Dynamite Project Autonomous Negotiating Teams (ANTS) Program

Abstract

Distributed resource allocation is a general problem in which a set of agents must intelligently assign their resources to a set of dynamic tasks. Obtaining effective performance in dynamic domains is difficult because agents must deal with significant challenges such as coping with limited resources, ability to respond to changes in tasks, coordinating with other agents and adhering to domain-imposed communication restraints. As part of the DARPA Autonomous Negotiating Teams (ANTs) program, this project addressed shortcomings in current distributed resource allocation research. Significant advancements were made in three areas: 1) Creation of abstract formalizations of the problem that allows the development of general solution strategies, 2) Development of the Adopt algorithm, which addresses solving dynamic distributed constraint problems, and 3) Application of the techniques in a practical domain involving real-world hardware. Target tracking in distributed sensor networks is the selected application area addressed by this report.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2003
Accession Number
ADA417450

Entities

People

  • Hyuckchul Jung
  • Milind Tambe
  • Pagnesh J. Modi
  • Wei-min Shen

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Air Force Research Laboratories
  • Algorithms
  • Artificial Intelligence
  • Computer Science
  • Detectors
  • Disasters
  • Information Systems
  • Moving Targets
  • Multiagent Systems
  • Networks
  • Probability
  • Probability Distributions
  • Reasoning
  • Sensor Networks
  • Simulators
  • Wireless Sensor Networks

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Operations Research
  • Software Engineering.