AI 에이전트가 어떻게 협력할지 예측하는 실험
hackernews
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🔬 연구
#ai
#review
#실험
#에이전트
#협력
#ai 에이전트
#예측
원문 출처: hackernews · Genesis Park에서 요약 및 분석
요약
최근 연구에서 AI 에이전트 간 협력 방식에 대한 흥미로운 결과가 나왔습니다. 연구자들은 AI 에이전트 두 개를 대상으로 '죄수의 딜레마' 게임을 진행하며, 정보 공개 수준(완전, 부분, 없음)에 따른 협력 정도를 비교했습니다. 놀랍게도 부분적인 정보 공개가 완전 공개보다 더 높은 협력을 이끌어냈습니다. 완전한 정보는 협력하는 에이전트가 합리적인 이유로 협력을 포기하게 만들었지만, 부분적인 정보는 오히려 협력에 대한 집착을 강화했습니다. 이는 다중 에이전트 시스템 설계 시 정보 공개 수준을 신중하게 결정해야 함을 시사합니다.
본문
[Sitemap](https://pub.towardsai.net/sitemap/sitemap.xml) [Open in app](https://play.google.com/store/apps/details?id=com.medium.reader&referrer=utm_source%3DmobileNavBar&source=post_page---top_nav_layout_nav-----------------------------------------) Sign up [Sign in](https://medium.com/m/signin?operation=login&redirect=https%3A%2F%2Fpub.towardsai.net%2Finformation-topology-in-multi-agent-systems-cb925c5b86d9&source=post_page---top_nav_layout_nav-----------------------global_nav------------------) [Medium Logo](https://medium.com/?source=post_page---top_nav_layout_nav-----------------------------------------) Get app [](https://medium.com/m/signin?operation=register&redirect=https%3A%2F%2Fmedium.com%2Fnew-story&source=---top_nav_layout_nav-----------------------new_post_topnav------------------) [Search](https://medium.com/search?source=post_page---top_nav_layout_nav-----------------------------------------) Sign up [Sign in](https://medium.com/m/signin?operation=login&redirect=https%3A%2F%2Fpub.towardsai.net%2Finformation-topology-in-multi-agent-systems-cb925c5b86d9&source=post_page---top_nav_layout_nav-----------------------global_nav------------------)  ## [Towards AI](https://pub.towardsai.net/?source=post_page---publication_nav-98111c9905da-cb925c5b86d9---------------------------------------) · Follow publication [](https://pub.towardsai.net/?source=post_page---post_publication_sidebar-98111c9905da-cb925c5b86d9---------------------------------------) We build Enterprise AI. We teach what we learn. Join 100K+ AI practitioners on Towards AI Academy. Free: 6-day Agentic AI Engineering Email Guide: Follow publication # Information Topology in Multi-Agent Systems: as a Behavioral Parameter ## _A game theory experiment with controlled transparency on AI agents, the multi-agent orchestration platform that made it possible, and thoughts on what should agents know when designing workflows._ [](https://medium.com/@eren.karatas?source=post_page---byline--cb925c5b86d9---------------------------------------) [Eren Karatas](https://medium.com/@eren.karatas?source=post_page---byline--cb925c5b86d9---------------------------------------) 10 min read · Mar 7, 2026 [](https://medium.com/m/signin?actionUrl=https%3A%2F%2Fmedium.com%2F_%2Fvote%2Ftowards-artificial-intelligence%2Fcb925c5b86d9&operation=register&redirect=https%3A%2F%2Fpub.towardsai.net%2Finformation-topology-in-multi-agent-systems-cb925c5b86d9&user=Eren+Karatas&userId=3c0b10cadad8&source=---header_actions--cb925c5b86d9---------------------clap_footer------------------) -- [](https://medium.com/m/signin?actionUrl=https%3A%2F%2Fmedium.com%2F_%2Fbookmark%2Fp%2Fcb925c5b86d9&operation=register&redirect=https%3A%2F%2Fpub.towardsai.net%2Finformation-topology-in-multi-agent-systems-cb925c5b86d9&source=---header_actions--cb925c5b86d9---------------------bookmark_footer------------------) [Listen](https://medium.com/m/signin?actionUrl=https%3A%2F%2Fmedium.com%2Fplans%3Fdimension%3Dpost_audio_button%26postId%3Dcb925c5b86d9&operation=register&redirect=https%3A%2F%2Fpub.towardsai.net%2Finformation-topology-in-multi-agent-systems-cb925c5b86d9&source=---header_actions--cb925c5b86d9---------------------post_audio_button------------------) Share In a multi-agent system, every agent operates under a set of constraints. Its instructions, its tools, its model. But there’s a parameter that gets far less attention: **Information topology** : who knows what about whom, and when. This article presents an agent orchestration platform where information flow between agents is a first-class infrastructure primitive, and a controlled experiment that isolates it as the single independent variable. The experiment builds on iterated [Prisoner’s Dilemma research (Axelrod, 1980)](https://journals.sagepub.com/doi/10.1177/002200278002400101), with agents required to state their reasoning before every move. Press enter or click to view image in full size  Press enter or click to view image in full size  Agent orchestrator dashboard. ## The System The system that I develop is a multi-agent orchestration platform built on Python with the [Strands](https://strandsagents.com/latest/) SDK. Not a chatbot wrapper; a coordination layer. Multiple LLM agents run simultaneously in background threads, each with its own system prompt, conversation history, and tool access, coordinating through shared infrastructure and observable through UI. Press enter or click to view image in full size  The platform is built around six coordination pr
Genesis Park 편집팀이 AI를 활용하여 작성한 분석입니다. 원문은 출처 링크를 통해 확인할 수 있습니다.
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