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New Analysis Gives Geometry an Evolutionary Shape - Printable Version +- MKLab (https://mklab.gr) +-- Forum: [INDEX] (https://mklab.gr/forumdisplay.php?fid=1) +--- Forum: MATHEMATICS (https://mklab.gr/forumdisplay.php?fid=3) +---- Forum: ARTICLES (https://mklab.gr/forumdisplay.php?fid=13) +----- Forum: GEOMETRY (https://mklab.gr/forumdisplay.php?fid=150) +----- Thread: New Analysis Gives Geometry an Evolutionary Shape (/showthread.php?tid=2188) |
New Analysis Gives Geometry an Evolutionary Shape - mklabgr - 09-25-2026 A new analysis by NYU psychology professor Moira Dillon proposes that the foundations of human geometric thinking may be much older and more evolutionarily widespread than traditionally assumed. Rather than originating from a uniquely human, innate “geometry module,” our basic geometric abilities may have developed from cognitive systems used for navigation and spatial reasoning. Research involving humans and animals—including rats, chickens, and fish—shows that non-human animals can represent distance, direction, location, and spatial relationships without formal knowledge of geometry. The proposal, called the “Wanderers Hypothesis for Geometry,” challenges theories that place Euclidean concepts such as parallelism and perpendicularity directly into the human mind from birth. According to Dillon's analysis, navigation provides a more fundamental form of geometry: organisms construct approximate representations of space that allow them to move efficiently and plan routes. This geometry does not reproduce Euclidean mathematics exactly, but it captures enough spatial structure to support practical reasoning about position, distance, direction, and shape. The distinctive human contribution, according to Dillon, may therefore be language rather than a specialized mathematical faculty. Animals can use spatial representations to navigate, while humans can describe, manipulate, and recombine those representations symbolically. Language effectively allows humans to “wander” mentally without physically moving, transforming navigation-based spatial cognition into more abstract reasoning. This could help explain how humans progress from practical spatial experience to formal concepts such as geometric figures, relations, proofs, and mathematical problem-solving. The analysis brings together evidence from developmental psychology, comparative cognition, cross-cultural studies of geometry learning, animal navigation, and artificial intelligence—including systems such as Google DeepMind's AlphaGeometry. It suggests an evolutionary pathway from embodied spatial behavior to increasingly abstract mathematical thought: navigation provides primitive geometric representations, human cognition reorganizes them, and language enables symbolic manipulation. The paper, “The cognitive origins of geometry,” was published in Trends in Cognitive Sciences on April 6, 2026, and is a peer-reviewed publication. Key takeaways
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