Uses compression to estimate Kolmogorov complexity. Diversity is estimated through approximating the normalized information distance of two plans. Two plans are said to be more diverse if there is more information distance between them.
Their diversity estimate is influenced by the problem model representation and the naming of objects.
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%0 Conference Paper
%1 Goldman2015
%A Goldman, Robert P.
%A Kuter, Ugur
%B AAAI Conference on Artificial Intelligence
%D 2015
%K diversity
%P 3275--3282
%T Measuring Plan Diversity: Pathologies in Existing Approaches and A New Plan Distance Metric
%U https://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9989/9754
@inproceedings{Goldman2015,
added-at = {2020-05-24T20:36:48.000+0200},
author = {Goldman, Robert P. and Kuter, Ugur},
biburl = {https://www.bibsonomy.org/bibtex/2264abd015b63c4c493a9153c1bdedee5/marcondg},
booktitle = {{AAAI} Conference on Artificial Intelligence},
comment = {Uses compression to estimate Kolmogorov complexity. Diversity is estimated through approximating the normalized information distance of two plans. Two plans are said to be more diverse if there is more information distance between them.
Their diversity estimate is influenced by the problem model representation and the naming of objects.},
interhash = {4de710693109fe6160351a28fb455e3f},
intrahash = {264abd015b63c4c493a9153c1bdedee5},
keywords = {diversity},
pages = {3275--3282},
timestamp = {2020-05-24T20:36:48.000+0200},
title = {{Measuring Plan Diversity: Pathologies in Existing Approaches and A New Plan Distance Metric}},
url = {https://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9989/9754},
year = 2015
}