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DTSTAMP:20260409T011714Z
DTSTART;TZID=Europe/London:20260430T090000
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SUMMARY:Experimental argument analysis: Interdisciplinary perspectives on verbal reasoning (Philosophical Psychology)
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DESCRIPTION:<p>The Special Issue of Philosophical Psychology\, guest edited by Eugen Fischer and Dimitra Lazaridou-Chatzigoga will bring together researchers from experimental philosophy\, cognitive psychology\, and experimental linguistics\, to open up the experimental philosophy of verbal reasoning as a new interdisciplinary field of study.</p>\n<p>To help develop interdisciplinary experimental argument analysis as a fruitful successor project to traditional conceptual analysis that benefits from advances in cognitive psychology and experimental linguistics\, this SI will address questions about methods\, cognitive mechanisms\, and philosophical applications.</p>\n<p><strong>Methods</strong>:</p>\n<ul>\n<li>How can empirical studies support the reconstruction or evaluation of verbal reasoning?</li>\n<li>Which conceptual and empirical tools can be adapted for this purpose\, and how? How can formal and experimental methods be combined to facilitate normative evaluation?</li>\n</ul>\n<p><strong>Mechanisms</strong>:</p>\n<ul>\n<li>How do automatic comprehension and production inferences shape verbal reasoning?</li>\n<li>What biases affect such inferences? Which factors affect specifically the contextualization of default inferences?</li>\n<li>How are irregular polysemes processed? What norms do people rely on for specific arguments of interest? How much individual variation is there in this respect?</li>\n</ul>\n<p><strong>Applications</strong>:</p>\n<ul>\n<li>How can insights into language processing\, and specifically polysemy processing\, support the assessment of philosophical arguments?</li>\n<li>How effective are verbal arguments at changing people's minds?</li>\n<li>Which aspects of automatic language processing influence the persuasiveness of verbal arguments? To what extent do such arguments contribute to philosophical puzzles and paradoxes?</li>\n<li>How can insight into automatic language processing support the improvement of our conceptual tools?</li>\n</ul>
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