论文标题
建立新的社会选择理论
Towards a new Social Choice Theory
论文作者
论文摘要
社会选择是关于从个人意见，偏好，利益或福利开始的社会福利的集体决定的理论。计算社会福利领域有些近来，它正在对人工智能界产生影响。古典文献使单峰偏好的假设，即，偏好中存在顺序，并且该顺序有全局最大值。今年，一些理论上的结果发表了有关两阶段批准投票系统（TAV），多赢家选择规则（MWSR）和不完整（IPS）和循环偏好（CPS）。本文的目的是三个方面：首先，我想将社会选择优化作为对TAV的概括，在那里有最大阶段和最小阶段实施，因此是最小的，众所周知的人工智能决策规则，以最大程度地减少对（社会）目标的阻碍。其次，我想介绍我的公开标准化和公开整合理论（在改进过程中）在我的论文《社会包容性的开放标准化》中，作为社会选择优化的全球社会目标。
Social choice is the theory about collective decision towards social welfare starting from individual opinions, preferences, interests or welfare. The field of Computational Social Welfare is somewhat recent and it is gaining impact in the Artificial Intelligence Community. Classical literature makes the assumption of single-peaked preferences, i.e. there exist a order in the preferences and there is a global maximum in this order. This year some theoretical results were published about Two-stage Approval Voting Systems (TAVs), Multi-winner Selection Rules (MWSR) and Incomplete (IPs) and Circular Preferences (CPs). The purpose of this paper is three-fold: Firstly, I want to introduced Social Choice Optimisation as a generalisation of TAVs where there is a max stage and a min stage implementing thus a Minimax, well-known Artificial Intelligence decision-making rule to minimize hindering towards a (Social) Goal. Secondly, I want to introduce, following my Open Standardization and Open Integration Theory (in refinement process) put in practice in my dissertation, the Open Standardization of Social Inclusion, as a global social goal of Social Choice Optimization.
