Time-consciousness in computational phenomenology: a temporal analysis of active inference.

IF 3.1 Q1 PSYCHOLOGY, BIOLOGICAL Neuroscience of Consciousness Pub Date : 2023-03-17 eCollection Date: 2023-01-01 DOI:10.1093/nc/niad004
Juan Diego Bogotá, Zakaria Djebbara
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Abstract

Time plays a significant role in science and everyday life. Despite being experienced as a continuous flow, computational models of consciousness are typically restricted to a sequential temporal structure. This difference poses a serious challenge for computational phenomenology-a novel field combining phenomenology and computational modelling. By analysing the temporal structure of the active inference framework, we show that an integrated continuity of time can be achieved by merging Husserlian temporality with a sequential order of time. We also show that a Markov blanket of the present moment integrates past and future moments of both subjective temporality and objective time in an asynchronous manner. By applying the integrated continuity, it is clear that active inference makes use of both subjective temporality and objective time in an integrated fashion. We conclude that active inference, on a temporal note, qualifies as a computational model for phenomenological investigations.

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计算现象学中的时间意识:主动推理的时间分析。
时间在科学和日常生活中扮演着重要角色。尽管时间是连续流动的,但意识的计算模型却通常局限于连续的时间结构。这种差异给计算现象学--现象学与计算建模相结合的新领域--带来了严峻的挑战。通过分析主动推理框架的时间结构,我们表明,通过将胡塞尔的时间性与时间的顺序性合并,可以实现时间的整体连续性。我们还证明,当下时刻的马尔可夫空白以异步的方式整合了主观时间性和客观时间的过去和未来时刻。通过应用整合连续性,我们可以清楚地看到,主动推理以整合的方式利用了主观时间性和客观时间。我们的结论是,从时间角度看,主动推理可作为现象学研究的计算模型。
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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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