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CONNECTION
2006
117views more  CONNECTION 2006»
15 years 6 months ago
Bootstrap learning of foundational representations
To be autonomous, intelligent robots must learn the foundations of commonsense knowledge from their own sensorimotor experience in the world. We describe four recent research resu...
Benjamin Kuipers, Patrick Beeson, Joseph Modayil, ...
NIPS
2003
15 years 7 months ago
Learning a World Model and Planning with a Self-Organizing, Dynamic Neural System
We present a connectionist architecture that can learn a model of the relations between perceptions and actions and use this model for behavior planning. State representations are...
Marc Toussaint
GD
2003
Springer
15 years 11 months ago
HexGraph: Applying Graph Drawing Algorithms to the Game of Hex
Hex is a classic board game for two players. There exists an intuitive mapping of the state of a hex game onto a graph. The motivation of the work presented in this paper was to cr...
Colin Murray, Carsten Friedrich, Peter Eades
EMNLP
2009
15 years 4 months ago
A Compact Forest for Scalable Inference over Entailment and Paraphrase Rules
A large body of recent research has been investigating the acquisition and application of applied inference knowledge. Such knowledge may be typically captured as entailment rules...
Roy Bar-Haim, Jonathan Berant, Ido Dagan
DAGM
1999
Springer
15 years 10 months ago
Knowledge Discovery in Spatial Databases
Both, the number and the size of spatial databases, such as geographic or medical databases, are rapidly growing because of the large amount of data obtained from satellite images,...
Martin Ester, Hans-Peter Kriegel, Jörg Sander