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Chapter 7 Intelligent Agent

Chapter 7 Intelligent Agent. Objectives. Understanding IA concept To explain the network connection in a matric. IA application. Intelligent Agent. Introduction. • Agent “receive an input from the environment through a sensor (receiver) and react automatically to the input received.”

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Chapter 7 Intelligent Agent

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  1. Chapter 7Intelligent Agent

  2. Objectives • Understanding IA concept • To explain the network connection in a matric. • IA application

  3. Intelligent Agent

  4. Introduction • • Agent • “receive an input from the environment through a sensor (receiver) and react automatically to the input received.” (Rusell & Norvig, 1995) • • To think about something that can help automatically

  5. Basic idea… Sensor Receiving Environment Action Connector Agent = Environment  Action

  6. Agent diversion • • Interface agent • - through interface application • • Multi agent system • More than an agent in the network. • • Animated Agent • • Autonomous Agent / Robotic • • Mobile agent

  7. Agent taxonomy

  8. Agent construction • • IA design need for a • Performance measure :  result or application cause • Environment :  entity interact with the agent • Connector: entity that display the agent behaviour. • Sensor:  entity that can provide an input to the agent

  9. Eg:Application • • Application : an agent for diagnosis system • Result: healthy patient, cheap cost, accurate diagnosis. • Environment: medical staff, medicines, hospital, patient • Connector: display screen (test, diagnosis, treatment) • Sensor: entry from the keyboard (symptom, discovery, patients’ answer)

  10. Example The computer do the diagnosis and display the result Entry Patient data Print out or other output Treatment information

  11. Eg: Chatting Agent (Eliza)

  12. Example: PEAGENT • Web based interactive agent • Developed in AISIG, FTM • Receive APMITTA 2000 Merit Award • • Development • Data structure and Algorithm analysis learning\ • Implement 4 animated agent as a virtual tutor • Communicating in BM

  13. Architecture of PEAGENT

  14. PEAGENT interface

  15. Other examples.. • E-mail agents (e-mail prioritization and checking) ~ MAXIMS, Top of Mind & Beyond Mail, CARNIVORE (FBI). • Web Browsing Assistant (facilitate browsing, managing hyperlinks) ~ LETIZIA, NetComberActivist (IBM), Froogle, Copernic Agents. • Searching Agent (web robots, spiders ~ to search the web) ~ Lycos, Excite, Google, Web Crawler. • Network Management & Monitoring (to manage, diagnose, security checking) ~ Patrol Application Manager, WatchGuard (Seattle Software Lab), AlertView (Intel Corp.), • Collaboration (automation and sharing of group task) ~ Notes Agent (Lotus Note)

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