Emergent Aerospace Designs Using Negotiating Autonomous Agents

Abstract

This paper presents a distributed design methodology where designs emerge as a result of the negotiations between different stake holders in the process, such as cost, performance, reliability, etc. The proposed methodology uses autonomous agents to represent design decision makers. Each agent influences specific design parameters in order to maximize their utility. Since the design parameters depend on the aggregate demand of all the agents in the system, design agents need to negotiate with others in the market economy in order to reach an acceptable utility value. This paper addresses several interesting research issues related to distributed design architectures. First, we present a flexible framework which facilitates decomposition of the design problem. Second, we present overview of a market mechanism for generating acceptable design configurations. Finally, we integrate learning mechanisms in the design process to reduce the computational overhead.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2000
Accession Number
ADP010521

Entities

People

  • Abhijit Deshmukh
  • Charles O Smith
  • Timothy Middelkoop

Organizations

  • University of Massachusetts Amherst

Tags

Communities of Interest

  • Autonomy
  • Space

DTIC Thesaurus Topics

  • Aerospace Industry
  • Algorithms
  • Application Software
  • Autonomous Agents
  • Commerce
  • Commodities
  • Composite Materials
  • Consumers
  • Design Criteria
  • Economic Systems
  • Manufacturing
  • Market Economy
  • Neural Networks
  • Optimization
  • Reliability
  • United States
  • Vehicles

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Economics
  • Software Engineering

Technology Areas

  • Space
  • Space - Spacecraft Maneuvers