What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Programming language
- Social psychology
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.
His most cited work include:
- Formal Analysis of Models for the Dynamics of Trust Based on Experiences (274 citations)
- A Language and Environment for Analysis of Dynamics by SimulaTiOn (219 citations)
- An agent architecture for multi-attribute negotiation using incomplete preference information (154 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Artificial intelligence (28.45%)
- Negotiation (21.55%)
- Knowledge management (15.86%)
What were the highlights of his more recent work (between 2016-2021)?
- Negotiation (21.55%)
- Artificial intelligence (28.45%)
- Reinforcement learning (3.97%)
In recent papers he was focusing on the following fields of study:
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
- Class that connect with fields like Action selection,
- Categorization most often made with reference to Key.
He has researched Set in several fields, including Intelligent algorithms, Value, Framing, Appropriation and Design activities.
Between 2016 and 2021, his most popular works were:
- Emotion in reinforcement learning agents and robots: a survey (63 citations)
- Alternating Offers Protocols for Multilateral Negotiation (37 citations)
- When will negotiation agents be able to represent us? The challenges and opportunities for autonomous negotiators (30 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Programming language
- Machine learning
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.
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