Self-Organizing Natural Intelligence brings new scientific methods to intelligence research that is currently under the influence of largely classical 19th century single causal theory and method. This out-dated classical approach has resulted in the single-capacity g-theory, a central processor, top-down, genetically determined linguistic view of intelligence that is directly contradicted by empirical facts of human and animal studies of intelligence.This book proposes, utilizes, and demonstrates the research superiority of a highly developed multidisciplinary theory models approach to intelligence. With conceptual tools, concepts and mathematical methods more suited to continuous, dynamic phenomena of living things, the entire scope of natural intelligence based upon empirical studies of actual human and animal experience is addressed...

This book brings new scientific methods to intelligence research that is still under the influence of 19th century single causal theory and method. The author describes a rigorous and exhaustive classification of natural intelligence while demonstrating a more adequate scientific and mathematical approach than current statistical and psychometric approaches construct to shore up the out-dated and misused IQ hypothetical. The author demonstrates the superiority of a highly developed multidisciplinary-theory models view of intelligence.