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2. The incorporation of a weighting mechanism for planning <strong>al</strong>lows to especify the plans<br />

acceptability, increasing the number of conclu<strong>de</strong>d plans successfuliy.<br />

7. CQNCLOSIONS<br />

An overview of the architecture of a system with an embed<strong>de</strong>d machine learning mechanism<br />

based on theory mutation and theory pon<strong>de</strong>ration has be<strong>en</strong> giv<strong>en</strong>, estimators that permits to<br />

obtain a measure of how good or how bad is the g<strong>en</strong>erated plan has be<strong>en</strong> proposed and the<br />

improvem<strong>en</strong>t of the behavior of the system with the embed<strong>de</strong>d unsupervised learning<br />

mechanism has be<strong>en</strong> shown experim<strong>en</strong>t<strong>al</strong>y.<br />

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