A Case-Based Reflective Negotiation Model

Abstract

The goal of our work was to create autonomous agents that worked in a domain of constrained resources and that used case-based negotiation to allocate resources in a satisfying manner. The domain of application was distributed sensor management for multi-target tracking. We developed two separate but similar formalisms for the implementation of the negotiation agents: first, a real-time architecture based on the Belief-Desire- Intention (BDI) agent framework and second, a near real-time architecture that relied on domain heuristics. Both architectures used Case-Based Reasoning (CBR) to select a negotiation strategy, and then negotiated using argumentation. The BDI architecture used a real-time Linux kernel to have time awareness. In addition to this main thrust of our work, we were also tasked to provide tools for analyzing the performance of Java code, real-time Linux services, a Communication Server to model the RF communication channels of the sensors, and for studying and improving the Challenge Problem code.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2003
Accession Number
ADA417844

Entities

People

  • Costas Tsatsoulis

Organizations

  • University of Kansas

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Acceptability
  • Accuracy
  • Air Force Research Laboratories
  • Artificial Intelligence
  • Autonomous Agents
  • Communication Channels
  • Detectors
  • Information Systems
  • Intelligent Agents
  • Multiagent Systems
  • Multitarget Tracking
  • Negotiations
  • Networks
  • Operating Systems
  • Sensor Networks
  • Target Tracking
  • Time Intervals

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Artificial Intelligence
  • Sensor Fusion and Tracking Systems.