Explanatory profiles of models of consciousness - towards a systematic classification.

IF 3.1 Q1 PSYCHOLOGY, BIOLOGICAL
Neuroscience of Consciousness Pub Date : 2021-08-27 eCollection Date: 2021-01-01 DOI:10.1093/nc/niab021
Camilo Miguel Signorelli, Joanna Szczotka, Robert Prentner
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引用次数: 0

Abstract

Models of consciousness aim to inspire new experimental protocols and aid interpretation of empirical evidence to reveal the structure of conscious experience. Nevertheless, no current model is univocally accepted on either theoretical or empirical grounds. Moreover, a straightforward comparison is difficult for conceptual reasons. In particular, we argue that different models explicitly or implicitly subscribe to different notions of what constitutes a satisfactory explanation, use different tools in their explanatory endeavours and even aim to explain very different phenomena. We thus present a framework to compare existing models in the field with respect to what we call their 'explanatory profiles'. We focus on the following minimal dimensions: mode of explanation, mechanisms of explanation and target of explanation. We also discuss the empirical consequences of the discussed discrepancies among models. This approach may eventually lead to identifying driving assumptions, theoretical commitments, experimental predictions and a better design of future testing experiments. Finally, our conclusion points to more integrative theoretical research, where axiomatic models may play a critical role in solving current theoretical and experimental contradictions.

Abstract Image

Abstract Image

意识模型的解释性概况--走向系统分类。
意识模型旨在启发新的实验方案,帮助解释经验证据,以揭示意识体验的结构。然而,无论从理论上还是从经验上看,目前还没有一种模式被一致接受。此外,由于概念上的原因,很难进行直接比较。特别是,我们认为,不同的模型或明或暗地认同不同的概念,即什么是令人满意的解释,在解释过程中使用不同的工具,甚至旨在解释截然不同的现象。因此,我们提出了一个框架,用于比较该领域现有模型的 "解释性特征"。我们将重点放在以下几个最基本的方面:解释模式、解释机制和解释目标。我们还讨论了所讨论的模型间差异的经验后果。这种方法最终可能导致确定驱动假设、理论承诺、实验预测以及更好地设计未来的测试实验。最后,我们的结论指向更具综合性的理论研究,其中公理模型可能在解决当前理论和实验矛盾方面发挥关键作用。
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来源期刊
Neuroscience of Consciousness
Neuroscience of Consciousness Psychology-Clinical Psychology
CiteScore
6.90
自引率
2.40%
发文量
16
审稿时长
19 weeks
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