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Chatbot with common-sense database
KTH, School of Computer Science and Communication (CSC).
2015 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

In 1950 Alan Turing introduced the famous “Turing test” which tests if a machine can be as intelligent as a human by testing if it can communicate with a person in a “human” way. Inspired by this test, numerous so called chatbots, in the form of computer programs, that manage a written dialogue have been created. A so called commonsensedatabase consists of data that most humans would know andconsider as common knowledge, something that computers generally do not know very muchabout. This report describes the process of an attempt to implement a simple chatbot using the common-sense database ConceptNet. The behaviour, or the human-likeness, of this chatbot was then compared to that of the classic chatbot ELIZA and the 2008 Loebner prize winning chatbot Elbot, through a series of user tests. The results indicate that using a common-sense database for a chatbot shows some promisefor further investigation.

Place, publisher, year, edition, pages
2015.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-166745OAI: oai:DiVA.org:kth-166745DiVA: diva2:812049
Supervisors
Examiners
Available from: 2015-05-15 Created: 2015-05-15 Last updated: 2015-05-15Bibliographically approved

Open Access in DiVA

fulltext(1286 kB)508 downloads
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File name FULLTEXT01.pdfFile size 1286 kBChecksum SHA-512
a6da7f46a0ddfd80f2ff95f0ec5135177735d97594c79fe14cbc5d6a311c61bf3c2c51798409e37f1f657b498ab4a28dfcc47cedab3faf5f7eb3df382e961369
Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf