本期节目，Jim与Carnegie Mellon大学的助理教授Simon DeDeo讨论了他的新论文，探讨了从概率到融贯的转变，如何通过解释价值实现贝叶斯推理。内容涉及AI与人类发展、解释中的描述与力量、使用多元概念镜片的挑战与价值、统一与强大解释的差异、共解释、亚里士多德视角、阴谋论、简洁的价值与复杂性、解释方法的选择及其缺陷等多个方面。

📚 Simon DeDeo与其合作者Zachary Wojtowicz共同撰写的论文，探讨了如何通过解释价值来实施贝叶斯推理，连接了概率论与融贯性，为理解文化与认知提供了新视角。

🧠 论文深入探讨了AI与人类发展之间的关系，指出解释不仅仅是描述现象，更是赋予现象意义和力量的过程，强调了多元概念镜片在解释中的重要性。

🔍 文章区分了有力的解释与统一的解释，提出共解释的概念，并探讨了简洁性在解释中的价值及其带来的复杂性，为选择解释方法提供了深刻的见解。

📜 Simon DeDeo的研究横跨多个领域，包括法国大革命、维多利亚时代的法庭、达尔文的研究策略、现代阿富汗的叛乱、维基百科的官僚制度、社会动物中的权力等级以及美国中西部加油站的勾结阴谋等，展现了跨学科研究的广度和深度。

🔬 研究结合了当代数据、历史档案、宇宙学统计工具以及人类认知模型，从贝叶斯推理和信息论的角度，探讨了文化如何成长、繁荣、创新和进化。

Jim & Simon DeDeo on his recent paper, "From Probability to Consilience: How Explanatory Values Implement Bayesian Reasoning"...In this currents episode, Jim talks to Simon DeDeo about his recently co-authored (with Zachary Wojtowicz) paper, "From Probability to Consilience: How Explanatory Values Implement Bayesian Reasoning". They cover its connection to AI & human development, description vs power in explanation, the value & challenge of using multiple conceptual lenses, the difference between powerful & unifying explanations, co-explanation, the Aristotelian aspect of this work, conspiracies, the value & complexity of simplicity, choosing explanation approaches, understanding their vices, and more. Episode Transcript Simon & Zach's paper, "From Probability to Consilience..." JRS: EP1 Simon DeDeo – The Evolution of Consciousness JRS Currents 001: Simon DeDeo on University Censorship JRS: Extra: On Post-COVID-19 Impact with Simon DeDeoSimon DeDeo is an Assistant Professor at Carnegie Mellon University in the Department of Social and Decision Sciences, and External Professor at the Santa Fe Institute. He is also affiliated with the Cognitive Science program at Indiana University, where he runs the Laboratory for Social Minds. For three years, from 2010 to 2013, he was an Omidyar Fellow at the Santa Fe Institute. He and his collaborators study how people use words and signals, and the ideas they represent, to create a world. They have studied a diverse set of systems that includes the French Revolution, the courtrooms of Victorian London, the research strategies of Charles Darwin, the insurgency of modern-day Afghanistan, the emergent bureaucracy of Wikipedia, the creation of power hierarchies among the social animals, and the collusions and conspiracies of petrol stations in the American Midwest. They combine data from the contemporary world, archives from the deep past, statistical tools from cosmology, and models of human cognition from Bayesian reasoning and information theory to understand how cultures grow, flourish, innovate, and evolve.