The Benefits of Fractionation in Competitive Resource Allocation

Justin Grana, Jonathan Lamb, Nicholas A. O'Donoughue

Published Feb 14, 2020

We leverage a new algorithm for numerically solving Colonel Blotto games to gain insight into a version of the game where players have different types of resources. Specifically, the winner of a battlefield is a function of a multi-dimensional allocation vector of each player. Our main focus is on the potential benefits of fractionation, which we define as the degree to which a player can quantize its resources. When players only have one type of resource, we show that the benefits to fractionation are in general, greatest in resource poor environments and against aggregated adversaries. We then extend the model to include random dropout and show that fractionation increases robustness to failure in resource poor environments but not resource rich environments. Finally, we show that when players have different types of resources, the benefits of fractionation are no longer mitigated by an increase in the total force size. Since many real-world resource allocation problems are multi-dimensional, our results illustrate the importance of analyzing multi-resource Blotto games in tandem with the traditional specification.

Topics

Document Details

Citation

RAND Style Manual
Grana, Justin, Jonathan Lamb, and Nicholas A. O'Donoughue, The Benefits of Fractionation in Competitive Resource Allocation, RAND Corporation, WR-1329-OSD, 2020. As of September 4, 2024: https://www.rand.org/pubs/working_papers/WR1329.html
Chicago Manual of Style
Grana, Justin, Jonathan Lamb, and Nicholas A. O'Donoughue, The Benefits of Fractionation in Competitive Resource Allocation. Santa Monica, CA: RAND Corporation, 2020. https://www.rand.org/pubs/working_papers/WR1329.html.
BibTeX RIS

This research was sponsored by the Defense Advanced Research Projects Agency's Strategic Technology Office and conducted within the Acquisition and Technology Policy Center of the RAND National Defense Research Institute, a federally funded research and development center sponsored by the Office of the Secretary of Defense, the Joint Staff, the Unified Combatant Commands, the Navy, the Marine Corps, the defense agencies, and the defense Intelligence Community.

This publication is part of the RAND working paper series. RAND working papers are intended to share researchers' latest findings and to solicit informal peer review. They have been approved for circulation by RAND but may not have been formally edited or peer reviewed.

This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit www.rand.org/pubs/permissions.

RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.