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10 - Multiagent Systems

from III - Learning and Planning

David L. Poole
Affiliation:
University of British Columbia, Vancouver
Alan K. Mackworth
Affiliation:
University of British Columbia, Vancouver
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Summary

Imagine a personal software agent engaging in electronic commerce on your behalf. Say the task of this agent is to track goods available for sale in various online venues over time, and to purchase some of them on your behalf for an attractive price. In order to be successful, your agent will need to embody your preferences for products, your budget, and in general your knowledge about the environment in which it will operate. Moreover, the agent will need to embody your knowledge of other similar agents with which it will interact (e.g., agents who might compete with it in an auction, or agents representing store owners) – including their own preferences and knowledge. A collection of such agents forms a multiagent system.

–Yoav Shoham and Kevin Leyton-Brown [2008, page xvii]

What should an agent do when there are other agents, with their own values, who are also reasoning about what to do? An intelligent agent should not ignore other agents or treat them as noise in the environment. We consider the problems of determining what an agent should do given a mechanism that specifies how the world works, and of designing a mechanism that has useful properties.

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Artificial Intelligence
Foundations of Computational Agents
, pp. 423 - 450
Publisher: Cambridge University Press
Print publication year: 2010

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  • Multiagent Systems
  • David L. Poole, University of British Columbia, Vancouver, Alan K. Mackworth, University of British Columbia, Vancouver
  • Book: Artificial Intelligence
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511794797.011
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  • Multiagent Systems
  • David L. Poole, University of British Columbia, Vancouver, Alan K. Mackworth, University of British Columbia, Vancouver
  • Book: Artificial Intelligence
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511794797.011
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Multiagent Systems
  • David L. Poole, University of British Columbia, Vancouver, Alan K. Mackworth, University of British Columbia, Vancouver
  • Book: Artificial Intelligence
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511794797.011
Available formats
×