About us


The Unicist Future Research Lab at The Unicist Research Institute is an advanced platform dedicated to building future scenarios by recognizing that the future and past are not symmetric. Unlike stagnant environments where past and future might align symmetrically, evolving or involving environments require a comprehensive understanding grounded in the ontogenetic intelligence of nature.

The lab employs the Unicist Future Research Method, which is crucial in defining future scenarios to adapt and influence them. This method involves analyzing the ontological structures of past events, utilizing present data, and predicting the future through the unicist ontogenetic logic. This logic manages adaptive systems’ evolution, built on a triadic structure defined by purpose, active function, and energy conservation function.

Among other developments on future scenarios, the Lab developed the archetypes of 70 countries that allows developing specific future scenarios. The Lab is led by Peter Belohlavek.

Learn more:
https://www.unicist.org/

Country Scenarios

ChinaGermanyUSARussiaFranceBrazilIndiaJapanArgentina

Basic Discoveries that Made the New Stage Possible

  • Unicist Ontogenetic Logic: It is an emulation of the intelligence of nature that regulates the functionality, dynamics, and evolution of living beings and adaptive entities of any kind.
  • Unicist Evolution Laws: Including the laws of functionality, dynamics, and evolution of adaptive systems.
  • Unicist Ontology: It defines the nature of things based on their functionality.
  • Unicist Functionalist Principles: These principles manage the unified field of entities and define the functionality of adaptive environments based on their purposes, active functions and energy conservation functions.
  • Unicist Binary Actions: These are two synchronized actions that open possibilities and ensure results to make functionalist principles work.
  • Functionalist Approach to Science: A pragmatic, structuralist and functionalist approach to adaptive systems and environments integrating the know-how and the know-why of things.

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