Does your dualism lose its flavor on the bedpost overnight?
Unblock your inquiry with a dose of Peirce’s Elixir Triadic❢
Frequently encountered complementarities, dualities, or design trade-offs
- Integrating data-driven (empiricist) and concept-driven (rationalist) modes of inquiry.
- Integrating model-theoretic and proof-theoretic methods for evaluating theories.
- Bridging the gap between qualitative and quantitative research methodologies.
- Relationship between emergent-evolved systems and engineered systems.
- Relationship between descriptive sciences and normative sciences.
Relationship between emergent-evolved systems and engineered systems
I am taking a systems-theoretic view of the inquiry process, but I am focused on the kinds of systems we engineer to a specific purpose, for example, computational support for scientific inference. With that aim in mind the kinds of understanding we gain from connectionist, emergent property, genetic algorithm, or self-organizing systems research typically falls short of telling us how scientific inquiry can manage to work in the frame of time that human beings have at their command.
When we set about engineering artificial systems to augment our natural capacities — the way we build microscopes and telescopes to extend the reach of our eyes — our success in doing that naturally depends on how well we understand the natural system we are trying to extend.
One form of understanding is achieved when we draw on principles embodied in a natural system that are general enough to be embodied in very different artificial systems. That is the method of analogical extension, and it turns on the recognition of an abstract principle that can be shared by otherwise diverse systems.