TY - JOUR
T1 - Commonsense reasoning and commonsense knowledge in artificial intelligence
AU - Davis, Ernest
AU - Marcus, Gary
PY - 2015/9/1
Y1 - 2015/9/1
N2 - Ernest Davis and Gary Marcus share their views on the significance of commonsense reasoning and commonsense knowledge in artificial intelligence (AI). Many intelligent tasks, such as understanding texts, computer vision, planning, and scientific reasoning require the real-world knowledge and reasoning abilities. Techniques for implementing commonsense include logical analysis, handcrafting large knowledge bases, Web mining, and crowdsourcing. Intelligent machines need not replicate human cognition directly, but a better understanding of human commonsense is needed to perform such activities.
AB - Ernest Davis and Gary Marcus share their views on the significance of commonsense reasoning and commonsense knowledge in artificial intelligence (AI). Many intelligent tasks, such as understanding texts, computer vision, planning, and scientific reasoning require the real-world knowledge and reasoning abilities. Techniques for implementing commonsense include logical analysis, handcrafting large knowledge bases, Web mining, and crowdsourcing. Intelligent machines need not replicate human cognition directly, but a better understanding of human commonsense is needed to perform such activities.
UR - http://www.scopus.com/inward/record.url?scp=84940377817&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84940377817&partnerID=8YFLogxK
U2 - 10.1145/2701413
DO - 10.1145/2701413
M3 - Review article
AN - SCOPUS:84940377817
SN - 0001-0782
VL - 58
SP - 92
EP - 103
JO - Communications of the ACM
JF - Communications of the ACM
IS - 9
ER -