rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Transactional Agents
    sub title: Towards a Robust Multi-Agent System
  name:
    name part: Nagi, Khaled.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2001
    edition: 1st ed. 2001.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 208 p. online resource.
  abstract: 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.
  table of contents: Application Scenario -- Overview of Agent Technology -- Overview of Transaction Processing -- Proposed Approach: Transactional Agents -- The Agent Transaction Model -- Robustness Guaranteeing Mechanisms -- Interacting with the Execution Agent -- Simulation Study -- Simulation Results -- Summary and Future Work.
  note: by Khaled Nagi.
  subject:
    topic: Data structures (Computer science)
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computer communication systems
  subject:
    topic: Database management
  subject:
    topic: Software engineering
  subject:
    topic: Information storage and retrieval
  subject:
    topic: Data Structures and Information Theory
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Computer Communication Networks
  subject:
    topic: Database Management
  subject:
    topic: Software Engineering
  subject:
    topic: Information Storage and Retrieval
  classification: QA76.9.D35
  classification: Q350-390
  classification: 005.73
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Computer Science, 2249
  identifier: 9783540453543
  identifier: https://doi.org/10.1007/3-540-45354-7
  record info:
    record creation date: 121227
    record change date: 20191027133029.0
    record identifier: 978-3-540-45354-3