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Displaying 1-10 out of 10 total
Development and Application of Rich Cognitive Models and the Role of Agent-Based Simulation for Policy Making
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Catholijn Jonker
Issue Date:August 2011
pp. 3
No summary available.
 
Development and Application of Rich Cognitive Models and the Role of Agent-Based Simulation for Policy Making
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Catholijn Jonker
Issue Date:August 2011
pp. 3
No summary available.
 
Predicting the Performance of Opponent Models in Automated Negotiation
Found in: 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)
By Tim Baarslag,Mark Hendrikx,Koen Hindriks,Catholijn Jonker
Issue Date:November 2013
pp. 59-66
When two agents settle a mutual concern by negotiating with each other, they usually do not share their preferences so as to avoid exploitation. In such a setting, the agents may need to analyze each other's behavior to make an estimation of the opponent's...
 
Beyond Cooperative Robotics: The Central Role of Interdependence in Coactive Design
Found in: IEEE Intelligent Systems
By Matthew Johnson, Jeffrey M. Bradshaw, Paul J. Feltovich, Robert R. Hoffman, Catholijn Jonker, Birna van Riemsdijk, Maarten Sierhuis
Issue Date:May 2011
pp. 81-88
<p>As automation becomes more sophisticated, the nature of its interaction with people will need to change in profound ways. Many approaches to designing more team-like cooperation between humans and machines have been proposed&#x2014;most recent...
 
Assessing Human-Agent Teams for Future Space Missions
Found in: IEEE Intelligent Systems
By Nanja Smets, Jeffrey M Bradshaw, Jurriaan van Diggelen, Catholijn Jonker, Mark A. Neerincx, Lennard J.V. de Rijk, Pieter A.M. Senster, Maarten Sierhuis, Ot ten Thije
Issue Date:September 2010
pp. 46-53
Running computer simulations of work practices early on lets researchers test human-agent teams in dangerous, complex environments by incrementally increasing fidelity, adding realistic features, and incorporating human participants.
 
Confusion and Distance Metrics as Performance Criteria for Hierarchical Classification Spaces
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Wilbert van Norden, Catholijn Jonker
Issue Date:September 2009
pp. 131-136
When intelligent systems reason about complex problems with a large hierarchical classification space it is hard to evaluate system performance. For classification problems, different evaluation criteria exist but these either focus on a belief expressed o...
 
User Insisted Redistribution of Belief in Hierarchical Classification Spaces
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Wilbert van Norden, Catholijn Jonker
Issue Date:September 2009
pp. 115-122
Where users and agents, each with their own world model and expertise, work together it is essential to interpret both their beliefs correctly. It is therefore important to keep track of the differences of opinion that occur in such a way that it is unders...
 
Automated Multi-Attribute Negotiation with Efficient Use of Incomplete Preference Information
Found in: Autonomous Agents and Multiagent Systems, International Joint Conference on
By Catholijn Jonker, Valentin Robu
Issue Date:July 2004
pp. 1056-1063
This paper presents a model for integrative, one-to-one negotiation in which the values across multiple attributes are negotiated simultaneously. We model a mechanism in which agents are able to use any amount of incomplete preference information revealed ...
 
Toward coactivity
Found in: Proceeding of the 5th ACM/IEEE international conference on Human-robot interaction (HRI '10)
By Birna van Riemsdijk, Catholijn Jonker, Jeffrey M. Bradshaw, Maarten Sierhuis, Matthew Johnson, Paul J. Feltovich
Issue Date:March 2010
pp. 101-102
This paper introduces the concept of Coactivity as a new focal point for Human-Robot Interaction to address the more sophisticated roles of partner or teammate envisioned for future human-robot systems. We propose that most approaches to date have focused ...
     
External attribution of intentional notions to explain and predict agent behaviour
Found in: Proceedings of the fifth international conference on Autonomous agents (AGENTS '01)
By Catholijn Jonker, Jan Treur, Wieke de Vries
Issue Date:May 2001
pp. 41-42
This article proposes a reinforcement learning (RL) method based on an actor-critic architecture, which can be applied to partially-observable multi-agent competitive games. As an example, we deal with a card game “Hearts”. In our method, the a...
     
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