The Dichotomous Conceptualization Framework (BPI) proposes a structural explanation of conceptual novelty based on the partitioning of conceptual space. While many established theories of creativity explain the emergence of novelty through exploration, transformation, or expansion within a predefined conceptual domain, the BPI redefines the conditions for generating novelty as a structural consequence of the partitioning of conceptual space itself. The framework begins with an operationally defined recognition set (S) within a conceptual universe (U). From this definition, its complement ( SC ) follows as a logical consequence. Rather than directly expressing or exploring this unrecognized complement, BPI introduces exclusion conditions defined relative to S. Through a mechanism based on this complement, new candidate concepts are structurally derived. In contrast to exploration-based accounts of creativity and expansion-oriented design theories such as CK theory, BPI does not rely on the iterative extension of known knowledge or the traversal of a fixed search space. Instead, it induces novelty by structurally shifting the focus of search through the act of partitioning. In this sense, novelty is not discovered within a space, but rather is generated through the reconfiguration of its structural boundaries. This framework distinguishes between the generation of novelty and its evaluation. While creativity is generally defined as requiring both novelty and usefulness, BPI focuses on the structural conditions for the generation of novelty and treats evaluation judgments as a separable subsequent stage. Because this model is defined by explicit structural operations (set partitioning, complementation, and exclusion conditions), it is inherently compatible with computational interpretation. Therefore, BPI provides a theoretical bridge between creativity research and computational creativity, providing a formally interpretable model applicable to artificial generative systems. This study positions BPI as a structural theory of concept generation in creativity research, while also making it easily transferable to computational and artificial contexts. The rudder is based on the "Binary Partition Ideation Framework (BPI Framework)." This method, which strictly divides the conceptual space as a whole of concepts into "already recognized areas" and "unrecognized areas," is a limitation of concept generation based on structural recognition . It clarifies the structural position from which a concept emerges. This method does not directly explore the unrecognized area, but rather identifies new concepts ex post through a group of candidates derived from exclusion criteria based on the recognized area. Structural bisection thinking recognizes the creative act not as something that relies on intuition or chance, but as the result of a definitive structural understanding that divides the conceptual space . It can also be applied to AI and computational implementations, providing a universal concept generation methodology in areas where this concept reaches its limits.
Takashi HADA (Sat,) studied this question.