Participatory Budgeting With Multiple Degrees of Projects And Ranged
Approval Votes
- URL: http://arxiv.org/abs/2305.10972v1
- Date: Thu, 18 May 2023 13:39:56 GMT
- Title: Participatory Budgeting With Multiple Degrees of Projects And Ranged
Approval Votes
- Authors: Gogulapati Sreedurga
- Abstract summary: In an indivisible participatory budgeting (PB) framework, we have a limited budget that is to be distributed among a set of projects.
Each voter approves a range of costs for each project, by giving an upper and lower bound on the cost that she thinks the project deserves.
The outcome of a PB rule selects a subset of projects and also specifies their corresponding costs.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-sa/4.0/
- Abstract: In an indivisible participatory budgeting (PB) framework, we have a limited
budget that is to be distributed among a set of projects, by aggregating the
preferences of voters for the projects. All the prior work on indivisible PB
assumes that each project has only one possible cost. In this work, we let each
project have a set of permissible costs, each reflecting a possible degree of
sophistication of the project. Each voter approves a range of costs for each
project, by giving an upper and lower bound on the cost that she thinks the
project deserves. The outcome of a PB rule selects a subset of projects and
also specifies their corresponding costs. We study different utility notions
and prove that the existing positive results when every project has exactly one
permissible cost can also be extended to our framework where a project has
several permissible costs. We also analyze the fixed parameter tractability of
the problem. Finally, we propose some important and intuitive axioms and
analyze their satisfiability by different PB rules. We conclude by making some
crucial remarks.
Related papers
- Exploring Welfare Maximization and Fairness in Participatory Budgeting [1.6317061277457001]
Participatory budgeting (PB) is a voting paradigm for distributing a divisible resource, usually called a budget, among a set of projects by aggregating the preferences of individuals over these projects.
This PhD dissertation studies the welfare-related and fairness-related objectives for different PB models.
arXiv Detail & Related papers (2024-10-26T10:51:22Z) - Submodular Participatory Budgeting [11.528995186765751]
We propose a submodular participatory budgeting problem, assuming that the utility function of each individual is a monotone and submodular function over funded projects.
We examine three preference elicitation methods, including emphranking-by-marginal-values, emphranking-by-values and emphthreshold approval votes, and analyze their performances in terms of distortion.
arXiv Detail & Related papers (2024-06-19T14:22:54Z) - Fair Allocation in Dynamic Mechanism Design [57.66441610380448]
We consider a problem where an auctioneer sells an indivisible good to groups of buyers in every round, for a total of $T$ rounds.
The auctioneer aims to maximize their discounted overall revenue while adhering to a fairness constraint that guarantees a minimum average allocation for each group.
arXiv Detail & Related papers (2024-05-31T19:26:05Z) - Efficient Prompt Optimization Through the Lens of Best Arm Identification [50.56113809171805]
This work provides a principled framework, TRIPLE, to efficiently perform prompt selection under an explicit budget constraint.
It is built on a novel connection established between prompt optimization and fixed-budget best arm identification (BAI-FB) in multi-armed bandits (MAB)
arXiv Detail & Related papers (2024-02-15T05:31:13Z) - Empowering Many, Biasing a Few: Generalist Credit Scoring through Large
Language Models [53.620827459684094]
Large Language Models (LLMs) have great potential for credit scoring tasks, with strong generalization ability across multiple tasks.
We propose the first open-source comprehensive framework for exploring LLMs for credit scoring.
We then propose the first Credit and Risk Assessment Large Language Model (CALM) by instruction tuning, tailored to the nuanced demands of various financial risk assessment tasks.
arXiv Detail & Related papers (2023-10-01T03:50:34Z) - Multi-Target Multiplicity: Flexibility and Fairness in Target
Specification under Resource Constraints [76.84999501420938]
We introduce a conceptual and computational framework for assessing how the choice of target affects individuals' outcomes.
We show that the level of multiplicity that stems from target variable choice can be greater than that stemming from nearly-optimal models of a single target.
arXiv Detail & Related papers (2023-06-23T18:57:14Z) - Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits [81.60136088841948]
We propose an algorithm that minimizes the regret over the horizon of time $T$.
The proposed algorithm is applicable to domains such as recommendation systems and transportation.
arXiv Detail & Related papers (2023-01-31T03:49:00Z) - Combinatorial Civic Crowdfunding with Budgeted Agents: Welfare
Optimality at Equilibrium and Optimal Deviation [9.42992029855906]
Civic Crowdfunding (CC) uses the power of the crowd'' to garner contributions towards public projects.
For single project CC, researchers propose to provide refunds to incentivize agents to contribute, thereby guaranteeing the project's funding.
arXiv Detail & Related papers (2022-11-25T07:53:23Z) - Participatory Budgeting with Donations and Diversity Constraints [31.521771465733057]
Participatory budgeting (PB) is a democratic process where citizens jointly decide on how to allocate public funds to indivisible projects.
This paper focuses on PB processes where citizens may give additional money to projects they want to see funded.
We introduce a formal framework for this kind of PB with donations. Our framework also allows for diversity constraints, meaning that each project belongs to one or more types, and there are lower and upper bounds on the number of projects of the same type that can be funded.
arXiv Detail & Related papers (2021-04-30T15:48:25Z) - Participatory Budgeting with Project Groups [27.39571821668551]
We study a generalization of the standard approval-based model of participatory budgeting (PB)
We show that the problem is generally intractable and describe efficient exact algorithms for several special cases.
Our results could allow, e.g., municipalities to hold richer PB processes that are thematically and geographically inclusive.
arXiv Detail & Related papers (2020-12-09T18:23:04Z) - Generalization Guarantees for Multi-item Profit Maximization: Pricing,
Auctions, and Randomized Mechanisms [86.81403511861788]
We study multi-item profit when there is an underlying distribution over buyers' values.
For any set of buyers' values, profit is piecewise linear in the mechanism's parameters.
We prove new bounds for mechanism classes not yet in the sample-based mechanism design literature.
arXiv Detail & Related papers (2017-04-29T22:02:14Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.