From human teams to hybrid intelligence teams: identifying, characterizing, and evaluating foundational quality attributes [0.03%]
从人类团队到混合智能团队：识别、表征和评估基础质量属性
Davide Dell&#x;Anna,Pradeep K Murukannaiah,Mireia Yurrita et al.
Davide Dell&#x;Anna et al.
Hybrid Intelligence (HI) is an emerging paradigm in which artificial intelligence (AI) augments human intelligence. The current literature lacks systematic models that guide the design and evaluation of HI systems. Further, discussions arou...
Mohamad Latifian,Alexandros A Voudouris
Mohamad Latifian
We study matching settings in which a set of agents have private utilities over a set of items. Each agent reports a partition of the items into approval sets of different threshold utility levels. Given this limited information on input, t...
On the graph theory of majority illusions: theoretical results and computational experiments [0.03%]
论多数幻觉的图论：理论结果与计算实验
Maaike Venema-Los,Zoé Christoff,Davide Grossi
Maaike Venema-Los
The popularity of an opinion in one's direct circles is not necessarily a good indicator of its popularity in one's entire community. Network structures make local information about global properties of the group potentially inaccurate, and...
Epistemic selection of costly alternatives: the case of participatory budgeting [0.03%]
基于认知的选择机制：参与预算制的案例分析
Simon Rey,Ulle Endriss
Simon Rey
We initiate the study of voting rules for participatory budgeting using the so-called epistemic approach, where one interprets votes as noisy reflections of some ground truth regarding the objectively best set of projects to fund. Using thi...
Assimilating human feedback from autonomous vehicle interaction in reinforcement learning models [0.03%]
基于强化学习模型的自动驾驶车辆互动中的融入人类反馈
Richard Fox,Elliot A Ludvig
Richard Fox
A significant challenge for real-world automated vehicles (AVs) is their interaction with human pedestrians. This paper develops a methodology to directly elicit the AV behaviour pedestrians find suitable by collecting quantitative data tha...
Ability and knowledge: from epistemic transition systems to labelled stit models [0.03%]
能力与知识：从表征知识变迁的时序系统到STIT模态逻辑模型的研究
Alexandra Kuncová,Jan Broersen,Hein Duijf et al.
Alexandra Kuncová et al.
It is possible to know that one can guarantee a certain result and yet not know how to guarantee it. In such cases one has the ability to guarantee something in a causal sense, but not in an epistemic sense. In this paper we focus on two fo...
Richard Willis,Yali Du,Joel Z Leibo et al.
Richard Willis et al.
Social dilemmas present a significant challenge in multi-agent cooperation because individuals are incentivised to behave in ways that undermine socially optimal outcomes. Consequently, self-interested agents often avoid collective behaviou...
Berk Buzcu,Melissa Tessa,Igor Tchappi et al.
Berk Buzcu et al.
The awareness about healthy lifestyles is increasing, opening to personalized intelligent health coaching applications. A demand for more than mere suggestions and mechanistic interactions has driven attention to nutrition virtual coaching ...
Swapna Thorve,Zhihao Hu,Kiran Lakkaraju et al.
Swapna Thorve et al.
We develop a methodology for comparing agent-based models that are developed for the same domain, but may differ in the data sets (e.g., geographical regions) to which they are applied, and in the structure of the model. Our approach is to ...
Federico Toffano,Nic Wilson
Federico Toffano
In a decision-making problem, there is often some uncertainty regarding the user preferences. We assume a parameterised utility model, where in each scenario we have a utility function over alternatives, and where each scenario represents a...