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» Multiagent learning is not the answer. It is the question
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C5
2005
IEEE
15 years 11 months ago
P2P e-Learning System and Its Squeak-Based User Interface
In this paper, we present a novel framework for asynchronous Web-based training. The proposed system has two distinguishing features. Firstly, it is based on P2P architecture for ...
Takao Kawamura, Ryosuke Nakatani, Kazunori Sugahar...
ACOM
2004
Springer
15 years 11 months ago
Coherence Constraints for Agent Interaction
This paper describes the use of coherence constraints as a means to regulate agent interaction. Coherence constraints describe relationships between the content of utterances, and ...
Joris Hulstijn, Frank Dignum, Mehdi Dastani
ICML
2005
IEEE
16 years 6 months ago
Learning strategies for story comprehension: a reinforcement learning approach
This paper describes the use of machine learning to improve the performance of natural language question answering systems. We present a model for improving story comprehension th...
Eugene Grois, David C. Wilkins
ATAL
2008
Springer
15 years 8 months ago
Analysis of an evolutionary reinforcement learning method in a multiagent domain
Many multiagent problems comprise subtasks which can be considered as reinforcement learning (RL) problems. In addition to classical temporal difference methods, evolutionary algo...
Jan Hendrik Metzen, Mark Edgington, Yohannes Kassa...
TOPNOC
2008
15 years 6 months ago
Constructive Alignment for Teaching Model-Based Design for Concurrency
"How can we make sure our students learn what we want them to?" is the number one question in teaching. This paper is intended to provide the reader with: i) a general a...
Claus Brabrand