Daniel Kayser

Daniel Kayser was an AI researcher whose publications examined language, artificial intelligence, cognitive modeling, and causal reasoning. He completed a state doctorate in 1975 on rules learned by computer for natural-language analysis and coauthored a study of computer use in education. He published a variable-depth comprehension paper in 1982, directed the Laboratoire d'informatique de Paris-Nord from 1986 to 1991, and examined artificial intelligence and cognitive modeling in a 1992 article. He published on symbolic causal reasoning by 2004 and died in 2017 at age 70.

Works: 205
Citations: 436
h-index: 13

Publication numbers from OpenAlex, as of 19 October 2026.

Timeline

1975

A doctorate and an early paper

In 1975, he earns a state doctorate at Université Pierre & Marie Curie on rules learned by computer for natural-language analysis, and coauthors a paper on computer use in education with Daniel Coulon.
1982

A variable-depth comprehension paper

In 1982, he and Daniel Coulon publish “La compréhension : un processus à profondeur variable.”
1986–1991

First director of the LIPN

He directs the Laboratoire d'informatique de Paris-Nord from 1986 to 1991 as its first director.
1992–1997

AI research and professorship

In 1992, he publishes an Intellectica article on artificial intelligence and cognitive modeling; in 1997, he is a professor at the University of Paris-Nord.
2004

Symbolic causal reasoning

By 2004, his Intellectica work includes nine publications from 1987 to 2004, with an article on symbolic models of causal reasoning.
2017

A tribute and his death

He dies in May 2017 at age 70; the SIF includes a tribute titled “Daniel Kayser, un enseignant-chercheur au coeur de l’IA” in its September 2017 issue.