Related Experiment Video
Updated: Feb 20, 2026

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
Published on: January 5, 2024
The Relationship Between the Normalized Gradient Addition Mechanism and Quadratic Voting.
Daniel Benjamin1, Ori Heffetz2, Miles Kimball3
1Center for Economic and Social Research, University of Southern California, Los Angeles, CA 90089, USA.
This study compares Quadratic Voting and Normalized Gradient Addition, two budget-constrained social choice mechanisms. It analyzes their relationship across various voting contexts, including policy adjustments and public choices.
Area of Science:
- Social Choice Theory
- Mechanism Design
- Public Economics
Background:
- Quadratic Voting (QV) and Normalized Gradient Addition (NGA) are distinct social choice mechanisms.
- Both mechanisms impose quadratic budget constraints on voters.
- They are typically applied in different decision-making scenarios.
Purpose of the Study:
- To explore the relationship between Quadratic Voting and Normalized Gradient Addition.
- To adapt and apply these mechanisms to comparable contexts.
- To analyze their behavior in scenarios involving continuous policies, multiple public choices, and private consequences.
Main Methods:
- Comparative analysis of QV and NGA.
- Adaptation of mechanisms to shared contexts.
- Formal analysis of QV using abstract tokens instead of money.
Main Results:
- The study investigates the interplay between QV and NGA in three specific contexts.
- It provides a formal examination of QV when voters use abstract, equally distributed tokens.
- The research elucidates how these mechanisms function when applied to similar problems.
Conclusions:
- QV and NGA can be related and analyzed within common frameworks.
- The use of abstract tokens offers a novel perspective on QV implementation.
- Understanding the relationship between these mechanisms enhances social choice theory and mechanism design.
Related Concept Videos
Quadratic Models
Gradient and Del Operator
Quadratic Equations
Routh-Hurwitz Criterion II
The first scenario occurs when a singular zero appears in the first column of the Routh table. This situation creates a division by zero issues. To resolve this, a small positive or negative number, denoted as epsilon (∈), is substituted for the zero. The stability analysis proceeds by assuming a sign for ∈. If ∈ is positive, any sign change in the first...
Vector Algebra: Method of Components
In many applications, the magnitudes and directions of...
Relating Angular And Linear Quantities - II