一个融合SLAM技术原理、最高评价规律和加权ERG理论构建的思维意识运行模型
A Cognitive Consciousness Operating Model Constructed by Integrating the Principles of SLAM Technology, the Highest Evaluation Rule, and Weighted ERG Theory

本论文旨在探讨一个融合SLAM技术原理、最高评价规律和加权ERG理论构建的思维意识运行模型，以模拟人的思维意识运行过程和规律。在决定论的背景框架下，本研究构建了一个被称为最高评价模型的认知模型，将SLAM技术原理应用于认知的构建，并以最高评价规律为核心对认知过程进行建模。同时，我们引入经过加权的ERG需求模型作为意识的决策模型和动力模型。通过这一模型的构建，本研究希望以程序化的方式更好地理解人的思维意识运行的过程，并为通过人工智能模拟人的自我意识运行过程提供可量化与质化的理论思考。此外，本研究也为决定论框架下自我意识和自由意志的进一步研究提供了新的思路和方法。
This paper aims to explore a cognitive consciousness operational model that integrates SLAM (Simultaneous Localization and Mapping) technology principles, the highest evaluation rule, and the weighted ERG (Existence, Relatedness, and Growth) theory. The model, referred to as the highest evaluation model, is constructed within the deterministic framework to simulate the processes and patterns of human cognitive consciousness. By applying SLAM technology principles to cognitive construction, modeling cognitive processes based on the highest evaluation rule, and incorporating a weighted ERG demand model as the decision-making and motivational model of consciousness, this model quantitatively and qualitatively examines the operational processes of human cognitive consciousness. Furthermore, it provides new perspectives and approaches for further research on self-consciousness and free will within the deterministic framework.