공대생 도전 일지

https://www.riss.kr/search/detail/DetailView.do?p_mat_type=be54d9b8bc7cdb09&control_no=abbf7a1b5e724473ffe0bdc3ef48d419&outLink=K https://www.riss.kr/search/detail/DetailView.do?control_no=abbf7a1b5e724473ffe0bdc3ef48d419&outLink=K&p_mat_type=be54d9b8bc7cdb09 www.riss.kr 이 논문은 협상 성과에 영향을 미치는 구체적인 기술을 체계적으로 분석하며, 협상은 철저한 준비와 전략 수립, 논리적 설득, 감정 관리로 구성된 복합적인 과정임을 강조한다.협상 기술은 사전 정보 수집, 문화적 이해, 신뢰 구축을..

협상에 관한 AI Agent를 작성해야 하기에 협상에 대한 논문도 한번 읽어봤습니다.https://www.riss.kr/search/detail/DetailView.do?p_mat_type=be54d9b8bc7cdb09&control_no=f5e64dcb32ed9472ffe0bdc3ef48d419&outLink=K https://www.riss.kr/search/detail/DetailView.do?control_no=f5e64dcb32ed9472ffe0bdc3ef48d419&outLink=K&p_mat_type=be54d9b8bc7cdb09 www.riss.kr 이 연구는 협상 전술과 정보교환 방식이 협상 성과에 미치는 영향을 분석하며, 특히 한국적 협상 스타일의 특성을 규명했습니다.협상에서 전통적 경..

https://arxiv.org/abs/2405.16751 LLM-Based Cooperative Agents using Information Relevance and Plan ValidationWe address the challenge of multi-agent cooperation, where agents achieve a common goal by interacting with a 3D scene and cooperating with decentralized agents under complex partial observations. This involves managing communication costs and optimizing iarxiv.org 여기선 동적으로 변화하는 환경에서 LLM이..

https://arxiv.org/abs/2305.10142 Improving Language Model Negotiation with Self-Play and In-Context Learning from AI FeedbackWe study whether multiple large language models (LLMs) can autonomously improve each other in a negotiation game by playing, reflecting, and criticizing. We are interested in this question because if LLMs were able to improve each other, it would imply thearxiv.org 음 여기선 이..

https://arxiv.org/abs/2308.08155 AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent ConversationAutoGen is an open-source framework that allows developers to build LLM applications via multiple agents that can converse with each other to accomplish tasks. AutoGen agents are customizable, conversable, and can operate in various modes that employ combiarxiv.org 이건 아래 논문과 엄청 비슷한 느낌이네요2024...

https://arxiv.org/abs/1706.05125 Deal or No Deal? End-to-End Learning for Negotiation DialoguesMuch of human dialogue occurs in semi-cooperative settings, where agents with different goals attempt to agree on common decisions. Negotiations require complex communication and reasoning skills, but success is easy to measure, making this an interestingarxiv.org 아직 Transformer 구조도 없어 RNN기반의 GRU 모델을 통..

https://arxiv.org/abs/2412.04139 Monet: Mixture of Monosemantic Experts for TransformersUnderstanding the internal computations of large language models (LLMs) is crucial for aligning them with human values and preventing undesirable behaviors like toxic content generation. However, mechanistic interpretability is hindered by polysemanticityarxiv.org 처음에는 단순 MOE에 SAE를 붙인 줄 알았는데 MOE를 최대한 발전시켜 추가 ..

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4828339 The Advent of the AI Negotiator: Negotiation Dynamics in the Age of Smart AlgorithmsThe Advent of the AI Negotiator: Negotiation Dynamics in the Age of Smart Algorithms 26 Pages Posted: 15 May 2024 Date Written: May 15, 2024 Abstract Artificial Intelligence (AI) applications are increasingly used in negotiations. In this essay, I invest..

https://www.nber.org/papers/w32685 Demand for Artificial Intelligence in Settlement NegotiationsJoshua Gans has drawn on the findings of his research for both compensated speaking engagements and consulting engagements. He has written the books Prediction Machines, Power & Prediction, and Innovation + Equality on the economics of AI for which he recewww.nber.org엥 제가 생각했던 논문이랑은 좀 다른 방향의 논문이었네요협상 ..

https://www.nature.com/articles/s41467-022-34473-5 저는 자연어를 통한 협상을 기대했드만 그냥 강화학습 이네요제한된 액션 공간에서 Agent끼리 서로 협상하고, 협상 내용에 대해 자신에게 가장 유리한 결과를 가져오는 협상을 진행하는 그런 내용이었습니다.학습은 강화학습을 통해 진행되었고요 그래도 협약을 깰 수 있는 존재를 만들어 보고, 그런 존재가 계속 이기다보니 새로운 역할을 하는 존재가 등장하며 협약을 깰 수 있는 존재가 결과적으로 이긴다고 해도, 대부분의 협약을 지키면서 게임을 진행하는 것이 인상적이긴 하네요  논문 제목Negotiation and Honesty in Artificial Intelligence Methods for the Board Game of..