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| -rw-r--r-- | paper2/thesis.pdf | bin | 204117 -> 205111 bytes | |||
| -rw-r--r-- | paper2/thesis.tex | 17 |
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diff --git a/paper2/thesis.pdf b/paper2/thesis.pdf Binary files differindex 7745f69..9a6e3cc 100644 --- a/paper2/thesis.pdf +++ b/paper2/thesis.pdf diff --git a/paper2/thesis.tex b/paper2/thesis.tex index 1167354..0055337 100644 --- a/paper2/thesis.tex +++ b/paper2/thesis.tex @@ -65,6 +65,23 @@ Cognitive Architectures, modeling learning, production systems, ACT-R \todo[inline]{Productions are Rules with a condition and an action. Example production. can interact with various modules (memory, vision, motor)} +\begin{table}[hb] +\caption{Example Production} +\label{tab:exprod} +\begin{tabular}{lr} +\toprule +\textbf{IF} \\ + condition \\ +\midrule + \textbf{THEN} \\ + do stuff \\ +\bottomrule +\end{tabular} + +\bigskip +\small\textit{Note}. Example Production +\end{table}\todo{what is a good example production} + \subsection*{Learning} \todo[inline]{Retrieval(activation) strength, utility learning, production compilation, ...} |