Team-based resource allocation using a decentralized social decision-making paradigm

Joshua P. Hecker; Annie S. Wu; Jared A. Herweg; John C. Sciortino Jr.

doi:10.1117/12.785379

1 May 2008 Team-based resource allocation using a decentralized social decision-making paradigm

Joshua P. Hecker, Annie S. Wu, Jared A. Herweg, John C. Sciortino Jr.

Proceedings Volume 6964, Evolutionary and Bio-Inspired Computation: Theory and Applications II; 696409 (2008) https://doi.org/10.1117/12.785379
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

We examine the use of local decentralized decision-making methods for solving the problem of resource allocation. Specifically, we study the problem of frequency coverage given a team of cooperating receivers. The decision making process is decentralized in that receivers can only communicate locally. We use an extension of the minority game approach to allocate receivers to current frequency coverage tasks.

Citation Download Citation

Joshua P. Hecker, Annie S. Wu, Jared A. Herweg, and John C. Sciortino Jr. "Team-based resource allocation using a decentralized social decision-making paradigm", Proc. SPIE 6964, Evolutionary and Bio-Inspired Computation: Theory and Applications II, 696409 (1 May 2008); https://doi.org/10.1117/12.785379

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available