Biologyarticle2026-09-08

There Is No Cognitive Ladder - A Structural Method for Comparing Evolutionary Minds

Open access0 citations

Abstract

Comparative cognition is often organized around ranked capacities: more memory, more planning, more social cognition, greater flexibility, or a larger behavioral repertoire. Such descriptions are useful locally, but they invite an ordering problem: very different organisms are placed on a single ladder even when the relevant dimensions do not nest. This paper proposes a different comparison method. Starting from determinate identity under real transformation, it treats evolutionary novelty as change in a structured difference architecture rather than accumulation of named faculties. For a fixed identity architecture, three non-equivalent comparison projections are used: D, the structured domain of admissible real differences and their real internal relations; R, the complete unary structural determination profile of each admitted difference; and I, the determination carried by real relations among admitted differences beyond a predeclared independent or non-relational comparison class. The method does not rank organisms by a universal scalar. It permits expansion, contraction, specialization, reconfiguration, redistribution, and genuine incomparability. Eight empirical studies from comparative sensory and cognitive research are used as adversarial realization tests rather than as premises of the derivation. The result is a practical method for asking when two species instantiate corresponding contrasts but differ in what those contrasts determine, how they persist across time and context, or whether relations among them carry additional determination. The central claim is methodological: evolutionary cognition should be compared by structural architecture, not ranked by accumulated capacities. CORE CLAIM. Equal performance labels do not imply equal cognitive architecture, and greater behavioral complexity does not imply a higher position on a universal cognitive scale.

// Source

View paper (DOI)Open access versionOpenAlexZenodo (CERN European Organization for Nuclear Research)Published 2026-09-08

Authors: Marc Maibom