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Catholijn M. Jonker
Catholijn M. Jonker
Professor of Interactive Intelligence TU Delft, and Explainable AI at Leiden University
在 tudelft.nl 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Model-based reinforcement learning: A survey
TM Moerland, J Broekens, A Plaat, CM Jonker
Foundations and Trends® in Machine Learning 16 (1), 1-118, 2023
6562023
Formal analysis of models for the dynamics of trust based on experiences
CM Jonker, J Treur
Multi-Agent System Engineering: 9th European Workshop on Modelling …, 1999
4591999
Deliberative normative agents: Principles and architecture
C Castelfranchi, F Dignum, CM Jonker, J Treur
Intelligent Agents VI. Agent Theories, Architectures, and Languages: 6th …, 2000
4342000
Coactive design: Designing support for interdependence in joint activity
M Johnson, JM Bradshaw, PJ Feltovich, CM Jonker, MB Van Riemsdijk, ...
Journal of Human-Robot Interaction 3 (1), 43-69, 2014
3742014
A language and environment for analysis of dynamics by simulation
T Bosse, CM Jonker, L Van Der Meij, J Treur
International Journal on Artificial Intelligence Tools 16 (03), 435-464, 2007
335*2007
A research agenda for hybrid intelligence: augmenting human intellect with collaborative, adaptive, responsible, and explainable artificial intelligence
Z Akata, D Balliet, M De Rijke, F Dignum, V Dignum, G Eiben, A Fokkens, ...
Computer 53 (8), 18-28, 2020
3112020
Genius: An integrated environment for supporting the design of generic automated negotiators
R Lin, S Kraus, T Baarslag, D Tykhonov, K Hindriks, CM Jonker
Computational Intelligence 30 (1), 48-70, 2014
2452014
Compositional verification of multi-agent systems: a formal analysis of pro-activeness and reactiveness
CM Jonker, J Treur
International Journal of Cooperative Information Systems 11 (01n02), 51-91, 2002
230*2002
Shared mental models: A conceptual analysis
CM Jonker, MB Van Riemsdijk, B Vermeulen
International workshop on coordination, organizations, institutions, and …, 2010
2252010
Evaluating practical negotiating agents: Results and analysis of the 2011 international competition
T Baarslag, K Fujita, EH Gerding, K Hindriks, T Ito, NR Jennings, C Jonker, ...
Artificial Intelligence 198, 73-103, 2013
2162013
An agent architecture for multi-attribute negotiation using incomplete preference information
CM Jonker, V Robu, J Treur
Autonomous Agents and Multi-Agent Systems 15, 221-252, 2007
1962007
Learning about the opponent in automated bilateral negotiation: a comprehensive survey of opponent modeling techniques
T Baarslag, MJC Hendrikx, KV Hindriks, CM Jonker
Autonomous Agents and Multi-Agent Systems 30, 849-898, 2016
1942016
Emotion in reinforcement learning agents and robots: a survey
TM Moerland, J Broekens, CM Jonker
Machine Learning 107, 443-480, 2018
1882018
Specification and verification of dynamics in agent models
T Bosse, CM Jonker, L Van der Meij, A Sharpanskykh, J Treur
International Journal of Cooperative Information Systems 18 (01), 167-193, 2009
1772009
The first automated negotiating agents competition (ANAC 2010)
T Baarslag, K Hindriks, C Jonker, S Kraus, R Lin
New Trends in agent-based complex automated negotiations, 113-135, 2012
1692012
Principles of component-based design of intelligent agents
FMT Brazier, CM Jonker, J Treur
Data & Knowledge Engineering 41 (1), 1-27, 2002
1632002
Compositional design and reuse of a generic agent model
FMT Brazier, CM Jonker, J Treur
Applied Artificial Intelligence 14 (5), 491-538, 2000
1452000
Formalisation of Damasio’s theory of emotion, feeling and core consciousness
T Bosse, CM Jonker, J Treur
Consciousness and cognition 17 (1), 94-113, 2008
1422008
Cultural differentiation of negotiating agents
GJ Hofstede, CM Jonker, T Verwaart
Group Decision and Negotiation 21, 79-98, 2012
1352012
An agent architecture for multi-attribute negotiation
CM Jonker, J Treur
International joint conference on artificial intelligence 17 (1), 1195-1201, 2001
1352001
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