2012 - Member of Academia Europaea
The scientist’s investigation covers issues in Negotiation, Artificial intelligence, Human–computer interaction, Management science and Multi-agent system. His Negotiation study incorporates themes from Quality, Competition, Outcome, Preference and Operations research. His Artificial intelligence research includes elements of Field, Simple and Pareto principle.
His work carried out in the field of Human–computer interaction brings together such families of science as Robot, Human–robot interaction, Software agent, Teamwork and Intelligent decision support system. His research integrates issues of Domain, Genius, Supply chain and Normative in his study of Management science. His research in Multi-agent system intersects with topics in Formal verification, Theoretical computer science, Systems engineering and Software engineering, Formal specification.
Catholijn M. Jonker mainly focuses on Artificial intelligence, Negotiation, Knowledge management, Multi-agent system and Human–computer interaction. His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning and Process. His Negotiation research is multidisciplinary, incorporating perspectives in Competition, Management science, Adversary, Bidding and Outcome.
The various areas that Catholijn M. Jonker examines in his Knowledge management study include Teamwork and Context. Multi-agent system and Software engineering are frequently intertwined in his study. His study of Formal specification is a part of Software engineering.
His primary areas of investigation include Negotiation, Artificial intelligence, Reinforcement learning, Set and Bidding. Catholijn M. Jonker has included themes like Competition, Competitor analysis, Variety, Outcome and Field in his Negotiation study. His Variety study deals with Conflict resolution intersecting with Multi-agent system.
His study in Artificial intelligence is interdisciplinary in nature, drawing from both Machine learning, Set and Interdependence. His study on Reinforcement learning also encompasses disciplines like
Catholijn M. Jonker mostly deals with Artificial intelligence, Reinforcement learning, Negotiation, Competition and Class. His Artificial intelligence research incorporates elements of Machine learning, Contrast, Interdependence and Set. His research in Reinforcement learning focuses on subjects like Key, which are connected to Nesting.
The Negotiation study combines topics in areas such as Knowledge management, Field, Internet privacy and Representation. Catholijn M. Jonker combines subjects such as Bidding, Human agent, Baseline and Industrial organization with his study of Competition. His research investigates the connection between Class and topics such as Robot that intersect with issues in Cognitive psychology, Computational model and Human–computer interaction.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Formal Analysis of Models for the Dynamics of Trust Based on Experiences
Catholijn M. Jonker;Jan Treur.
Lecture Notes in Computer Science (1999)
Deliberative Normative Agents: Principles and Architecture
C. Castelfranchi;F. Dignum;C. M. Jonker;J. Treur.
intelligent agents (1999)
A Language and Environment for Analysis of Dynamics by SimulaTiOn
T. Bosse;C.M. Jonker;L. van der Meij;J. Treur.
International Journal on Artificial Intelligence Tools (2007)
Coactive design: designing support for interdependence in joint activity
Matthew Johnson;Jeffrey M. Bradshaw;Paul J. Feltovich;Catholijn M. Jonker.
human robot interaction (2014)
An agent architecture for multi-attribute negotiation using incomplete preference information
Catholijn M. Jonker;Valentin Robu;Jan Treur.
Autonomous Agents and Multi-Agent Systems (2007)
GENIUS: AN INTEGRATED ENVIRONMENT FOR SUPPORTING THE DESIGN OF GENERIC AUTOMATED NEGOTIATORS
Raz Lin;Sarit Kraus;Sarit Kraus;Tim Baarslag;Dmytro Tykhonov.
computational intelligence (2014)
Evaluating practical negotiating agents: Results and analysis of the 2011 international competition
Tim Baarslag;Katsuhide Fujita;Enrico H. Gerding;Koen Hindriks.
Artificial Intelligence (2013)
Specification and Verification of Dynamics in Agent Models
Tibor Bosse;Catholijn M. Jonker;Lourens Van Der Meij;Alexei Sharpanskykh.
International Journal of Cooperative Information Systems (2009)
Principles of component-based design of intelligent agents
Frances M. T. Brazier;Catholijn M. Jonker;Jan Treur.
data and knowledge engineering (2002)
Shared Mental Models
Catholijn M. Jonker;M. Birna van Riemsdijk;Bas Vermeulen.
coordination organizations institutions and norms in agent systems (2010)
Profile was last updated on December 6th, 2021.
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