https://puma.ub.uni-stuttgart.de/tag/ACT-R%20learning%20performancePUMA RSS feed for /tag/ACT-R%20learning%20performance2026-04-14T13:57:23+02:00https://puma.ub.uni-stuttgart.de/bibtex/22107c5fc20a6011daa68f70fa4309d1d/mariawirzbergermariawirzberger2020-03-20T16:22:37+01:00ACT-R cognition learning modeling myown performance <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Maria Wirzberger" itemprop="url" href="/person/15f15226999856b02330804f9950fec55/author/0"><span itemprop="name">M. Wirzberger</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jelmer P Borst" itemprop="url" href="/person/15f15226999856b02330804f9950fec55/author/1"><span itemprop="name">J. Borst</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Josef F Krems" itemprop="url" href="/person/15f15226999856b02330804f9950fec55/author/2"><span itemprop="name">J. Krems</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Günter Daniel Rey" itemprop="url" href="/person/15f15226999856b02330804f9950fec55/author/3"><span itemprop="name">G. Rey</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">52nd Annual Meeting of the Society for Mathematical Psychology. Program and Abstracts</span>, </em></span><em>page <span itemprop="pagination">19--20</span>. </em><em>Montreal, QB, </em><em><span itemprop="publisher">Society for Mathematical Psychology</span>, </em>(<em><span>2019<meta content="2019" itemprop="datePublished"/></span></em>)</span>Fri Mar 20 16:22:37 CET 2020Montreal, QB52nd Annual Meeting of the Society for Mathematical Psychology. Program and Abstracts19--20A model-based explanation of performance related changes in abstract stimulus-response learning2019ACT-R cognition learning modeling myown performance https://puma.ub.uni-stuttgart.de/bibtex/2ec5bc4f17a2429bac7e64966fe54b791/mariawirzbergermariawirzberger2020-03-20T16:22:37+01:00ACT-R interruptions learning modeling myown performance <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Maria Wirzberger" itemprop="url" href="/person/1d8107b31b5f879a3a0df83c15e7b3a15/author/0"><span itemprop="name">M. Wirzberger</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jelmer P Borst" itemprop="url" href="/person/1d8107b31b5f879a3a0df83c15e7b3a15/author/1"><span itemprop="name">J. Borst</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Josef F Krems" itemprop="url" href="/person/1d8107b31b5f879a3a0df83c15e7b3a15/author/2"><span itemprop="name">J. Krems</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Günter Daniel Rey" itemprop="url" href="/person/1d8107b31b5f879a3a0df83c15e7b3a15/author/3"><span itemprop="name">G. Rey</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">41st Annual Meeting of the Cognitive Science Society</span>, </em></span><em>page <span itemprop="pagination">1206--1211</span>. </em><em>Montreal, QB, </em><em><span itemprop="publisher">Cognitive Science Society</span>, </em>(<em><span>2019<meta content="2019" itemprop="datePublished"/></span></em>)</span>Fri Mar 20 16:22:37 CET 2020Montreal, QB41st Annual Meeting of the Cognitive Science Society1206--1211An ACT-R approach to investigating mechanisms of performance-related changes in an interrupted learning task2019ACT-R interruptions learning modeling myown performance