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Catholijn M. Jonker
Researcher at Delft University of Technology
Publications - 601
Citations - 10905
Catholijn M. Jonker is an academic researcher from Delft University of Technology. The author has contributed to research in topics: Negotiation & Multi-agent system. The author has an hindex of 50, co-authored 565 publications receiving 9924 citations. Previous affiliations of Catholijn M. Jonker include Nijmegen Institute for Cognition and Information & University of Amsterdam.
Papers
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Book ChapterDOI
Formal Analysis of Models for the Dynamics of Trust Based on Experiences
Catholijn M. Jonker,Jan Treur +1 more
TL;DR: A formal framework is introduced for the analysis and specification of models for trust evolution and trust update and different properties of these models are formally defined.
Journal ArticleDOI
A Language and Environment for Analysis of Dynamics by SimulaTiOn
TL;DR: This article presents the language and software environment LEADSTO that has been developed to model and simulate dynamic processes in terms of both qualitative and quantitative concepts.
Journal Article
Deliberate Normative Agents: Principles and Architecture
Journal ArticleDOI
Genius: an integrated environment for supporting the design of generic automated negotiators
Raz Lin,Sarit Kraus,Sarit Kraus,Tim Baarslag,Dmytro Tykhonov,Koen V. Hindriks,Catholijn M. Jonker +6 more
TL;DR: This paper presents a system that enables alleviation of the difficulties in the design process of general automated negotiators termed Genius, a General Environment for Negotiation with Intelligent multi‐purpose Usage Simulation.
Journal ArticleDOI
Coactive design: designing support for interdependence in joint activity
Matthew Johnson,Jeffrey M. Bradshaw,Paul J. Feltovich,Catholijn M. Jonker,M. Birna van Riemsdijk,Maarten Sierhuis +5 more
TL;DR: It is argued for a human-robot system model that supports interdependence through careful attention to requirements for observability, predictability, and directability, which is a useful approach for developers trying to understand how to translate high-level teamwork concepts into reusable control algorithms, interface elements, and behaviors that enable robots to fulfill their envisioned role as teammates.