Title :
An evolutional network architecture for developmental knowledge bases
Author :
Saad, Ashraf ; Zaghloul, A.R.M.
Author_Institution :
Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
We present a network architecture that supports developmental knowledge bases. Knowledge representation in our architecture is based on knowledge quanta. The network architecture described herein is evolutional in nature and utilizes spreading activation algorithms for network formation. In doing so, our research is seeking answers to fundamental questions pertinent to the way people learn as well.
Keywords :
evolutionary computation; knowledge based systems; knowledge representation; neural net architecture; semantic networks; developmental knowledge bases; evolutional network architecture; knowledge quanta; knowledge representation; network architecture; spreading activation algorithms; Artificial neural networks; Biological neural networks; Computer architecture; Computer networks; Humans; Information processing; Knowledge engineering; Knowledge representation; Neurons; Systems engineering and theory;
Conference_Titel :
Development and Learning, 2002. Proceedings. The 2nd International Conference on
Print_ISBN :
0-7695-1459-6
DOI :
10.1109/DEVLRN.2002.1011813
