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Distributed Reason Maintenance for Multiagent Systems

  • Book
  • © 1997

Overview

Editors:
  1. Gerhard K. Kraetzschmar
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1229)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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Table of contents (6 chapters)

  1. Front Matter

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  2. Introduction

    Pages 1-23

  3. Single agent reason maintenance

    Pages 25-55

  4. XFRMS: A single agent Focus-Based Reason Maintenance System

    Pages 57-81

  5. Multiagent reason maintenance

    Pages 83-170

  6. MXFRMS: A multiagent focus-based reason maintenance system

    Pages 171-249

  7. Conclusions

    Pages 251-260

  8. Back Matter

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Keywords

About this book

This book provides a systematic in-depth investigation of a class of multiple-context assumption-based multiagent reasoning problems, typical, e.g., for distributed planning, scheduling, and control. First, logical and architectural foundations are provided to construct the two systems XFRMS and MXFRMS allowing the development of more complex utilities. Then the technology developed for XFRMS in the single-agent case is further enhanced to the multiagent situation. The multiagent RMS MXFRMS provides, along with XFRMS, a solid foundation for building more complex utilities, such as plan or schedule maintenance systems. In the final chapter, the software engineer confronted with the task of building a practicable multiagent system can find a discussion of potential uses and future extensions of the systems provided.

Bibliographic Information

  • Book Title: Distributed Reason Maintenance for Multiagent Systems

  • Editors: Gerhard K. Kraetzschmar

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/3-540-63606-4

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1997

  • Softcover ISBN: 978-3-540-63606-9Published: 01 October 1997

  • eBook ISBN: 978-3-540-69609-4Published: 02 July 2005

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: CCCXVI, 300

  • Topics: Artificial Intelligence

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