Conversational Agents as Full-Pledged BDI Agents for Ambient Intelligence
The need for conversational agents based on the Belief-Desire- Intention (BDI) architecture rise to support natural interfaces in many application areas of ambient intelligence, among which are the smart homes, health monitoring and assistance, care for the elderly, transportation, education, and to...
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2023
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my.uniten.dspace-300672023-12-29T15:44:16Z Conversational Agents as Full-Pledged BDI Agents for Ambient Intelligence Mustapha A. Ahmad M.S. Ahmad A. 57200530694 56036880900 55390963300 Application programs Automation Intelligent agents Intelligent buildings Natural language processing systems Ambient intelligence Application area BDI Agent Conversational agents Health monitoring Natural interfaces NAtural language processing Smart homes Artificial intelligence The need for conversational agents based on the Belief-Desire- Intention (BDI) architecture rise to support natural interfaces in many application areas of ambient intelligence, among which are the smart homes, health monitoring and assistance, care for the elderly, transportation, education, and tourism. The objective of this paper is to present an implementation of a conversational agent as a full-pledged BDI agent. This is achieved through mapping the BDI constructs in intelligent agents to the natural language processing components in a classic conversational agent, Eliza. Discussions focus on the process of reengineering the conversational agent technologies into BDI approach. � Springer International Publishing Switzerland 2013. Final 2023-12-29T07:44:16Z 2023-12-29T07:44:16Z 2013 Conference paper 10.1007/978-3-319-00566-9_28 2-s2.0-84883046107 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883046107&doi=10.1007%2f978-3-319-00566-9_28&partnerID=40&md5=55eedae304f4044c36bc3324f13a5693 https://irepository.uniten.edu.my/handle/123456789/30067 219 221 228 Springer Verlag Scopus |
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Application programs Automation Intelligent agents Intelligent buildings Natural language processing systems Ambient intelligence Application area BDI Agent Conversational agents Health monitoring Natural interfaces NAtural language processing Smart homes Artificial intelligence |
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Application programs Automation Intelligent agents Intelligent buildings Natural language processing systems Ambient intelligence Application area BDI Agent Conversational agents Health monitoring Natural interfaces NAtural language processing Smart homes Artificial intelligence Mustapha A. Ahmad M.S. Ahmad A. Conversational Agents as Full-Pledged BDI Agents for Ambient Intelligence |
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The need for conversational agents based on the Belief-Desire- Intention (BDI) architecture rise to support natural interfaces in many application areas of ambient intelligence, among which are the smart homes, health monitoring and assistance, care for the elderly, transportation, education, and tourism. The objective of this paper is to present an implementation of a conversational agent as a full-pledged BDI agent. This is achieved through mapping the BDI constructs in intelligent agents to the natural language processing components in a classic conversational agent, Eliza. Discussions focus on the process of reengineering the conversational agent technologies into BDI approach. � Springer International Publishing Switzerland 2013. |
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57200530694 |
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57200530694 Mustapha A. Ahmad M.S. Ahmad A. |
format |
Conference paper |
author |
Mustapha A. Ahmad M.S. Ahmad A. |
author_sort |
Mustapha A. |
title |
Conversational Agents as Full-Pledged BDI Agents for Ambient Intelligence |
title_short |
Conversational Agents as Full-Pledged BDI Agents for Ambient Intelligence |
title_full |
Conversational Agents as Full-Pledged BDI Agents for Ambient Intelligence |
title_fullStr |
Conversational Agents as Full-Pledged BDI Agents for Ambient Intelligence |
title_full_unstemmed |
Conversational Agents as Full-Pledged BDI Agents for Ambient Intelligence |
title_sort |
conversational agents as full-pledged bdi agents for ambient intelligence |
publisher |
Springer Verlag |
publishDate |
2023 |
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1806425709177995264 |
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13.214268 |