Online research in philosophy

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)

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)

Successful applications of hierarchical complexity to the behaviors of organisms, animals and humans, and social entities evidence the scaling properties of self-similarity, thus the bounded fractal characteristics of orders of hierarchical complexity. The theory specifies an identical sequence of discrete-state transition steps required from each stage of performance to the next. It repeats at all scales. Tasks nested within the step sequence evidence self-similarity with the orders of complexity. This model introduces questions about noise categories when system tasks are fully (...) accounted for, dependent, self-similar, and measurable. Ubiquitous transition steps are inherent dynamics of evolution. (shrink)

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)