# Social Simulation İlgili Makaleler

HTX Haber Merkezi, kripto endüstrisindeki piyasa trendleri, proje güncellemeleri, teknoloji gelişmeleri ve düzenleyici politikaları kapsayan "Social Simulation" hakkında en son makaleleri ve derinlemesine analizleri sunmaktadır.

The Once-Niche Field of Philosophy Becomes a Hot Topic in "Governing" AI

"Cold" Philosophy Becomes Hot in Taming AI This article explores the rising prominence of philosophical inquiry at the World Artificial Intelligence Conference (WAIC), highlighting a shift from purely technical discussions to deeper questions about AI's nature and impact. A key theme is the foundational question of intelligence itself. Philosopher Sun Ning argued that true, grounded intelligence requires embodiment, environment, interaction with others, and historical context, summarized as "Before intelligence, there is a world. Before mind, there is relationship." The forum then examined AI's expanding role in science. Researchers presented AI systems that can autonomously generate scientific papers and mathematical proofs, raising critical questions about evaluation, attribution of discovery, and potential misuse. The proposed solution is a collaborative framework: AI expands the search space, humans define value and provide rigorous constraints, and machines handle verification. As AI models begin to simulate human societies and behaviors for research, new risks emerge. Simulations can inherit and amplify societal biases from their training data, and their outputs risk being mistaken for genuine social signals. This necessitates robust governance focused on auditability, bias correction, and clear human oversight—ensuring people retain intervention, correction, and explanation rights ("human-in-the-loop"). The discussion extended to industry, where AI integrates with wet labs for bio-manufacturing. Here, challenges involve bridging the digital-physical gap and adapting regulatory and business models from process-based to outcome-based partnerships, fundamentally altering production relationships. The convergence of philosophers, scientists, and entrepreneurs at WAIC signals a broader trend: as AI permeates knowledge creation and social systems, technical progress is increasingly intertwined with urgent questions of ethics, governance, economic distribution, and public policy. The core challenge becomes not just what AI *can* do, but what we *should* ask it, trust from it, and guide it towards.

marsbit07/20 01:18

The Once-Niche Field of Philosophy Becomes a Hot Topic in "Governing" AI

marsbit07/20 01:18

Is Polymarket's Pricing Wrong? 200 AI Agent Simulation of Crisis Yields Unexpected Answer

An experiment used MiroFish, an open-source multi-agent simulation platform, to model the geopolitical crisis in the Strait of Hormuz and compare the results with Polymarket's prediction market. The system generated 200 AI agents—including government officials, media, energy firms, financial traders, and civilians—and simulated 7 days of social media interaction (Twitter-like environment) based on a 5,800-character background brief. Key findings: - Organic, free-form discussions among agents produced an average probability of 47.9% for the strait reopening by April 2026, significantly higher than Polymarket's market-derived probability of 31%. - When agents were individually questioned in a formal "interview" setting, they converged to overly optimistic responses (60–75% across categories), reflecting a cooperation bias. - The most accurate predictions came from a minority of pessimistic agents (e.g., Iranian officials, financial analysts, academics) who organically expressed probabilities near 22%—aligning closely with market pricing. - The simulation revealed a structural divide: public/official statements tend toward optimism, while genuine risk assessments emerge from unstructured, adversarial discourse. The study suggests that natural interaction among specialized agents can generate valuable signals, but LLM bias and limited context remain constraints. Future work will expand data scope, use stronger models, and increase agent diversity.

marsbit03/18 06:16

Is Polymarket's Pricing Wrong? 200 AI Agent Simulation of Crisis Yields Unexpected Answer

marsbit03/18 06:16

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