Logical Inferences


Future Scenario Building based on Logical Inferences

The Unicist Approach to Future Research is based on the research of the unicist ontogenetic intelligence of nature that started at the beginning of the 80’s.

It was a step by step discovery based on the apprehension of the nature of social phenomena entering afterwards in the institutional and individual evolution. Its integration with biology and physics was the final stage that was achieved.

This approach is based on the fact that future and past are not symmetric. This is the case of all the environments that are evolving or involving. The past and the future are only symmetric in stagnated environments.

The objective of the unicist approach to future research is to define a future scenario in order to adapt and influence it.

When an individual “looks back” at the history, the events that occurred are reasonable, understandable and logical. Therefore when approaching the future what is required is having the “logic” that is evident when analyzing the events of the past.

The building of future scenarios is based on the fact that the structure of the unicist ontology of a specific environment needs to be found in the past and that the facts of the present are used to infer the future.

The unicist approach to future research is based on inferring the future based on the laws of evolution established by the ontogenetic intelligence of nature, which allowed developing the unicist ontology of evolution.

Access a synthesis on the “Discovery of the Unicist Ontology to Infer the Future” that is available at the Scientific Dissemination Program. You will find there other syntheses that might be of your interest:
http://www.unicist-school.org/future-research/wp-content/uploads/2012/09/ontology_infer_future-1.pdf

Diana Belohlavek

NOTE: The Unicist Research Institute was the pioneer in complexity science research and became a global decentralized world-class research organization in the field of human adaptive systems.
http://www.unicist.org