Chatbot Artificial Intelligence
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The document discusses artificial text chatting machines (chatbots). It provides an overview of chatbots, including their history starting with ELIZA from 1966. Common approaches to developing chatbots include pattern matching and using the Artificial Intelligence Markup Language (AIML). The document outlines some challenges in developing human-like intelligence for chatbots and possibilities for future work, before concluding with a demonstration.
Chatbot Artificial Intelligence
- 2. ARTIFICIAL TEXT CHATTING MACHINE (CHATBOT)
- 3. Artificial Text Chatting Machine 12/13/2012 PRESENTED BY Md.Mahedi Mahfuj BIT0207 Mostafizur Rahman BIT0211 Md.Habibur Rahman BIT0216 3
- 4. Artificial Text Chatting Machine 12/13/2012 OVERVIEW Chat Bot Development Challenges & Limitations Future Works Demonstration 4
- 5. Artificial Text Chatting Machine 12/13/2012 CHAT BOT A conversational agent that interacts with users using natural language. -Flavor of chatting with a human being. -Designed to mimic human interaction. -Applications: Customer Services, Call centres, Games, Instant Messenger, Web Navigator, Blogging etc. 5
- 6. Artificial Text Chatting Machine 12/13/2012 HISTORY ELIZA o 1966 o Looks for pronouns and verbs o ‘You’ becomes ‘I’ and vice versa. RACTER o 1984 o Generate English language prose at random o Generated a book The Policeman's Beard. 6
- 7. Artificial Text Chatting Machine 12/13/2012 HISTORY ALICE: 1994 The Artificial Linguistic Internet Computer Entity; a software robot that you can chat with using natural language. ALICE language knowledge is stored in AIML(The Artificial Intelligence Mark up Language) files. 7
- 8. Artificial Text Chatting Machine 12/13/2012 AIML FORMAT < aiml version=”1.0” > < topic name=” the topic” > <category> <pattern>PATTERN</pattern> <template>Template</template> </category> .. </topic> </aiml> 8
- 9. Artificial Text Chatting Machine 12/13/2012 APPROACHES *Pattern Matching (e. g. ALICE) -use of DFS *Use of AIML *First word approach *Most Significant word approach 9
- 10. Artificial Text Chatting Machine 12/13/2012 USES Replace classroom instructions. Homework helpers. For entertainment. Foreign language learning. Information retrieval (FAQ chats over Google ). 10
- 11. Artificial Text Chatting Machine 12/13/2012 USES Miscellaneous: • Access e-commerce sites to find relevant information about products and services(Happy Assistant). • Sanelma (2003) is a fictional person to talk with in a museum. • Rita (real time Internet technical assistant), an eGain graphical avatar, is used in the ABN AMRO Bank to help customer doing some financial tasks such as a wire money transfer. 11
- 12. 12/13/2012 Testing in Cloud 12
- 13. Artificial Text Chatting Machine 12/13/2012 MORE……. Used in Lloyds Banking Group, Royal Bank of Scotland, Renault and Citroën. Misuse found on Yahoo! Messenger, Windows Live Messenger, AOL Instant Messenger and Other instant messaging protocols. Annual contests Loebner Prize and The Chatterbox Challenge. 13
- 14. Artificial Text Chatting Machine 12/13/2012 DEVELOPMENT Platform Development language Rule base Expert system 14
- 15. Artificial Text Chatting Machine 12/13/2012 CHALLENGES & LIMITATIONS Giving human intelligence is almost impossible. Time Constraints Enough Knowledge Limitations A very basic chat bot Should be very specific keyword 15
- 16. Artificial Text Chatting Machine 12/13/2012 FUTURE WORKS More efficient chat bot Voice chatting 16
- 17. Artificial Text Chatting Machine 12/13/2012 DEMONSTRATION 17
- 18. Artificial Text Chatting Machine 12/13/2012 ANY QUESTION 18
- 19. Artificial Text Chatting Machine 12/13/2012 THANK YOU 19