Learning   Paper

 

ÇнÀÀÇ ÇغÎÇР: ¹ÚÂù¿õ

½É¸®ÇÐÀÚµéÀº ÇнÀÀ» ¾î¶»°Ô ¿¬±¸Çϴ°¡?   ÇнÀÀÌ·ÐÀÇ °ú°Å, ÇöÀç, ±×¸®°í ¹Ì·¡   ÇнÀÀÌ·ÐÀÇ ¼ºÁú   ÇнÀÀÇ ¼ö¸® ºÐ¼® : Winfred F. Hill

ÇнÀ : Herbert Simon

ÇнÀ°ú ÇнÀ´É·Â : Philip N. Johnson-Laird

ºñÀǽÄÀû Áö½Ä  ÇàÀ§¸¦ ÅëÇÑ ÇнÀ   ¸ñÇ¥±â¹Ý ½Ã³ª¸®¿À : Roger Schank

 

Glossary Paper

°­È­ÇнÀ (Reinforcement Learning)

±Í³³¹ý (Induction)

±â°èÇнÀ (Machine Learning)

³ú (Brain)

µ¥ÀÌÅ͸¶ÀÌ´× (Data Mining)

¸¶À½ (Mind)

º£ÀÌÁî (Bayes)

»ç·Ê±â¹ÝÃß·Ð (Case-based Reasoning)

½Å°æ¸Á (Neural Network)

À¯Àü¾Ë°í¸®Áò (Genetic Algorithm)

ÀÎÁö°úÇÐ (Cognitive Science)

Áö´É (Intelligence)

Ŭ·¯½ºÅ͸µ (Clustering)

ÆÐÅÏÀÎ½Ä (Pattern Recognition)