Abstract
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<p>With the introduction of low-cost … <p>With the introduction of low-cost wireless communication many new applications have been made possible; applications where systems can collaboratively learn and get wiser without human supervision. One potential application is automated monitoring for fault isolation in mobile mechatronic systems such as commercial vehicles. The paper proposes an agent design that is based on uploading software agents to a fleet of mechatronic systems. Each agent searches for interesting state representations of a system and reports them to a central server application. The states from the fleet of systems can then be used to form a consensus from which it can be possible to detect deviations and even locating a fault.</p>tions and even locating a fault.</p>
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Author
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Stefan Byttner +
, Thorsteinn Rögnvaldsson +
, Magnus Svensson +
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Conference
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2010 AAAI Spring Symposium, Stanford University, Stanford, CA, United States, 22 - 24 March 2010, Code 81902
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Diva
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http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:379428
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EndPage
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19 +
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HostPublication
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Embedded reasoning : intelligence in embedded systems : papers from the AAAI Spring Symposium +
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PublicationType
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Conference Paper +
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Publisher
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AAAI Press +
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Series
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Technical report (American Association for Artificial Intelligence) ; SS-10-04 +
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StartPage
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17 +
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Title
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Finding the odd-one-out in fleets of mechatronic systems using embedded intelligent agents +
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Year
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2010 +
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Has queryThis property is a special property in this wiki.
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Publications:Finding the odd-one-out in fleets of mechatronic systems using embedded intelligent agents +
, Publications:Finding the odd-one-out in fleets of mechatronic systems using embedded intelligent agents +
, Publications:Finding the odd-one-out in fleets of mechatronic systems using embedded intelligent agents +
, Publications:Finding the odd-one-out in fleets of mechatronic systems using embedded intelligent agents +
, Publications:Finding the odd-one-out in fleets of mechatronic systems using embedded intelligent agents +
, Publications:Finding the odd-one-out in fleets of mechatronic systems using embedded intelligent agents +
, Publications:Finding the odd-one-out in fleets of mechatronic systems using embedded intelligent agents +
, Publications:Finding the odd-one-out in fleets of mechatronic systems using embedded intelligent agents +
, Publications:Finding the odd-one-out in fleets of mechatronic systems using embedded intelligent agents +
, Publications:Finding the odd-one-out in fleets of mechatronic systems using embedded intelligent agents +
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Categories |
Publication +
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Modification dateThis property is a special property in this wiki.
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30 September 2016 20:41:01 +
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