2022
DOI: 10.1080/09515089.2022.2054789
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Counterfactual cognition and psychosis: adding complexity to predictive processing accounts

Abstract: Counterfactual cognition and psychosis: Adding complexity to predictive processing accountsOver the last decade or so, several researchers have considered the predictive processing framework (PPF) to be a useful perspective from which to shed some much-needed light on the mechanisms behind psychosis. Most approaches to psychosis within PPF come down to the idea of the "atypical" brain generating inaccurate hypotheses that the "typical" brain does not generate, either due to a systematic top-down processing bia… Show more

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Cited by 2 publications
(4 citation statements)
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“…It has further demonstrated almost unprecedented potential for bringing human cognition under a single set of processing principles, offering a single explanatory basis for various cognitive capacities as well as cognitive and social sciences, arts, and humanities (see, e.g., Clark, 2013;Friston, 2010;Seth, 2015). Predictiveprocessing-based explanations already span many domains, including but not limited to language (Rappe 2019(Rappe , 2022, emotion (Miller & Clark, 2018;Seth, 2013), planning (Kaplan & Friston, 2018), various psychopathologies (Adams et al, 2013;Fletcher & Frith, 2009;Pellicano & Burr, 2012;Rappe & Wilkinson, 2023;Van de Cruys et al, 2014), and even consciousness (Clark, Friston & Wilkinson, 2019;Deane, 2021;Dołęga & Dewhurst, 2021). 4 Hence, in relying on the predictive processing framework in explaining the mechanisms of causal reasoning through counterfactuals, we situate our proposal in a much broader body of cognitive science and philosophical literature.…”
Section: Trace Minimalism and Predictive Processingmentioning
confidence: 99%
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“…It has further demonstrated almost unprecedented potential for bringing human cognition under a single set of processing principles, offering a single explanatory basis for various cognitive capacities as well as cognitive and social sciences, arts, and humanities (see, e.g., Clark, 2013;Friston, 2010;Seth, 2015). Predictiveprocessing-based explanations already span many domains, including but not limited to language (Rappe 2019(Rappe , 2022, emotion (Miller & Clark, 2018;Seth, 2013), planning (Kaplan & Friston, 2018), various psychopathologies (Adams et al, 2013;Fletcher & Frith, 2009;Pellicano & Burr, 2012;Rappe & Wilkinson, 2023;Van de Cruys et al, 2014), and even consciousness (Clark, Friston & Wilkinson, 2019;Deane, 2021;Dołęga & Dewhurst, 2021). 4 Hence, in relying on the predictive processing framework in explaining the mechanisms of causal reasoning through counterfactuals, we situate our proposal in a much broader body of cognitive science and philosophical literature.…”
Section: Trace Minimalism and Predictive Processingmentioning
confidence: 99%
“…The research community has increasingly acknowledged that generating alternative broadly causal explanations (hypothesis, predictions, probabilistic links) to the past, current, or future states of events plays a part in a wide range of cognitive tasks. Such rich spaces of causal alternatives are not just emphasized in the traditional domains such as planning and goal-oriented behavior (Byrne, 2016) but also for learning priors in the absence of direct feedback (Zylberberg et al, 2018), imagination (Jones & Wilkinson, 2020;Burr & Jones, 2016;Friston et al, 2012;Seth, 2014), and even sensory perception and its phenomenology (Seth, 2014;Wilkinson, 2020;Rappe & Wilkinson, 2023). However, the mechanisms behind generating alternative scenarios in such frameworks are underexplored, and not all alternative scenarios are created equal (Rappe & Wilkinson, 2023, for more detail).…”
Section: Trace Minimalism and Predictive Processingmentioning
confidence: 99%
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