Zenodo (CERN European Organization for Nuclear Research)
September 1, 2026
Jincheng Zhang
This paper proposes a novel framework for assessing the value of Artificial Intelligence (AI) systems, grounded in theories of consciousness. Traditional AI value assessment methods often rely on utilitarian or deontological approaches, which can be insufficient in capturing the nuanced ethical considerations surrounding advanced AI. This framework, termed the "AI Value Assessment Framework...
Zenodo (CERN European Organization for Nuclear Research)
August 31, 2026
Jincheng Zhang
This paper proposes a novel approach to investigating the nature of consciousness by simulating large-scale, interconnected agent networks. The core claim is that emergent properties resembling consciousness can arise from such systems, even if individual agents lack intrinsic subjective experience. The proposed mechanism involves constructing complex networks of agents governed by simple...
Zenodo (CERN European Organization for Nuclear Research)
August 31, 2026
Jincheng Zhang
This paper proposes a novel framework for a unified field theory, tentatively termed "Self-Referential Field Theory" (SRFT), that integrates quantum mechanics and consciousness. We argue that the brain's neural network, viewed as a system of 'self-referential' fields, offers a compelling pathway to understanding the emergence of complex patterns and potentially, consciousness. This theory...
Zenodo (CERN European Organization for Nuclear Research)
August 31, 2026
Jincheng Zhang
This paper proposes a novel geometric formalism for investigating and modeling artificial consciousness. Traditional approaches often rely on behavioral modeling, which lacks the fundamental grounding required for understanding subjective experience. We introduce the concept of a 'Qualitative Geometry,' a mathematical system designed to represent the essential properties of consciousness – such...
Zenodo (CERN European Organization for Nuclear Research)
August 31, 2026
Jincheng Zhang
This paper proposes a formal mathematical model of consciousness based on Giulio Tononi's Integrated Information Theory (IIT) and graph theory. The core idea is that consciousness can be understood through a quantifiable measure derived from the structure and complexity of an information network. We represent consciousness as a graph where nodes represent individual cognitive elements and edges...
Zenodo (CERN European Organization for Nuclear Research)
August 31, 2026
Jincheng Zhang
The standard understanding of topology, traditionally focused on geometric spaces and their properties, often neglects the crucial role of consciousness. This paper explores the potential for a fundamentally non-Euclidean topology of consciousness, arguing that the structure of subjective experience possesses a deeper, more complex geometric order than currently appreciated. We propose a novel...
Zenodo (CERN European Organization for Nuclear Research)
August 31, 2026
Jincheng Zhang
This paper investigates the potential for mapping human consciousness states through multi-scale time series prediction. The core idea is to analyze the inherent structure within time series data, specifically focusing on the relationships between different temporal scales, and establish a predictive model that correlates with subjective reports or physiological measures of consciousness. We...
Zenodo (CERN European Organization for Nuclear Research)
August 28, 2026
Jincheng Zhang
This paper proposes a novel mathematical framework for understanding consciousness, framing it as a complex dynamical system governed by principles of quantum chaos. The core argument centers on the hypothesis that subjective experience emerges from the intricate, non-linear dynamics of the brain, specifically driven by seemingly random fluctuations exhibiting sensitive dependence on initial...
Zenodo (CERN European Organization for Nuclear Research)
August 28, 2026
Jincheng Zhang
This paper proposes a novel computational model for exploring the nature of consciousness, moving beyond purely objective data-driven approaches. The core claim centers on constructing a model grounded in an individual's consciousness state and subjective experience. This is achieved through the utilization of brain-computer interface (BCI) technology to capture signals indicative of...
Zenodo (CERN European Organization for Nuclear Research)
August 20, 2026
Jincheng Zhang
This paper proposes the Algorithmic Conscious Structure (ACS) theory, a framework that investigates the structural prerequisites for consciousness within computational systems. It diverges from traditional approaches to consciousness research by focusing not on the subjective experience of awareness itself, but on the necessary architectural features that, if present, would suggest the...
Zenodo (CERN European Organization for Nuclear Research)
August 6, 2026
Jincheng Zhang
This paper introduces the Mathematical Boundary Consciousness Theory (MBCT), a rigorous theoretical framework that investigates the epistemic limits, structural horizons, and self-referential boundaries of formal mathematical systems. Moving beyond traditional views of logical consistency and deduction, MBCT models formal systems as dynamic cognitive spaces equipped with intrinsic awareness of...