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AIED
2005
Springer
16 years 3 days ago
Modelling Learning in an Educational Game
We describe research on data-drive refinement and evaluation of a probabilistic model of student learning for an educational game on number factorization. The model is to be used b...
Micheline Manske, Cristina Conati
ILP
2005
Springer
16 years 2 days ago
Learning Teleoreactive Logic Programs from Problem Solving
In this paper, we focus on the problem of learning reactive skills for use by physical agents. We propose a new representation for such procedures, teleoreactive logic programs, al...
Dongkyu Choi, Pat Langley
ICES
2003
Springer
125views Hardware» more  ICES 2003»
15 years 11 months ago
Evolving Reinforcement Learning-Like Abilities for Robots
Abstract. In [8] Yamauchi and Beer explored the abilities of continuous time recurrent neural networks (CTRNNs) to display reinforcementlearning like abilities. The investigated ta...
Jesper Blynel
AGENTS
2000
Springer
15 years 10 months ago
Learning to Trust
Abstract. Evolutionary game-theory is a powerful tool to investigate the development of complex relations between individuals such as the emergence of cooperation and trust. But th...
Andreas Birk 0002
AAAI
2007
15 years 9 months ago
Knowledge-Driven Learning and Discovery
The goal of our current research is machine learning with the help and guidance of a knowledge base (KB). Rather than learning numerical models, our approach generates explicit sy...
Benjamin Lambert, Scott E. Fahlman