Technology learning systems as non‐trivial machines

Abstract

Purpose

Considering the technology learning system as a non‐trivial machine, this paper seeks to take a first step to ground experience and learning curves in cybernetic theory.

Design/methodology/approach

Assuming operational closure, feedback regulation and a constant elasticity of output/input ratio to cumulative output makes it possible to calculate eigenvalues for the self‐reflecting loop in the learning system.

Findings

The results imply a zero mode learning rate of 20 per cent with higher modes providing learning rates smaller than 8 per cent. The results reproduce the grand features of technology learning.

Research limitations/implications

The NTM approach provides basis for work to understand improvements in grafted technologies and effects on learning from radical innovations.

Practical implications

Further inquiries into the learning system need complementary organisational analysis.

Originality/value

Based on the theory of the non‐trivial machine, this paper takes the first step to ground the experience and learning curves in cybernetic theory.

Citation

Wene, C. (2007), "Technology learning systems as non‐trivial machines", Kybernetes, Vol. 36 No. 3/4, pp. 348-363. https://doi.org/10.1108/03684920710747002