On Proportionate and Truthful International Alliance Contributions: An Analysis of Incentive Compatible Cost Sharing Mechanisms to Burden Sharing

Abstract

Burden sharing within an international alliance is a contentious topic, especially in the current geopolitical environment, that in practice is generally imposed by a central authority's perception of its members' abilities to contribute. Instead, we propose a cost sharing mechanism such that burden shares are allocated to nations based on their honest declarations of the alliance's worth. We develop a set of multiobjective nonlinear optimization problem formulations that, respectively, impose Bayesian Incentive Compatible (BIC), Strategy proof(SP) or Group Strategy proof (GSP) mechanisms based on probabilistic inspection and deception penalties that are budget balanced and in the core. A feasible solution to these problems produce a game wherein a collectively honest declaration is an equilibrium to the game but the optimal solution considers the central authority preferences. The efficacy of three heuristic algorithms and the BARON global solver are analyzed to determine the superlative methodology for each problem. The associated Pareto fronts are examined to determine the tradeoff between inspections and penalties required to obtain truthfulness under stronger assumptions. Memory limitations are examined to ascertain when the approach can be utilized. Finally, we consider the type clustering and nations' distributions therein on a UNASUR sized alliance.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 23, 2017
Accession Number
AD1051579

Entities

People

  • William N. Caballero

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Computational Science
  • Computer Science
  • European Union
  • Game Theory
  • Governments
  • International Organizations
  • International Relations
  • Linear Programming
  • Mathematical Programming
  • Operations Research
  • Optimization
  • Recreation
  • Social Welfare
  • Treaties
  • United States

Readers

  • Game Theory.
  • International Relations and European Studies
  • Operations Research

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms