For economists, sustainability and environmental valuation are connected in two ways. At the micro level, proper environmental valuation is required if projects are to be approved and rejected consistently with sustainability requirements. This is cost benefit analysis. At the macro level, many take the view that sustainability requires that national income measurement be modified so as to account for environmental damage. Such natural resource accounting is possible only if environmental damage is valued for incorporation into the economic accounts. The paper (...) reviews the techniques that economists have developed for environmental valuation. In regard to cost benefit analysis and sustainability, it is noted that the technique on which most interest focuses, the Contingent Valuation Method, involves the extension of the domain of consumer demand analysis to include the natural environment. Contributions questioning the appropriateness of this are reviewed, and it is argued that they merit more attention from economists than they have received to date. In regard to natural resource accounting, it is argued that while there is little prospect of it achieving what its proponents claim for it, the modelling that it necessarily implies has the potential to both clarify valuation issues and play an important role in informing the policy process. (shrink)

The Model of Hierarchical Complexity is introduced in terms of its main concepts, background, and applications. As a general, quantitative behavioral developmental theory, the Model enables examination of universal patterns of evolution and development. Behavioral tasks are definable and their organization of information in increasingly greater hierarchical, or vertical, complexity is measurable. Fifteen orders of hierarchical complexity account for task performances across domains, ranging from those of machines to creative geniuses. The four most complex orders are demonstrated by postformal stages (...) of thought, which measure beyond formal operations, the highest stage found by Piaget for adults. (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.

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.”.

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

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.

How is cultural progress possible? Historically, no other animal has progressed as humans have. Conventional wisdom suggests that by having language, people accumulate knowledge, which produces progress. Such Formal stage 10 wisdom begs fundamental questions. Thus, we assert the cultural necessity of levels of support, or scaffolding, for people to develop higher stages of hierarchical complexity. The resulting, wider accessibility to higher-stage action and knowledge, which requires higher stages of development to understand, enables social and scientific progress. With memes and (...) downward assimilation, larger proportions of society gain access to advanced thinking with support, in turn enabling cultural progress. (shrink)

(2008). Editors' Introduction to the Special Issue on Postformal Thought and Hierarchical Complexity. World Futures: Vol. 64, Postformal Thought and Hierarchical Complexity, pp. 297-304.

Using ideas from evolution and postformal stages of hierarchical complexity, a hypothetical scenario, premised on genetic engineering advances, portrays the development of a new humanoid species, Superions. How would Superions impact and treat current humans? If the Superion scenario came to pass, it would be the ultimate genocidal terrorism of eliminating an entire species, Homo Sapiens. We speculate about defenses Homo Sapiens might mount. The tasks to relate two species (systems) constitutes a postformal, Metasystematic task. Developing a system of discourse (...) to prevent destruction requires postformal Paradigmatic-stage tasks. Implications are twofold: species survival and sufficient evolution to survive. (shrink)

The institutionalization of systems of informed consent in market economies has exaggerated rather than minimized the meritocractic effect of such economies. In developing economies, it may help reduce both inherent economic gaps and effects of inherited wealth. In both cases, the highest paid people are those whose performances evidence the highest hierarchical complexity, and lowest paid people have the lowest stages of performance. Society is stratified according to stage of performance. Postformal thought is more likely to develop in graduate level (...) education. Higher education has the effect of further stratifying individuals by stage of performance, rather than equalizing opportunity. (shrink)

The formal theory of the Model of Hierarchical Complexity is presented. Complexity theories generally exclude the concept of hierarchical complexity; Developmental Psychology has included it for over 20 years. It also applies to social systems and non-human systems. Formal axioms for the Model are outlined. The model assigns an order of hierarchical complexity to every task, using natural numbers, establishing a quantal notion of stage and stages of performance. This formalizes properties of stage theories in psychology. The formal theory of (...) the model enables extending the concept of hierarchical complexity to any field where tasks and their performances exist. (shrink)

Selectionism addresses the process of transition or change. In its evolution, Homo Sapiens has demonstrated such transitions to more hierarchically complex stages of performance at the individual, organizational, cultural, and biological levels. Traditionally, changes in biological, cultural, organizational, and individual behavior have been studied separately, with very little overlap. The current theory integrates selectionism across these realms, while noting that in each, selectionism operates through somewhat different mechanisms. Selectionism is comprised of complex processes in which tasks of greater hierarchical complexity (...) may be selected. Increased stages of performance underlie evolution's dynamics of increased complexity. (shrink)

The missing ingredients in efforts to develop neural networks and artificial intelligence (AI) that can emulate human intelligence have been the evolutionary processes of performing tasks at increased orders of hierarchical complexity. Stacked neural networks based on the Model of Hierarchical Complexity could emulate evolution's actual learning processes and behavioral reinforcement. Theoretically, this should result in stability and reduce certain programming demands. The eventual success of such methods begs questions of humans' survival in the face of androids of superior intelligence (...) and physical composition. These raise future moral questions worthy of speculation. (shrink)

Science requires postformal capabilities to compare competing explanations and conceptualize how to coordinate or integrate them. With conflicts thus reconciled, science advances. The Model of Hierarchical Complexity facilitates the coordination of current arguments about intelligence. A cross-species measurement theory of comparative cognition is proposed. It has potential to overcome the lack of a general measurement theory for the science of comparative cognition, and the lack of domain-general mechanisms for evolutionary psychologists. The hierarchical complexity of concepts and debates as well as (...) the new theory are scored, and demonstrate the postformal hierarchical complexity of the proposed theory. (shrink)

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

Evolution means different things at different stages of development. Higher stage explanations for it are downward assimilated at lower stages. Different scientific explanations for evolution also reflect different stages of development. Hierarchical complexity of tasks in evolution is a behavioral analytic explanation. It is selection processes of various kinds in tandem with changes in selection tasks' orders of hierarchical complexity. There is neither teleology nor evolutionary favoring of the highest stages of performance. Selection tasks at higher orders of complexity increasingly (...) decenter at all scales of behaviors from thought to history's social periods. These processes account for sociopolitical conflicts over evolution. (shrink)

The four stages of postformal thought are Systematic, Metasystematic, Paradigmatic, and Cross-Paradigmatic. Each successive stage is more hierarchically complex than the one that precedes it. Each stage uses the elements formed at the previous stage to construct more hierarchically complex elements (e.g., metasystems, paradigms). An actual instrument constructed using the Model of Hierarchical Complexity illustrates the progression in hierarchical complexity. Another example illustrates the nonlinear nature of hierarchical complexity. The distinct tasks of the four stages are described. Postformal thought benefits (...) interpersonal, societal, and academic endeavors by virtue of the kinds of tasks performed at each stage. (shrink)

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

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)

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)