AI 中文总结
该研究针对意识科学缺乏通用预测框架的问题，提出积极体验原则（PEP），通过积极体验值（PEV）量化有意识系统趋向更高积极主观体验状态的倾向，架起多学科桥梁并产生可测试预测，推动行为统一科学发展。
AI 中文摘要
意识科学中的一个基本挑战是缺乏一个用于动机行为的通用预测框架。现有理论擅长描述特定机制，但未提供解释有意识系统趋向某些状态而远离其他状态的一致方向的基本原则。为填补这一空白，我们提出积极体验原则（PEP），即有意识系统有朝着更高积极主观体验状态移动的内在倾向。通过从通用意识代码（UCC）理论定义的物理配置导出的积极体验值（PEV）量化此倾向。PEP通过假定多样行为是优化PEV的单一基本驱动力的表现，架起了物理、神经科学和心理学的桥梁，还为意识系统动力学产生可测试预测。
英文摘要
A fundamental challenge in the science of consciousness is the lack of a universal, predictive framework for motivated behavior. While existing theories excel at describing specific mechanisms, from neural pathways to computational models, they do not provide a foundational principle that explains the consistent direction of conscious systems toward certain states and away from others. To address this gap, we propose the Positive Experience Principle (PEP), a unifying principle stating that conscious systems have an inherent tendency to move toward states of higher positive subjective experience. This tendency is quantified by a Positive Experience Value (PEV), a scalar metric derived from the physical configurations defined by our earlier Universal Consciousness Code (UCC) theory. The PEP bridges physics, neuroscience, and psychology by positing that diverse behaviors are manifestations of a single, fundamental drive to optimize PEV. The PEP generates testable predictions for the dynamics of conscious systems, offering a path toward a unified science of behavior.
