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Pertemuan 21 Software Agents for E-Commerce

Pertemuan 21 Software Agents for E-Commerce. Matakuliah : M0284/Teknologi & Infrastruktur E-Business Tahun : 2005 Versi : <<versi/revisi>>. Learning Objectives. Describe what software agents are Differentiate between various classes of software agents

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Pertemuan 21 Software Agents for E-Commerce

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  1. Pertemuan 21Software Agents for E-Commerce Matakuliah : M0284/Teknologi & Infrastruktur E-Business Tahun : 2005 Versi : <<versi/revisi>>

  2. Learning Objectives • Describe what software agents are • Differentiate between various classes of software agents • Understand the use of artificial intelligence and statistical reasoning • Describe the range of agents available to assist in the buying process • Identify various activities in e-commerce where software agents can be used

  3. Overview • What are software agents? • Logic of agent behavior • Types of agents • Information agents • E-Commerce agents • Mobile agents

  4. Software entities Autonomy/agency - without detailed commands Purposeful - goal-driven Reactive - react to changes in environment. Exhibit intelligence Social and Mobility skill - travel around and interact with other agents What are software agents?

  5. What are Software Agents?

  6. Logic of Agent Behavior • Symbolic Reasoning if <condition> then <action> • BeyondMail from Banyan 1) IF <event='mail_receipt'> AND < email_sender=’CEO’> THEN <save_in_folder=’Urgent’> 2) IF <save_in_folder NOT Empty> THEN <notify>

  7. Logic of Agent Behavior • Statistical Reasoning • Market Segmentation • Clustering according to some characteristics such a buying behavior, demographic data • Also called Collaborative filtering • Used by Amazon.com to predict books that might prove to be your favorite

  8. Logic of Agent Behavior • Multi-attribute utility theory used to rank-order different choices such as items to buy Utility is related to various quality, price and delivery attributes Utility numbers are calculated for various choicesVarious formulas used: U(x)= log( x+ b) U(x)= a + bx + cx2 U(x) = (1/k) (1- e –kx) where U is the utility and x is the measure of the attribute. In the case of an automobile, x could be price, quality or fuel economy.

  9. Logic of Agent Behavior • Constraint Satisfaction Approach • A way to prune a large set of choices • Hard and Soft constraints • Options/ choices that violate hard constraints are removed • Options left are evaluated in terms of how far soft constraints violated

  10. Logic of Agent Behavior • Auction Protocols • English auction price start low and move up • Dutch auction price start high and move low • Sealed-bid auction offers in sealed envelopes

  11. Logic of Agent Behavior Auction Engines used in e-business

  12. Types of Software Agents • Information Agents • E-Commerce Agents • Mobile Agents

  13. Information Agents • Information Search Agents search engines • Information filtering agents search few specific web site and retrieve information relevant to a user

  14. Information Agents Logic of filtering agents

  15. Information Delivery Agents Pull versus Push (scheduled pull). In push, the client-based software periodically contacting the server for recent news Information Agents

  16. Information Agents • Information Notification Agents • message arrives by email

  17. Information Agents • Information Reconnaissance Agents • Letizia at MIT brings to attention to users pages of interest that are only a few links away from the current page • The system builds up a interest profile of the user and searches neighboring pages of interest

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