联合求变：为改变现状的协商式联盟形成
United for Change: Deliberative Coalition Formation to Change the Status Quo
AI总结：
该研究针对社群从备选方案中选出强支持提案以改变现状的问题，提出智能体动态组建联盟的协商流程，明确了保证协商成功选出最大支持提案的条件，为民主协商在线系统等的协商流程分析提供理论基础。
摘要：
我们研究这样一种场景：某个社群希望从备选方案空间中找出一个获得强力支持的提案，以改变现状。我们提出了一种协商流程，其中智能体围绕那些它们认为优于现状的提案动态组建联盟。我们明确了提案空间及联盟组建方式所需满足的条件，这些条件可保证协商取得成功，即最终能选出一个获得最大可能支持度的提案并终止流程。我们的研究结果为分析各类协商流程（例如在支持民主协商的在线系统中开展的协商流程）提供了理论基础。
英文摘要：
We study a setting in which a community wishes to identify a strongly supported proposal from a space of alternatives, in order to change the status quo. We describe a deliberation process in which agents dynamically form coalitions around proposals that they prefer over the status quo. We formulate conditions on the space of proposals and on the ways in which coalitions are formed that guarantee deliberation to succeed, that is, to terminate by identifying a proposal with the largest possible support. Our results provide theoretical foundations for the analysis of deliberative processes such as the ones that take place in online systems for democratic deliberation support.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
