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CONNECTION
2006
57views more  CONNECTION 2006»
13 years 11 months ago
Learning through experience: an emergent connectionist account of letter production behaviour
Fiona M. Richardson, Neil Davey, D. John Done, Rod...
CONNECTION
2006
77views more  CONNECTION 2006»
13 years 11 months ago
Discovering communication
Pierre-Yves Oudeyer, Frédéric Kaplan
CONNECTION
2006
71views more  CONNECTION 2006»
13 years 11 months ago
Introduction to developmental robotics
Lisa Meeden, Douglas S. Blank
CONNECTION
2006
68views more  CONNECTION 2006»
13 years 11 months ago
Developing navigation behavior through self-organizing distinctive-state abstraction
Jefferson Provost, Benjamin Kuipers, Risto Miikkul...
CONNECTION
2006
101views more  CONNECTION 2006»
13 years 11 months ago
Learning acceptable windows of contingency
By learning a range of possible times over which the effect of an action can take place, a robot can reason more effectively about causal and contingent relationships in the world...
Kevin Gold, Brian Scassellati
CONNECTION
2006
117views more  CONNECTION 2006»
13 years 11 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, ...
CONNECTION
2006
101views more  CONNECTION 2006»
13 years 11 months ago
High capacity, small world associative memory models
Models of associative memory usually have full connectivity or if diluted, random symmetric connectivity. In contrast, biological neural systems have predominantly local, non-symm...
Neil Davey, Lee Calcraft, Rod Adams