Algorithmic Information Theory and Foundations of Probability Export

@article{citeulike:4952144, abstract = {The use of algorithmic information theory (Kolmogorov complexity theory) to explain the relation between mathematical probability theory and `real world' is discussed.}, archivePrefix = {arXiv}, author = {Shen, Alexander}, citeulike-article-id = {4952144}, citeulike-linkout-0 = {http://arxiv.org/abs/0906.4411}, citeulike-linkout-1 = {http://arxiv.org/pdf/0906.4411}, eprint = {0906.4411}, keywords = {algorithmic-complexity, information, probability}, month = {Jun}, posted-at = {2009-06-25 08:36:23}, priority = {2}, title = {Algorithmic Information Theory and Foundations of Probability}, url = {http://arxiv.org/abs/0906.4411}, year = {2009} }

TY - JOUR ID - citeulike:4952144 L3 - citeulike-article-id:4952144 N2 - The use of algorithmic information theory (Kolmogorov complexity theory) to explain the relation between mathematical probability theory and `real world' is discussed. TI - Algorithmic Information Theory and Foundations of Probability KW - algorithmic-complexity KW - information KW - probability AU - Shen, Alexander PY - 2009/Jun/24/ UR - http://arxiv.org/abs/0906.4411 ER -