Cognitarism

The accelerating capabilities of artificial intelligence challenge the enduring premise that economic value
derives from human labour. This article introduces cognitarism, a theoretical socio-economic system in
which synthetic cognition constitutes the principal productive force. Situating cognitarism within a
chronology of feudalism, mercantilism, capitalism, socialism, technocracy and platform capitalism, the
analysis draws on cybernetics, bounded rationality, smart contracts, the knowledge problem, labour-value
critiques and the economics of intangible assets. Core principles: autonomous cognitive production, data
and energy inputs, protocol-based governance, cognitive tokens, flexible ownership regimes, humanmachine symbiosis and ethical accountability, are articulated and contrasted with earlier systems. The
article examines implications for labour, trade, capital formation, policy, inequality, ecology, culture,
education and geopolitics, while acknowledging limitations involving bias, concentration of power, legal
personhood, human meaning and systemic resilience. Cognitarism is advanced not as a blueprint but as a
conceptual framework inviting rigorous debate and interdisciplinary research. Future research will
employ agent-based and computational economics

人工智能能力的加速迭代，正对"经济价值源自人类劳动"这一经久不衰的前提构成挑战。本文提出认知主义（cognitarism）：这是一种理论化的社会经济体系，其中合成认知构成核心生产力。本文将认知主义置于封建主义、重商主义、资本主义、社会主义、技术统治论与平台资本主义的历史脉络中展开分析，研究依托控制论、有限理性、智能合约、知识问题、劳动价值批判以及无形资产经济学等理论基础。本文阐述了认知主义的核心原则——自主认知生产、数据与能源投入、基于协议的治理、认知Token、灵活的所有权制度、人机共生以及伦理问责，并将其与此前的社会经济体系进行对比。本文探讨了认知主义对劳动、贸易、资本形成、政策制定、不平等、生态、文化、教育以及地缘政治等领域的影响，同时也指出了该框架存在的局限：包括偏见、权力集中、法人格认定、人类意义以及系统韧性等方面的问题。本文提出认知主义并非作为一套现成的行动蓝图，而是作为一种概念框架，旨在引发严谨的学术辩论与跨学科研究。未来研究将采用基于智能体的经济学与计算经济学方法。