×

Many-layered learning. (English) Zbl 1018.68069

Summary: We explore incremental assimilation of new knowledge by sequential learning. Of particular interest is how a network of many knowledge layers can be constructed in an on-line manner, such that the learned units represent building blocks of knowledge that serve to compress the overall representation and facilitate transfer. We motivate the need for many layers of knowledge, and we advocate sequential learning as an avenue for promoting the construction of layered knowledge structures. Finally, our novel STL algorithm demonstrates a method for simultaneously acquiring and organizing a collection of concepts and functions as a network from a stream of unstructured information.

MSC:

68T05 Learning and adaptive systems in artificial intelligence
PDFBibTeX XMLCite
Full Text: DOI

References:

[1] DOI: 10.1080/09540098908915647 · doi:10.1080/09540098908915647
[2] DOI: 10.1023/A:1007379606734 · doi:10.1023/A:1007379606734
[3] DOI: 10.1017/S0140525X97000022 · doi:10.1017/S0140525X97000022
[4] Cook D. J., Journal of Artificial Intelligence Research 1 pp 231– (1994)
[5] DOI: 10.1016/0010-0277(93)90058-4 · doi:10.1016/0010-0277(93)90058-4
[6] DOI: 10.1162/neco.1990.2.2.198 · doi:10.1162/neco.1990.2.2.198
[7] DOI: 10.1207/s15516709cog1502_2 · doi:10.1207/s15516709cog1502_2
[8] Littlestone N., Machine Learning 2 pp 285– (1988)
[9] DOI: 10.1088/0305-4470/22/12/019 · doi:10.1088/0305-4470/22/12/019
[10] DOI: 10.1016/0004-3702(90)90059-9 · Zbl 05472870 · doi:10.1016/0004-3702(90)90059-9
[11] DOI: 10.1023/A:1022611825350 · doi:10.1023/A:1022611825350
[12] DOI: 10.1145/48014.63140 · Zbl 0662.68086 · doi:10.1145/48014.63140
[13] Quartz S. R., Behavioral and Brain Sciences 20 pp 537– (1997)
[14] DOI: 10.1016/S0893-6080(09)80009-9 · doi:10.1016/S0893-6080(09)80009-9
[15] DOI: 10.1147/rd.232.0149 · Zbl 0404.94005 · doi:10.1147/rd.232.0149
[16] DOI: 10.1006/inco.1994.1081 · Zbl 0811.68108 · doi:10.1006/inco.1994.1081
[17] DOI: 10.1162/neco.1994.6.5.842 · doi:10.1162/neco.1994.6.5.842
[18] DOI: 10.1016/S0020-7373(05)80130-0 · doi:10.1016/S0020-7373(05)80130-0
[19] Tesauro G., Machine Learning 8 pp 257– (1992) · Zbl 0772.68075
[20] DOI: 10.1002/dev.420150408 · doi:10.1002/dev.420150408
[21] DOI: 10.1145/355483.355486 · Zbl 1320.68149 · doi:10.1145/355483.355486
[22] DOI: 10.1016/S0004-3702(00)00002-3 · Zbl 0941.68107 · doi:10.1016/S0004-3702(00)00002-3
[23] Werbos P. J., General Systems Yearbook 22 pp 25– (1977)
[24] DOI: 10.1016/0893-6080(90)90004-5 · doi:10.1016/0893-6080(90)90004-5
[25] DOI: 10.1016/S0004-3702(99)00008-9 · Zbl 0916.68127 · doi:10.1016/S0004-3702(99)00008-9
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.