Dr. Jerry A. Smith's article introduces the Revenue Growth Multi-Agent System (RG-MAS), a novel framework for optimizing revenue growth. RG-MAS integrates psychological and sociological principles to understand human decision-making and collective behavior, creating a dynamic, adaptable system. Key components include a dynamic graph framework, specialized agents analyzing individual and group dynamics, and continuous feedback loops enabling the system to learn and improve. The system's antifragility allows it to thrive amidst market disruptions, offering applications across diverse industries. Further research will explore integrating emerging technologies and refining sociological models for broader applicability.

Medium Article: https://medium.com/@jsmith0475/leveraging-psychology-and-sociology-in-revenue-growth-a-multi-agent-antifragile-system-framework-8d1d6aef6d15

Leveraging Psychology and Sociology in Revenue Growth: A Multi-Agent, Antifragile System Framework

Medium Article: https://medium.com/@jsmith0475/building-human-facing-agentic-systems-the-psychology-and-sociology-of-super-intelligence-1571cf565d51

Dr. Jerry Smith's January 2025 Medium article explores the psychological, sociological, and ethical implications of "human-facing agentic systems," AI powered by large language models (LLMs). These systems, leveraging multi-headed attention mechanisms, aim to collaborate with humans, not merely serve as tools. The article emphasizes the potential for both empowerment and manipulation inherent in these systems, highlighting the crucial role of self-interest, emotion, and identity in human-AI interaction. Smith concludes with a call for responsible development guided by transparency, inclusivity, and justice, warning against the potential for these systems to become instruments of control.

Building Human-Facing Agentic Systems: The Psychology and Sociology of Super Intelligence

In-Depth Explorations of Neuroscience-Inspired Architectures Revolutionizing AI.

Leveraging Psychology and Sociology in Revenue Growth: A Multi-Agent, Antifragile System Framework

Dr. Jerry A. Smith

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