Why Uncertainty Is Essential for Consciousness: Local Prospect Theory vs. Predictive Processing

操作化 意识 计算机科学 冥想 认知科学 人工智能 感知 多样性(控制论) 注意 心理学 认知心理学 认识论 神学 哲学 神经科学 心理治疗师
作者
Francis Heylighen,Shima Beigi
出处
期刊:Entropy [Multidisciplinary Digital Publishing Institute]
卷期号:27 (2): 140-140
标识
DOI:10.3390/e27020140
摘要

We present and develop local prospect theory (LPT), a novel framework for understanding consciousness, and, in particular, subjective experience and free will. While predictive processing (PP) theories model the brain as trying to optimize the accuracy of predictions, LPT sees uncertainty as an essential feature of conscious decision-making. This is achieved by creating a “local prospect”—a range of potential developments colored by subjective experience from which an agent can freely choose how to react. Drawing on global workspace theory, LPT conceptualizes consciousness as a self-maintaining process of circulating neural activation, creating a temporary working memory where thoughts and feelings coming from different brain modules enter into an asynchronous, non-linear interaction. This contrasts with unconscious processes, which operate automatically and deterministically. LPT proposes entropy-based measures, including the determination of actions by conditions and the breadth of prospect, to quantify the range of potential developments considered. This framework allows us to understand Buddhist practices and concepts, such as mindfulness, liberation from attachments, and meditation, which broaden consciousness and de-automatize reactions by reducing the influence of conditioning. The proposed prospect measure may be operationalized by indicators such as the variety of action, breadth of perception, and unpredictability of behavior, thus allowing for the empirical testing of the theory.
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