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ESANN
2003
13 years 8 months ago
Neural networks organizations to learn complex robotic functions
Abstract. This paper considers the general problem of function estimation with a modular approach of neural computing. We propose to use functionally independent subnetworks to lea...
Gilles Hermann, Patrice Wira, Jean-Philippe Urban
DIGITEL
2008
IEEE
14 years 1 months ago
Learning about Complexity with Modular Robots
We present progress with roBlocks, a reconfigurable modular robotic system for education. Children snap together small, magnetic, heterogeneous modules to create larger, more comp...
Eric Schweikardt, Mark D. Gross
IJVR
2008
134views more  IJVR 2008»
13 years 7 months ago
An Educational Virtual Scenario for Learning Chaos and Complexity Theories
Based on contemporary Chaos and Complexity Theories, ImaginationTOOLSTM is an innovative Virtual Reality (VR) software architecture which, by means of an agent-based interface, end...
Francesca Bertacchini, Eleonora Bilotta, Pietro Pa...
DLOG
1998
13 years 8 months ago
A Description Logic System for Learning in Complex Domains
This paper introduces YAYA1, a Description Logic system focused towards learning complex interrelations among objects. YAYA Concept Language (YCL) is quite restricted; although it...
Jordi Alvarez
EUROCOLT
1999
Springer
13 years 11 months ago
Mind Change Complexity of Learning Logic Programs
The present paper motivates the study of mind change complexity for learning minimal models of length-bounded logic programs. It establishes ordinal mind change complexity bounds ...
Sanjay Jain, Arun Sharma