Designing Efficient Multi-Agent Systems.

Abstract

The research carried out during 1994 under this grant expands our previous work on two central design issues in multi-agent systems and begins to develop two new tools for multi-agent systems. As part of our effort to provide foundations for more powerful agent-oriented programming environments (AOP), we have been concentrating on basic understanding of mental states and their dynamics. In order to facilitate efficient interactions in shared multi-agent environments, such as the Internet, we have continued our investigation of computational social laws and their implementation in different domains. In order to help model agents within a multi-agent systems we have developed an approach for ascribing mental qualities to agents. Finally, we have suggested an approach for describing the complexity of robotics domains, which has yielded an algorithm for analyzing the possibility of decentralizing tasks.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1994
Accession Number
ADA294332

Entities

People

  • Yoav Shoham

Organizations

  • Stanford University

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Agent-Oriented Programming
  • Communication Channels
  • Computations
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Corporations
  • Environment
  • Internet
  • Motion Planning
  • Multiagent Systems
  • Robotics

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • Autonomy
  • Autonomy - Autonomous System Control