Egil Diau

I’m rebuilding the cognitive foundation of how we understand humans. Intelligence, society, and power aren’t mysteries—they are structured expressions of cognitive architecture. This is a new theory of human reality—grounded in cognition, tested through simulation. My background spans computer science, economics, and behavioral science. I’m currently based at National Taiwan University.

Research

I'm reconstructing human cognition as a biological extension—demonstrating that core capacities like tool use, cooperation, fairness, and political strategy are not uniquely human, but shared with other primates. This perspective leads us to reexamine intelligence and social cognition, redefining their boundaries through functional and comparative analysis. On this foundation, we propose a new account of society—where economy, finance and social institutions are not cultural constructs, but structured expressions of cognitive architecture.

	Grounding the Human Sciences: A Cross-Species Framework for Experimental Robustness Egil Diau Zenodo, 2025 Biological Cognitive Basis Unified Human Substrate Foundations of Human Societies project page / Zenodo We argue that persistent replication failures in the human sciences reflect a deeper problem: many theoretical constructs do not correspond to coherent, stable cognitive capabilities. We therefore propose a six-domain cross-species framework and workflow for grounding the human sciences in more robust cognitive functions shared across species.
	Rethinking Statistics and Causality: Why Mechanisms Cannot Be Inferred from Projected Data Distributions Egil Diau Zenodo, 2025 Statistic Bayesain Inference Causal Inference project page / Zenodo Persistent failures of statistical and causal inference to match real-world behavior across disciplines reveal a deeper limitation: mechanisms cannot be inferred from projected data alone, because projected data need not preserve the properties of the original structure. The deeper error is to treat mathematical decomposition as mechanistic decomposition, even though these operations remain confined to projected data and are generally non-unique.
	Before Markets: The Cognitive Foundations of Economic Exchange Egil Diau Economic Origins Reciprocity-Based Exchange Cognitive Mechanisms arXiv, 2025 project page / Zenodo Prevailing accounts trace the origins of economic exchange to barter or symbolic trust—a framing that places its roots in uniquely human invention. We overturn this assumption, proposing instead that economic exchange originates in reciprocity: a social behavior shared with other social animals and sustained by three mechanisms—individual-specific memory, reciprocity expectation, and cost–return sensitivity.
	Rethinking Economics: From Classical Assumptions to Cognitive Reality Egil Diau Zenodo, 2025 Economic Foundations Conceptual Reconstruction Real Economic Behavior project page / Zenodo Modern economics inherited its form from eighteenth-century moral philosophy. Yet many of its core ideas—rational agency, self-interest, and equilibrium—were historical inventions, not empirical facts. To address this, we re-examine seven foundational myths and rebuild the field on cognitive and behavioural reality.
	Rethinking Social Cognition Beyond Mindreading Egil Diau Zenodo, 2025 Social Cogniton Relative Position Dynamics Unified Social Foundations project page / Zenodo Humans do not possess a reliable capacity for mindreading. The contrast is striking: Theory of Mind originated in research on chimpanzees, whose social behavior is organized largely around status and power, while human lie detection remains near chance at roughly 54% accuracy. Social cognition is therefore better described as tracking status and navigating power dynamics than as inferring mental states.
	The Achilles’ Heel of Symbolic Inference: The Grounding Problem Egil Diau Zenodo, 2025 Symbolic Mind Symbolic Computation Logic project page / Zenodo Symbolic computation has long been treated as a technical problem. Its deeper failure is grounding: it assumes that the world consists of discrete, jointly realizable conditions, but the world is not structured that way. In open-world settings, information is often unknown, incomplete, or incorrect, making symbolic systems highly likely to break because a single grounding failure can invalidate the entire chain.