Kohlberg proposed that various cultural, social and educational factors may influence moral reasoning. As far as the authors know, participants in previous studies of moral reasoning have been, largely, educated persons, irrespective of their culture. Two studies on moral reasoning were conducted in a Mexican–United States border city. The first study found that even some unschooled, non‐literate adults reason at a high stage (formal operations, Moral 3/4). Exposure to different cultural and organizational contexts, in addition to assumption of leadership roles, (...) was associated with such reasoning. Likewise, the second study found that high school students who were identified as leaders, especially those with cross‐cultural contact and those who were of high socio‐economic status, reasoned at higher stages than those who were not. Overall, stage of reasoning increased with age. (shrink)

We show 13 stages of the development of tool-use and tool making during different eras in the evolution of Homo sapiens. We used the NeoPiagetian Model of Hierarchical Complexity rather than Piaget's. We distinguished the use of existing methods imitated or learned from others, from doing such a task on one's own.

(2008). Genetic Engineering and the Speciation of Superions from Humans. World Futures: Vol. 64, Postformal Thought and Hierarchical Complexity, pp. 436-443.

A sequential, hierarchical stage model of empathy can account for a comprehensive range of empathic behaviors. We provide an illustrative table, “Stages of Empathy,” to demonstrate how increasingly complex empathic behaviors emerge at each stage, beginning with the infant's “automatic empathy” and ending with the advanced adult's “coconstruction of empathetic reality.”.

Review of: Photography after Capitalism, Ben Burbridge (2020) London: Goldsmiths Press, 240 pp., ISBN 978-1-91268-599-8, h/bk, £34.00.

We distinguish traditional cognition theories from hierarchically complex stacked neural networks that meet many of Newell's criteria. The latter are flexible and can learn anything that a person can learn, by using their mistakes and successes the same way humans do. Shortcomings are due largely to limitations of current technology.

The evolution of humans required performing increasingly hierarchically complex tasks within multiple domains. Hierarchical complexity increases task by task. Tasks occur within, and differ by, determinable domains, their stages of performance measurable using the Model of Hierarchical Complexity. How well one performs within single and multiple domains is considered to indicate intelligence. Original task-initiation is more difficult than imitational learning and can create new domains. Levels of support reduce task difficulty, increasing performance. Task-performance may be generalized to other domains. Stages (...) of developing tools and empathy are presented to demonstrate domains' roles in the evolution of human intelligence. (shrink)

(2008). The Connection Between Postformal Thought and Major Scientific Innovations. World Futures: Vol. 64, Postformal Thought and Hierarchical Complexity, pp. 503-512.

Hierarchical complexity's unidimensional measurement can help rectify policy confusion and debates about democratization and terrorism reduction. Stages of political development examined using the method yield task analyses demonstrating why stages cannot be skipped or rushed. Composites of stages and societies' transitions implicate policy change for anti-corruption and nation-building. New indexes for the political domain should be developed using hierarchical complexity to account for and measure a multitude of political tasks regardless of content or context. Measurement offers a reliable, empirical basis (...) to resist attempts to rush development. Hierarchical complexity accounts for why such efforts are doomed in advance to fail. (shrink)