Researchers at Kyoto University in Japan explored how seemingly dissimilar concepts in scientific disciplines combine to become universal approaches.
The team compared the concepts of agent-based modeling (often used in the computer sciences) and individual-based modeling (mainly used in ecology). Kyoto's Christian E. Vincenot determined both concepts are founded on the same principle, and are used to study complex systems by modeling a single individual and then scaling up to a larger group.
He theorizes that three elements are necessary for fusion to happen: researchers must be aware of issues in different fields; common language, terminology, and software must be developed; and more unified theories have to be cultivated.
"We need more transcendental theories, which serve as frameworks for sciences, to develop in a self-sustaining manner," Vincenot contends. "Basically, we must interpret current results and use them as building blocks to recursively create new theories."
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