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Transactional Agents

Towards a Robust Multi-Agent System

  • Khaled Nagi

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2249)

Table of contents

  1. Front Matter
    Pages I-XVI
  2. Pages 1-4
  3. Pages 151-159
  4. Pages 161-181
  5. Pages 183-185
  6. Back Matter
    Pages 187-205

About this book

Introduction

The term “agent” is one of those catchwords that mean widely differing things to different people. To telecommunications people it is little more than a mobile piece of code that may be executed at any place. At the other extreme, AI people often associate with agents human-like traits such as social behavior. In between, software people view agents as fairly self-contained pieces of software that, at the low end, pretty much act like objects and, at the high end, more or less auto- mously decide when and how to react to stimuli or proactively initiate effects that can be observed from their environment. Software agents are particularly important when it comes to distributed en- ronments. There, much of the communication takes place asynchronously, that is the sequence of events cannot be planned ahead in all detail. Instead, agents are given rules as to how to interpret the current situation and, given a common goal, so that they adjust their response accordingly.

Keywords

DOM Middleware Multi-agent system agents database information system knowledge

Editors and affiliations

  • Khaled Nagi
    • 1
  1. 1.Institute for Program Structures and Data OrganizationUniversity of KarlsruheKarlsruheGermany

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-45354-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2001
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-43046-9
  • Online ISBN 978-3-540-45354-3
  • Series Print ISSN 0302-9743
  • Buy this book on publisher's site