AI RESEARCH
Beyond Isolated Investor: Predicting Startup Success via Roleplay-Based Collective Agents
arXiv CS.AI
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ArXi:2512.22608v3 Announce Type: replace Due to the high value and high failure rates of startups, predicting their success is a critical challenge. Existing approaches typically model startup success from a single decision-maker's perspective, overlooking the collective dynamics that dominate real-world venture capital (VC) decision-making. We propose SimVC-CAS, a collective agent system that simulates VC decisions as a multi-agent interaction process.