Model-Agents of Change: A Meta-Cognitive, Interdisciplinary, Self-Similar, Synergetic Approach to Neuro-Symbolic Semantic Search and Retrieval Augmented Generation

Drawing inspiration from lateral thinking, synergetics, psychology, creativity, and business, this research project employs an interdisciplinary approach to investigate the research process which drives innovation in the field of artificial intelligence. This research project explores methods for harnessing the synergy present in the latest, neuro-symbolic paradigm of artificial intelligence, while noting similarities between the first two waves of AI and dual process theory. It attempts to integrate unconventional, yet potentially promising interdisciplinary ideas into a proof of concept, including creative tools and techniques like the Six Thinking Hats, methods of psychotherapy, including cognitive behavioral therapy and internal family systems, as well as principles related to conflict resolution and ``tensegrity". The proof of concept is a hybrid semantic search system for research papers in computer science, constructed using a process of rapid prototyping and iteration, with special consideration for evaluating how more modular, interpretable, and human-centric approaches to system design can help narrow the gap between cutting-edge AI research and ethical, practical application in business. This research is conducted with the hope of opening the research field to greater creative possibility, as well as deliberate action towards creating more sustainable and human-centric artificial intelligence systems.