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		<title>New Hypothesis Links Reward Prediction Errors to Autism Therapy Success</title>
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		<pubDate>Tue, 27 Oct 2026 06:48:08 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[actor-critic model]]></category>
		<category><![CDATA[applied behavior analysis]]></category>
		<category><![CDATA[autism]]></category>
		<category><![CDATA[credit assignment]]></category>
		<category><![CDATA[eligibility traces]]></category>
		<category><![CDATA[learner assent]]></category>
		<category><![CDATA[neurodevelopmental conditions]]></category>
		<category><![CDATA[quantitative behavioral theory]]></category>
		<category><![CDATA[Reinforcement Learning]]></category>
		<category><![CDATA[reward prediction error]]></category>
		<category><![CDATA[single-case experimental designs]]></category>
		<category><![CDATA[token economies]]></category>
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					<description><![CDATA[A new theoretical article proposes that the effectiveness of reinforcement procedures in ABA depends on the fidelity of the reward prediction-error signal they generate, formalized across four dimensions with nine testable predictions.]]></description>
		
		
		
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