Agents Overcoming Resource Independent Scaling Threats (AORIST)

Abstract

This project uses abstract simulation models of resource allocation and mathematical techniques inspired by statistical physics to study the nonlinear emergent dynamics of distributed decentralized resource allocation. Our techniques seek to characterize the dynamics that may be anticipated in real systems, to predict pathological dynamics such as peaks in required computational effort and catastrophic breakdown in performance, and to develop control methods based on this understanding. Our general approach begins with a set of abstract Resource Allocation Games (RAG). These games are derived from the Minority Game, a simple model of competition for scarce re-sources that captures essential features of interactions among agents that are heterogeneous, autonomous, boundedly rational, adaptable, parallel, co-situated, and experienced. Our research explores and generally confirms two hypotheses concerning the dynamics of resource allocation. The Generality Hypothesis asserts that a generic RAG exhibits dynamics that are intrinsic to resource allocation in-dependent of mechanism. The Specificity Hypothesis asserts that a RAG can be developed to resemble a specific re-source allocation mechanism and study its (idiosyncratic) dynamics.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2004
Accession Number
ADA428683

Entities

People

  • H. Van Dyke Parunak
  • John A. Sauter
  • Robert Savit
  • Sven Brueckner

Tags

Communities of Interest

  • Air Platforms
  • Engineered Resilient Systems
  • Human Systems
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Air Force Research Laboratories
  • Algorithms
  • Commerce
  • Computational Complexity
  • Computational Science
  • Department Of Defense
  • Deployment
  • Engineering
  • Information Science
  • Information Systems
  • Logistics
  • Military Research
  • Minority Groups
  • Particle Swarm Optimization
  • Phase Transformations
  • Supply Chain

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Regression Analysis.
  • Systems Analysis and Design