Demo Data from EDBT 2026 / reviewers in the wild / expert
David Murray Bridgeland
dblp:63/987
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 1991
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 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
1 paper |
Knowledge representation and reasoning · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Knowledge representation and reasoning › belief revision
truth maintenance systems |
0.0 | 1 | 1990 | Distributed Truth Maintenance · AAAI 1990 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1991 | Multiagent truth maintenanceabstractThe concept of logical consistency of belief among a group of computational agents that are able to reason nonmonotonically is defined. An algorithm for truth maintenance is then provided that guarantees local consistency for each agent and global consistency for data shared by the agents. The algorithm is shown to be complete, in the sense that if a consistent state exists, the algorithm will either find it or report failure. The implications and limitations of this algorithm for cooperating agents are discussed, and several extensions are described. The algorithm has been implemented in the RAD distributed expert system shell.> Michael N. Huhns, David Murray Bridgeland |
IEEE Trans. Syst. Man Cybern. | 2 |
| 1990 | Distributed Truth Maintenance
David Murray Bridgeland, Michael N. Huhns |
AAAI | 1 |