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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"New serif",serif;border:none windowtext 1.0pt;padding:0in">Dear colleagues,</span><span style="font-size:10.0pt;font-family:"Helvetica",sans-serif"><o:p></o:p></span></p>
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<p style="margin:0in"><span style="font-size:10.0pt;font-family:"New serif",serif;border:none windowtext 1.0pt;padding:0in">Please find below the call for submission to a Special Issue in <i>New Ideas in Psychology</i> on</span><span style="font-size:10.0pt;font-family:Roboto"><o:p></o:p></span></p>
<p style="margin:0in"><b><i><span style="font-size:10.0pt;font-family:"New serif",serif;border:none windowtext 1.0pt;padding:0in">Probabilistic nature of perception and cognition.</span></i></b><span style="font-size:10.0pt;font-family:Roboto"><o:p></o:p></span></p>
<p style="margin:0in"><b><i><span style="font-size:10.0pt;font-family:"New serif",serif;border:none windowtext 1.0pt;padding:0in"><br>
<br>
</span></i></b><span style="font-size:10.0pt;font-family:Roboto"><o:p></o:p></span></p>
<p style="margin:0in"><span style="font-size:10.0pt;font-family:"New serif",serif;border:none windowtext 1.0pt;padding:0in">This special issue aims to provide an interdisciplinary platform for papers that focus on bridging critical gaps between the theoretical
and the empirical merits of probabilistic theories of perception and cognition by assessing their explanatory value in Psychology. <br>
<br>
<br>
</span><span style="font-size:10.0pt;font-family:Roboto"><o:p></o:p></span></p>
<p style="margin:0in"><b><span style="font-size:10.0pt;font-family:"New serif",serif;border:none windowtext 1.0pt;padding:0in">Guest Editors:</span></b><span style="font-size:10.0pt;font-family:Roboto"><o:p></o:p></span></p>
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<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-size:10.0pt;font-family:"New serif",serif;border:none windowtext 1.0pt;padding:0in">Ömer Dağlar Tanrikulu, University of New Hampshire<br>
Email: <a href="mailto:OmerDaglar.Tanrikulu@unh.edu" target="_blank"><span style="font-family:"inherit",serif">OmerDaglar.Tanrikulu@unh.edu</span></a><br>
<br>
<br>
</span><span style="font-size:10.0pt"><o:p></o:p></span></p>
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<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-size:10.0pt;font-family:"New serif",serif;border:none windowtext 1.0pt;padding:0in">Árni Kristjánsson, University of Iceland<br>
Email: <a href="mailto:ak@hi.is" target="_blank"><span style="font-family:"inherit",serif">ak@hi.is</span></a><br>
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</span><span style="font-size:10.0pt;font-family:"New serif",serif"><o:p></o:p></span></p>
<p style="margin:0in"><span style="font-size:10.0pt;font-family:"New serif",serif;border:none windowtext 1.0pt;padding:0in">Within cognitive psychology, the brain is considered an information-processing system, making inferences about the external environment
from sensory input and stored information. However, the available information incorporates uncertainty due to external and internal noise. This inherent uncertainty in perceptual and cognitive representations suggests that the nature of these inferences is
probabilistic. With advances in mathematical modeling, such probabilistic (esp. Bayesian) approaches have become a unifying framework for studying human cognition, and are becoming increasingly dominant in contemporary research in perceptual psychology.<br>
<br>
<br>
</span><span style="font-size:10.0pt;font-family:Roboto"><o:p></o:p></span></p>
<p style="margin:0in"><span style="font-size:10.0pt;font-family:"New serif",serif;border:none windowtext 1.0pt;padding:0in">Despite the popularity of the assumption that perception/cognition represents the environment as an array of probabilistically weighted
options, there has yet to be a consensus on the psychological and neural validity of such models. Experiments that directly investigate whether the brain represents information as probability distributions are currently limited. Designing experiments to test
the core assumptions of such probabilistic accounts has proved challenging. The high computational complexity of probabilistic calculations can be regarded as a challenge to the feasibility of the brain implementing such computations. Even if the brain approximates
such complex computations, the exact nature of this approximation is unknown. These probabilistic theories appear to clash with our everyday visual experience since we don't perceive the world as a constantly shifting “Bayesian blur”.<br>
<br>
<br>
</span><span style="font-size:10.0pt;font-family:Roboto"><o:p></o:p></span></p>
<p style="margin:0in"><i><span style="font-size:10.0pt;font-family:"New serif",serif;border:none windowtext 1.0pt;padding:0in">New Ideas in Psychology</span></i><span style="font-size:10.0pt;font-family:"New serif",serif;border:none windowtext 1.0pt;padding:0in"> is
a journal for theoretical psychology in its broadest sense. We are looking for new and seminal ideas from within Psychology and other fields with something to bring to Psychology. We welcome presentations and criticisms of theory, background metaphysics, and
fundamental issues of method, both empirical and conceptual. We emphasize the need for informed discussion of psychological theories to be interdisciplinary. Empirical papers are accepted in this special issue, but we expect them to focus on conceptual issues
and be theoretically creative.<br>
<br>
<br>
</span><span style="font-size:10.0pt;font-family:Roboto"><o:p></o:p></span></p>
<p style="margin:0in"><b><span style="font-size:10.0pt;font-family:"New serif",serif;border:none windowtext 1.0pt;padding:0in">Submission deadline:</span></b><span style="font-size:10.0pt;font-family:"New serif",serif;border:none windowtext 1.0pt;padding:0in"> November
30, 2024</span><span style="font-size:10.0pt;font-family:Roboto"><o:p></o:p></span></p>
<p style="margin:0in"><span style="font-size:10.0pt;font-family:"New serif",serif;border:none windowtext 1.0pt;padding:0in"></span><span style="font-size:10.0pt;font-family:Roboto"><o:p></o:p></span></p>
<p style="margin:0in"><span style="font-size:10.0pt;font-family:"New serif",serif;border:none windowtext 1.0pt;padding:0in"><b>Submission Information</b></span><span style="font-size:10.0pt;font-family:Roboto"><o:p></o:p></span></p>
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<p class="MsoNormal"><span class="ydp1156fc03yiv7130250427ydpbf9064axelementtoproof1"><span style="font-size:10.0pt;font-family:"New serif",serif;border:none windowtext 1.0pt;padding:0in">For submission guidelines, please visit the call-for-papers page on
the journal’s website: </span></span><span style="font-size:10.0pt;font-family:"Helvetica",sans-serif"><a href="https://www.sciencedirect.com/journal/new-ideas-in-psychology/about/call-for-papers#probabilistic-nature-of-perception-and-cognition" target="_blank">https://www.sciencedirect.com/journal/new-ideas-in-psychology/about/call-for-papers#probabilistic-nature-of-perception-and-cognition</a><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Helvetica",sans-serif"><o:p> </o:p></span></p>
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<p class="MsoNormal"><span class="ydp1156fc03yiv7130250427ydpbf9064axelementtoproof1"><span style="font-size:10.0pt;font-family:"New serif",serif;border:none windowtext 1.0pt;padding:0in">For questions and further information, please get in touch with the guest
editors, Omer Daglar Tanrikulu and Arni Kristjansson.</span></span><span style="font-size:10.0pt;font-family:"Helvetica",sans-serif"><o:p></o:p></span></p>
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