225 search results - page 9 / 45 » Knowledge Representation and Possible Worlds for Neural Netw... |
NCA
2006
IEEE
13 years 7 months ago
2006
IEEE
: The objective of our research is to computationally model word production and its disorders by means of artificial neural networks. In the current study we develop and analyze an...
NN
2007
Springer
13 years 6 months ago
2007
Springer
Reinforcement learning is based on exploration of the environment and receiving reward that indicates which actions taken by the agent are good and which ones are bad. In many app...
IJCNN
2008
IEEE
14 years 1 months ago
2008
IEEE
— Representation of knowledge within a neural model is an active field of research involved with the development of alternative structures, training algorithms, learning modes an...
ICTAI
2003
IEEE
14 years 20 days ago
2003
IEEE
One of the very interesting properties of Reinforcement Learning algorithms is that they allow learning without prior knowledge of the environment. However, when the agents use al...
ICAIL
2007
ACM
13 years 9 months ago
2007
ACM
The “small world”-paradigm offers a new interesting viewpoint for the analysis of contemporary legal networks and artificial intelligence. This topological approach sheds fu...