Human-centred mechanism design with Democratic AI

Köster, Raphael; Jan, Balaguer; Tacchetti, Andrea; Weinstein, Ari; Zhu, Tina; Hauser, Oliver P.; Williams, Duncan; Campbell-Gillingham, Lucy; Thacker, Phoebe; Botvinick, Matthew; Summerfield, Christopher

doi:10.1038/s41562-022-01383-x

Cited by 47 publications

(16 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Considering other models may change the system dynamics, and perhaps improve the PoA. Moreover, designing an optimal fairness rule may be done similarly as for voting mechanisms in the manner of [8].…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Price of Anarchy in a Double-Sided Critical Distribution System

Sychrovský¹,

Černý²,

Lichau³

et al. 2023

Preprint

View full text Add to dashboard Cite

Measures of allocation optimality differ significantly when distributing standard tradable goods in peaceful times and scarce resources in crises. While realistic markets offer asymptotic efficiency, they may not necessarily guarantee fair allocation desirable when distributing the critical resources. To achieve fairness, mechanisms often rely on a central authority, which may act inefficiently in times of need when swiftness and good organization are crucial. In this work, we study a hybrid trading system called Crisdis, introduced by Jedličková et al., which combines fair allocation of buying rights with a market -leveraging the best of both worlds. A frustration of a buyer in Crisdis is defined as a difference between the amount of goods they are entitled to according to the assigned buying rights and the amount of goods they are able to acquire by trading. We define a Price of Anarchy (PoA) in this system as a conceptual analogue of the original definition in the context of frustration. Our main contribution is a study of PoA in realistic complex double-sided market mechanisms for Crisdis. The performed empirical analysis suggests that in contrast to market free of governmental interventions, the PoA in our system decreases.

show abstract

Section: Discussionmentioning

confidence: 99%

“…maximal, amount of good bought by a buyer, and the sense of the objective function ensure that it will be exactly this quantity. The constraint (8) imposes that the buyers pay at most in average 𝑝 𝐺 𝑏 for the Good. The constraint (9) forces that the buyers pay at most in average 𝑝 𝑅 𝑏 for the Right.…”

Section: A Hyperparametersmentioning

confidence: 99%

Price of Anarchy in a Double-Sided Critical Distribution System

Sychrovský¹,

Černý²,

Lichau³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Traditionally, a classical model to study the effect of inequality on cooperation is the linear public goods game [ 26 , 27 ]. In this game, individuals decide how much of their endowment to contribute to a public good.…”

Section: An Overview Of the Previous Literature On Asymmetric Public ...mentioning

confidence: 99%

Cooperation and coordination in heterogeneous populations

Wang

Couto

Wang

et al. 2023

Phil. Trans. R. Soc. B

View full text Add to dashboard Cite

One landmark application of evolutionary game theory is the study of social dilemmas. This literature explores why people cooperate even when there are strong incentives to defect. Much of this literature, however, assumes that interactions are symmetric. Individuals are assumed to have the same strategic options and the same potential pay-offs. Yet many interesting questions arise once individuals are allowed to differ. Here, we study asymmetry in simple coordination games. In our set-up, human participants need to decide how much of their endowment to contribute to a public good. If a group’s collective contribution reaches a pre-defined threshold, all group members receive a reward. To account for possible asymmetries, individuals either differ in their endowments or their productivities. According to a theoretical equilibrium analysis, such games tend to have many possible solutions. In equilibrium, group members may contribute the same amount, different amounts or nothing at all. According to our behavioural experiment, however, humans favour the equilibrium in which everyone contributes the same proportion of their endowment. We use these experimental results to highlight the non-trivial effects of inequality on cooperation, and we discuss to which extent models of evolutionary game theory can account for these effects. This article is part of the theme issue ‘Half a century of evolutionary games: a synthesis of theory, application and future directions'.

show abstract

“…DRL from human feedback is when systems or machines learn to behave by using some little assistance from humans, which can actually bring out the best from both humans and the machines [80]. Building AI systems that align with human values, i.e., humancentered AI, in which DRL strategies can be used in the design of social mechanisms preferred by humans, is still an open research topic [81]. What is quite remarkable from the above discussion on human proxies is that most of the solutions to these problems are found through the harmonious combination of RL strategies and hierarchical sensory processing systems.…”

Section: Integrating the Human Proxy With Deep Reinforcement Learningmentioning

confidence: 99%

From Cyber–Physical Convergence to Digital Twins: A Review on Edge Computing Use Case Designs

Hlophe,

Maharaj

2023

Applied Sciences

View full text Add to dashboard Cite

As a result of the new telecommunication ecosystem landscape, wireless communication has become an interdisciplinary field whose future is shaped by several interacting dimensions. These interacting dimensions, which form the cyber–physical convergence, closely link the technological perspective to its social, economic, and cognitive sciences counterparts. Beyond the current operational framework of the Internet of Things (IoT), network devices will be equipped with capabilities for learning, thinking, and understanding so that they can autonomously make decisions and take appropriate actions. Through this autonomous operation, wireless networking will be ushered into a paradigm that is primarily inspired by the efficient and effective use of (i) AI strategies, (ii) big data analytics, as well as (iii) cognition. This is the Cognitive Internet of People Processes Data and Things (CIoPPD&T), which can be defined in terms of the cyber–physical convergence. In this article, through the discussion of how the cyber–physical convergence and the interacting dynamics of the socio-technical ecosystem are enablers of digital twins (DTs), the network DT (NDT) is discussed in the context of 6G networks. Then, the design and realization of edge computing-based NDTs are discussed, which culminate with the vehicle-to-edge (V2E) use cases.

show abstract

Human-centred mechanism design with Democratic AI

Cited by 47 publications

References 35 publications

Price of Anarchy in a Double-Sided Critical Distribution System

Price of Anarchy in a Double-Sided Critical Distribution System

Cooperation and coordination in heterogeneous populations

From Cyber–Physical Convergence to Digital Twins: A Review on Edge Computing Use Case Designs

Contact Info

Product

Resources

About