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Abstract: This thesis examines the problem of an autonomous agent learning a causal world model of its environment. The agent is situated in an environment with manifest causal structure. Environments with manifest causal structure are described and defined. Such environments differ from typical environments in machine learning research in that they are complex while containing almost no hidden state. It is shown that in environments with manifest causal structure learning techniques can be simple and... (Update)
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BibTeX entry: (Update)
@techreport{ bergman95learning,
author = "Ruth Bergman",
title = "Learning World Models in Environments with Manifest Causal Structure",
number = "AITR-1513",
pages = "142",
year = "1995",
url = "citeseer.ist.psu.edu/article/bergman95learning.html" }
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