animations and visualization is combined with structured support for the student programmer to provide an apprentice style learning environment. Viera K. Proulx, Harriet J. Fell, Richard Rasala, Johannes A. G. M. Koomen, Carol W. Wilson |
SIGCSE | 4 |
| 1992 | Using scientific experiments in early computer science laboratoriesabstractComputer science is an experimental science, in the same sense that biology or physics are experimental sciences. Nonetheless, lab exercises for CS1 and CS2 courses are almost never formal “experiments” as the term would be understood in any other science. This paper describes our experiences using formal experiments in CS1 and 2 laboratories. Such exercises are extremely valuable, in part because they help students relate abstract concepts to concrete programs, but more importantly because they lead students into new areas of computing, and even new forms of learning. Douglas Baldwin, Johannes A. G. M. Koomen |
SIGCSE | 2 |
| 1991 | A Non-Reified Temporal Logic
Fahiem Bacchus, Josh Tenenberg, Johannes A. G. M. Koomen |
Artif. Intell. | 3 |
| 1991 | Reasoning about recurrenceabstractThis article examines the issue of representing knowledge about recurring states and events, and develops mechanisms for reasoning about recurrence. A first-order axiomati-zation is developed based on the interval calculus that allows entities (events, properties, processes, etc.) to be associated, incidentally or repeatedly, with temporal intervals. the recurrence formalism permits reasoning about truth conditions of relations that occur as parts of known, recurring sequences regardless of their given initial state-their eventually reaching the appropriate state can be inferred. an extensive example is developed in the domain of planning in a world with traffic control lights, showing how the use of recurrence can enable a planner to determine that a plan to travel from a source to a destination is feasible, regardless of the state of an inervening traffic light at the time it is encountered. In order to develop this example, a novel application of the interval logic to the spatial domain is presented, which allows us to reason about trajectories and their traversal over time. the combination of paths and temporal intervals, together with the recurrence axioms and actions such as traverse, allow us to prove several theorems about the use of traffic lights, and to show how an agent can validate plans to get past them. Johannes A. G. M. Koomen |
Int. J. Intell. Syst. | 1 |
| 1989 | A Non-Reified Temporal Logic
Fahiem Bacchus, Josh Tenenberg, Johannes A. G. M. Koomen |
KR | 3 |
| 1989 | Localizing Temporal Constraint Propagation
Johannes A. G. M. Koomen |
KR | 1 |
| 1983 | Planning Using a Temporal World Model
James F. Allen, Johannes A. G. M. Koomen |
IJCAI | 2 |