Differences and commonalities between connectionism and symbolicism


Autoria(s): Wang, SJ; Liu, YY
Data(s)

2005

Resumo

The differences between connectionism and symbolicism in artificial intelligence (AI) are illustrated on several aspects in details firstly; then after conceptually decision factors of connectionism are proposed, the commonalities between connectionism and symbolicism are tested to make sure, by some quite typical logic mathematics operation examples such as "parity"; At last, neuron structures are expanded by modifying neuron weights and thresholds in artificial neural networks through adopting high dimensional space geometry cognition, which give more overall development space, and embodied further both commonalities.

Identificador

http://ir.semi.ac.cn/handle/172111/8636

http://www.irgrid.ac.cn/handle/1471x/63848

Idioma(s)

英语

Fonte

Wang, SJ; Liu, YY .Differences and commonalities between connectionism and symbolicism ,ADVANCES IN NEURAL NETWORKS - ISNN 2005,2005 ,PT 1 PROCEEDINGS 3496(0):34-38

Palavras-Chave #人工智能
Tipo

期刊论文