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AAAI
2007
13 years 10 months ago
A Connectionist Cognitive Model for Temporal Synchronisation and Learning
The importance of the efforts towards integrating the symbolic and connectionist paradigms of artificial intelligence has been widely recognised. Integration may lead to more e...
Luís C. Lamb, Rafael V. Borges, Artur S. d'...
IDEAL
2005
Springer
14 years 1 months ago
Generating Predicate Rules from Neural Networks
Artificial neural networks play an important role for pattern recognition tasks. However, due to poor comprehensibility of the learned network, and the inability to represent expl...
Richi Nayak
ATAL
2006
Springer
13 years 11 months ago
Learning empathy: a data-driven framework for modeling empathetic companion agents
Affective reasoning plays an increasingly important role in cognitive accounts of social interaction. Humans continuously assess one another's situational context, modify the...
Scott W. McQuiggan, James C. Lester
SOCRATES
2008
104views Education» more  SOCRATES 2008»
13 years 9 months ago
Cost-effectiveness Analysis Applied to a Blended-Learning-Model
This paper describes briefly an attempt to evaluate the cost-effectiveness of the blended-learning-model characterizing the project OpenCampus. It was not possible to follow the m...
Massimo Loi, Alberto Cattaneo
AAMAS
2002
Springer
13 years 7 months ago
Cooperative Multiagent Learning
Cooperation and learning are two ways in which an agent can improve its performance. Cooperative Multiagent Learning is a framework to analyze the tradeoff between cooperation and ...
Enric Plaza, Santiago Ontañón