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COGSR
2011
105views more  COGSR 2011»
14 years 8 months ago
Inductive rule learning on the knowledge level
We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be us...
Ute Schmid, Emanuel Kitzelmann
115
Voted
ATAL
2010
Springer
15 years 3 months ago
An architecture for modular distributed simulation with agent-based models
Agent-based simulations are an increasingly popular means of exploring and understanding complex social systems. In order to be useful, these simulations must capture a range of a...
David Scerri, Alexis Drogoul, Sarah L. Hickmott, L...
127
Voted
CVPR
2011
IEEE
14 years 10 months ago
Enforcing Similarity Constraints with Integer Programming for Better Scene Text Recognition
The recognition of text in everyday scenes is made difficult by viewing conditions, unusual fonts, and lack of linguistic context. Most methods integrate a priori appearance info...
David Smith, Jacqueline Feild, Eric Learned-Miller
125
Voted
FLAIRS
2010
15 years 4 months ago
Grounded Event-Based and Modal Representations for Objects, Relations, Beliefs, Etc.
Intelligent software agents (agents) adhering to the action selection paradigm have only one primary task that they need accomplish at any given time: to choose their next action....
Ryan James McCall, Stan Franklin, David Friedlande...
EAAI
2006
78views more  EAAI 2006»
15 years 1 months ago
Roboskeleton: An architecture for coordinating robot soccer agents
SkeletonAgent is an agent framework whose main feature is to integrate different artificial intelligent skills, like planning or learning, to obtain new behaviours in a multi-agen...
David Camacho, Fernando Fernández, Miguel A...