Multipole Reconstructive Cognition: A Metadisciplinary Methodology of Integrative and Emergent Knowledge

Multipole Reconstructive Cognition (MulReC) is proposed as a metadisciplinary methodological framework for the construction, comparison, integration, verification, and recursive refinement of representations derived from heterogeneous and partially distributed information. The framework coordinates reconstructive cognition, multipole relations, methodological projections, evidence genealogy, independent evidential convergence, alternative model generation, explicit uncertainty, cognitive multipole organization, cultural systems of knowing, expanding information environments, and human–AI hybrid cognition. Its central principle is integrative emergence: structured interaction among differentiated projections can reveal higher-order relations that remain less accessible within individual projections. The intellectual genealogy of MulReC converges from abduction, systems theory, consilience, historical reconstruction, transdisciplinarity, distributed and extended cognition, provenance studies, and Hybrid Intelligence. Two direct formative lines are distinguished: V. V. Lensky’s cognitive methodology of multipolarity and the Lensky–Kochnev programme of polynary relations and multipolar models. This is a trilingual preprint containing complete English, Lithuanian, and Russian versions of the study (MulReC · DauReP · МноРеП).