Intelligence Redefined
Year: 2025
Type: article
Abstract: Humanity has never produced a unified definition of intelligence, creating a fragmented landscape of IQ tests, g factors, multiple intelligences, street smarts, intuition, emotional intelligence, and dozens of competing frameworks—each capturing something real. Yet, none providing a complete, satisfying picture. What’s up with intelligence? Nothing else in science behaves this way, so let’s figure it out. Working from the hypothesis that all existing definitions represent fragments of a larger truth, I developed a comprehensive framework that connects every theory under a single principle: scaling intelligence, defined as an agent’s capacity to engage with and change its environment while controlling for scaling potential. To test this framework, I analyzed the Animal Kingdom dataset—a comprehensive collection of video-coded behavioral assessments spanning 850+ species across all major animal classes. I scored 456 behaviors based on their environmental engagement and influence, then calculated intelligence scores to examine the presence and extent of intelligence across the animal kingdom. The analysis revealed the complete metabolic and evolutionary trajectory of intelligence across the animal classes, with scaling intelligence explaining an astonishing 20% of behavioral variance across all 850+ species. Biologists, zoologists, and ecologists have long attempted to explain a missing 20-25% in animal behaviors that has always been a mystery; this paper provides the answer and finally shows that human intelligence in the universe is not the exception, it is the rule; now… we are finally smart enough to see it.
Author: Stone, Bryant
Language: English
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6949835719
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