BreakthroughCognitionGPT: A General-Purpose Multimodal Artificial Intelligence Framework for Breakthrough Cognition and Creative Thinking Through Divergent Exploration, Associative Integration, and Conceptual Innovation

Contemporary generative artificial intelligence systems have demonstrated substantial capabilities in language generation, knowledge retrieval, reasoning, and multimodal understanding. However, the ability to generate genuinely breakthrough ideas and construct fundamentally new conceptual possibilities remains an important research direction. Human creativity is not supported by a single thinking mechanism. Rather, it involves multiple interacting cognitive processes, including insight, inspiration, creative recombination, divergent exploration, convergent evaluation, associative reasoning, analogical transfer, conceptual reframing, reverse thinking, and cross-domain integration. These processes allow individuals to move beyond established assumptions, discover unexpected relationships, generate alternative possibilities, and transform existing knowledge into novel concepts and solutions. Inspired by these cognitive mechanisms, this paper proposes BreakthroughCognitionGPT, a general-purpose artificial intelligence framework designed to systematically integrate multiple forms of human-inspired creative cognition into a unified computational architecture. The proposed framework introduces ten complementary thinking mechanisms: Insight Thinking, Inspiration Thinking, Creative Thinking, Divergent Thinking, Convergent Thinking, Associative Thinking, Analogical Thinking, Reframing Thinking, Reverse Thinking, and Cross-domain Thinking. Rather than relying on a single reasoning strategy, the system dynamically selects, combines, and coordinates these mechanisms according to the characteristics of a given problem. A central objective is to enable the system to generate not only alternative answers but also previously unexplored concepts, unconventional interpretations, new combinations of existing knowledge, and potentially transformative solutions. Furthermore, BreakthroughCognitionGPT is designed as a multimodal architecture capable of processing and integrating textual, visual, auditory, video, and other structured or perceptual information. This enables creative cognition to be initiated by not only textual questions but also images, sounds, real-world events, visual patterns, and cross-modal relationships. The framework incorporates candidate generation, conceptual recombination, cognitive transformation, novelty assessment, feasibility evaluation, and iterative refinement. It also proposes adaptive coordination among the ten thinking mechanisms, allowing different cognitive strategies to operate sequentially or concurrently depending on the task. This paper establishes a conceptual and technically oriented foundation for a new direction in general-purpose creative artificial intelligence. It identifies architectural components, operational mechanisms, evaluation dimensions, and testable research hypotheses. The proposed framework is conceptual, and no experimental performance or demonstrated superiority is claimed at this stage.