Gil Aharoni

dblp:48/8232 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2025
0000-0001-5792-7171ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Theory of computation · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Algorithmic game theory and mechanism design · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Algorithmic game theory and mechanism design › mechanism design
contract design
0.912025
Welfare and Beyond in Multi-Agent Contracts · EC 2025
Algorithmic game theory and mechanism design
mechanism design
0.912025
Welfare and Beyond in Multi-Agent Contracts · EC 2025
Algorithmic game theory and mechanism design › mechanism design › contract design
multi-agent contracts
0.912025
Welfare and Beyond in Multi-Agent Contracts · EC 2025
Algorithmic game theory and mechanism design
welfare maximization
0.912025
Welfare and Beyond in Multi-Agent Contracts · EC 2025

Methods — techniques the papers use, named apart from their topics

mechanism design · 0.9game theory · 0.9
YearPublicationVenuePosition
2025 Welfare and Beyond in Multi-Agent Contracts
abstract
A principal delegates a project to a team S from a pool of n agents. The project's value if all agents in S exert costly effort is f(S). To incentivize the agents to participate, the principal assigns each agent i ∈ S a share ρi ∈ [0,1] of the project's final value (i.e., designs n linear contracts). The shares must be feasible—their sum should not exceed 1. It is well-understood how to design these contracts to maximize the principal's own expected utility, but what if the goal is to coordinate the agents toward maximizing social welfare?
Gil Aharoni, Martin Hoefer 0001, Inbal Talgam-Cohen
EC1