Case-Based Travel Agent
Citation:
Frédéric Peuret, 'Case-Based Travel Agent', [thesis], Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 1999.Download Item:
TCD-CS-1999-69.pdf (PDF) 255.2Kb
Abstract:
With the explosion of the Internet, we are getting more and more information and it
becomes difficult to digest. Agents exist to help the users. An agent is a component of
software (or hardware) that is capable of accomplishing tasks on behalf of its user. To
accomplish these tasks, it should be able to adapt itself to the user and should also be able to
learn from his decisions. Most of them use a rule-based system and it appears that they are
not really adapted to the user. A case-based reasoning system seems to be a better approach.
Rule-based systems need a good definition of the system and are not able to learn
very well from the user choices. What is more, it is not able to handle missing information
or unexpected values. On the other hand, an agent build with a case-based reasoning system
should be able to solve these problems.
In order to show the benefits of a case-based reasoning system for an agent, one of
the FIPA (Foundation for Intelligent Physical Agents) scenarios will be used as a context for
this dissertation: the Travel Assistance Scenario. This scenario involves different kinds of
agents that interact in order to plan a journey for a user. In this dissertation, a case-based
system will be implemented using a Case-Retrieval Net (CRN) for retrieval. It will then be
used to demonstrate the flexibility and adaptability of this kind of system.
Author: Peuret, Frédéric
Advisor:
Cunningham, PadraigQualification name:
Master in Science (M.Sc.)Collections:
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