TY - GEN
T1 - Cumulative learning
AU - Thórisson, Kristinn R.
AU - Bieger, Jordi
AU - Li, Xiang
AU - Wang, Pei
PY - 2019
Y1 - 2019
N2 - An important feature of human learning is the ability to continuously accept new information and unify it with existing knowledge, a process that proceeds largely automatically and without catastrophic side-effects. A generally intelligent machine (AGI) should be able to learn a wide range of tasks in a variety of environments. Knowledge acquisition in partially-known and dynamic task-environments cannot happen all-at-once, and AGI-aspiring systems must thus be capable of cumulative learning: efficiently making use of existing knowledge while learning new things, increasing the scope of ability and knowledge incrementally—without catastrophic forgetting or damaging existing skills. Many aspects of such learning have been addressed in artificial intelligence (AI) research, but relatively few examples of cumulative learning have been demonstrated to date and no generally accepted explicit definition exists of this category of learning. Here we provide a general definition of cumulative learning and describe how it relates to other concepts frequently used in the AI literature.
AB - An important feature of human learning is the ability to continuously accept new information and unify it with existing knowledge, a process that proceeds largely automatically and without catastrophic side-effects. A generally intelligent machine (AGI) should be able to learn a wide range of tasks in a variety of environments. Knowledge acquisition in partially-known and dynamic task-environments cannot happen all-at-once, and AGI-aspiring systems must thus be capable of cumulative learning: efficiently making use of existing knowledge while learning new things, increasing the scope of ability and knowledge incrementally—without catastrophic forgetting or damaging existing skills. Many aspects of such learning have been addressed in artificial intelligence (AI) research, but relatively few examples of cumulative learning have been demonstrated to date and no generally accepted explicit definition exists of this category of learning. Here we provide a general definition of cumulative learning and describe how it relates to other concepts frequently used in the AI literature.
KW - Artificial general intelligence
KW - Autonomous knowledge acquisition
KW - Cumulative learning
KW - Knowledge representation
UR - http://www.scopus.com/inward/record.url?scp=85070680463&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-27005-6_20
DO - 10.1007/978-3-030-27005-6_20
M3 - Conference contribution
AN - SCOPUS:85070680463
SN - 9783030270049
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 198
EP - 208
BT - Artificial General Intelligence - 12th International Conference, AGI 2019, Proceedings
A2 - Hammer, Patrick
A2 - Agrawal, Pulin
A2 - Goertzel, Ben
A2 - Iklé, Matthew
PB - Springer
T2 - 12th International Conference on Artificial General Intelligence, AGI 2019
Y2 - 6 August 2019 through 9 August 2019
ER -