Demo Data from EDBT 2026 / reviewers in the wild / expert
Paul Thagard
dblp:53/3965
· DBLP profile ↗
8ranked-venue papers
4as first author
0since 2021 · last 2019
0000-0002-6594-4761ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 8 · 4 first-authorApplied, interdisciplinary, general and emerging computing · 3Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 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.
| Interdisciplinary, comprehensive, and emerging computing
2 papers |
Computational social science and digital humanities · 99% Computational science and engineering · 1% | |
| Artificial intelligence
3 papers |
Knowledge representation and reasoning · 64% Learning theory · 28% Planning, search and constraint satisfaction · 8% |
Topics — the 3 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational social science and digital humanities
cognitive science |
0.1 | 1 | 2007 | Theory and experiment in cognitive science · Artif. Intell. 2007 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
analogical reasoning |
0.0 | 1 | 1989 | Chemical Analogies: Two Kinds of Explanation · IJCAI 1989 |
Machine learning › Learning theory
inductive inference |
0.0 | 1 | 1985 | Discovering the Wave Theory of Sound: Inductive Inference in the Context of Problem Solving · IJCAI 1985 |
Methods — techniques the papers use, named apart from their topics
constraint satisfaction · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | How Does Current AI Stack Up Against Human Intelligence?
Kenneth D. Forbus, Dedre Gentner, John E. Laird, Thomas R. Shultz, Ardavan Salehi Nobandegani, Paul Thagard |
CogSci | 6 |
| 2018 | Models of Human Scientific Discovery
Robert L. Goldstone, Alison Gopnik, Paul Thagard, Tomer D. Ullman |
CogSci | 3 |
| 2014 | Symposium: Creative Cognition
Will Bridewell, Liane Gabora, David Kirsh, Paul Thagard |
CogSci | 4 |
| 2007 | Theory and experiment in cognitive science
Paul Thagard |
Artif. Intell. | 1 |
| 2005 | Changing personalities: towards realistic virtual charactersabstractComputer modelling of personality and behaviour is becoming increasingly important in many fields of computer science and psychology. Personality and emotion-driven Believable Agents are needed in areas like human–machine interfaces, electronic advertising and, most notably, electronic entertainment. Computer models of personality can help explain personality by illustrating its underlying structure and dynamics. This work presents a neural network model of personality and personality change. The goals are to help understand personality and create more realistic and believable characters for interactive video games. The model is based largely on trait theories of personality. Behaviour in the model results from the interaction of three components: (1) personality-based predispositions for behaviour, (2) moods/emotions and (3) environmental situations. Personality develops gradually over time depending on the situations encountered. Modelling personality change produces interesting and believable virtual characters whose behaviours change in psychologically plausible ways. Mike Poznanski, Paul Thagard |
J. Exp. Theor. Artif. Intell. | 2 |
| 1990 | Analog Wetrieval by Constraint Satisfaction
Paul Thagard, Keith J. Holyoak, Greg Nelson, David Gochfeld |
Artif. Intell. | 1 |
| 1989 | Chemical Analogies: Two Kinds of Explanation
Paul Thagard, Dawn M. Cohen, Keith J. Holyoak |
IJCAI | 1 |
| 1985 | Discovering the Wave Theory of Sound: Inductive Inference in the Context of Problem Solving
Paul Thagard, Keith J. Holyoak |
IJCAI | 1 |