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195
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ATAL
2009
Springer
16 years 2 months ago
MABLE: a framework for learning from natural instruction
The Modular Architecture for Bootstrapped Learning Experiments (MABLE) is a system that is being developed to allow humans to teach computers in the most natural manner possible: ...
Roger Mailler, Daniel Bryce, Jiaying Shen, Ciaran ...
212
Voted
JIRS
2000
133views more  JIRS 2000»
15 years 7 months ago
Managing Complexity in Large Learning Robotic Systems
Abstract. Autonomous learning systems of significant complexity often consist of several interacting modules or agents. These modules collaborate to produce a system which, when vi...
Kynan Eng, Alec P. Robertson, Deane R. Blackman
AIED
2011
Springer
14 years 11 months ago
Learning by Teaching SimStudent - An Initial Classroom Baseline Study Comparing with Cognitive Tutor
: This paper describes an application of a machine-learning agent, SimStudent, as a teachable peer learner that allows a student to learn by teaching. SimStudent has been integrate...
Noboru Matsuda, Evelyn Yarzebinski, Victoria Keise...
204
Voted
ATAL
2005
Springer
16 years 1 months ago
Matchmaking multi-party interactions using historical performance data
Matchmaking will be an important component of future agent and agent-like systems, such as the semantic web. Most research on matchmaking has been directed toward sophisticated ma...
David Lambert, David Robertson
SEMWEB
2005
Springer
16 years 28 days ago
Preferential Reasoning on a Web of Trust
Abstract. We introduce a framework, based on logic programming, for preferential reasoning with agents on the Semantic Web. Initially, we encode the knowledge of an agent as a logi...
Stijn Heymans, Davy Van Nieuwenborgh, Dirk Vermeir