Rules of creative thinking: algorithms, heuristics and Soviet cybernetic psychology

Abstract

In the 1960s, creativity became an important category for the Soviet state. Soviet educators and policy makers came to define creativity as problem solving in the service of Soviet automation. At the same time, the introduction of cybernetics, information theory and methods of artificial intelligence (AI) to psychology enabled Soviet researchers to perform quantitative studies of human cognition. The state concern with creative thinking and the cyberneticization of Soviet psychology allowed for the first quantitative studies of human problem solving. These shifts in Soviet society and scientific communities created fertile ground for the creation of Lev Landa's algo-heuristic theory (AHT), a pedagogical method of cultivating rule-bound creativity relying on tools and instruments developed and perfected in information theory and AI research. Drawing on scholarship in the history of algorithmic rationality, the Cold War discourse on creativity as a corporate imperative, and the place of cybernetics-inflected methods in the welfare domain, this article analyses the AHT as rule-based instrument of making creative thinking accessible to the lay mind.