1. Intelligent Agent
By: Kian Yousefi

2. Intelligent Agent
In artificial intelligence, an intelligent agent (IA) is which observes and acts upon an environment (i.e. it is an agent) and directs its activity towards achieving goals (i.e. it is rational). Intelligent agents may also learn or use knowledge to achieve their goals.

3. Intelligent Agent
An intelligent agent is software that assists you, or acts on your behalf, in performing repetitive computer related tasks
i.e. clippie (the annoying Microsoft paperclip)
i.e. Amazon’s recommendation system
The four main types of intelligent agents are:
buyer agents or shopping bots,
user or personal agents,
monitoring and surveillance agents,
data mining agents

4. Buyer Agent or Shopping Bots (Information Agents)
Is an intelligent agent on a web site that helps the customer, find products and services they want.
Shopping bots work very efficiently when it comes to searching for commodity products.

5. Types of Buyer agents
There are three types of buyer agents for online shopping environments:
Profile filtering
Psychographic filtering
Adaptive filtering
These agents use different methods to find recommendations for the customers.

6. Types of Buyer agents
Profile filtering requires that you choose terms or enter keywords
Provides a more personal picture of you and your preferences
Psychographic filtering anticipates your preferences on the basis of the answers you give to questionnaire
Adaptive filtering asks you to rate products or situations and also monitors your actions over time to find out what you like and dislike

7. Buyer agents or shopping bots (example)
CNET's shopping bot focuses on computers and other types of consumer electronics, including wireless devices. One of the earliest shopping bots, Price Watch has allowed shoppers to search for computers and computer parts since 1995.

8. Buyer agents or shopping bots (example)
Amazon’s agent uses collaborative filtering, which consists of matching each customer with a group of users who have similar tastes and presents them with similar products.

9. Buyer agents or shopping bots (example)
BookFinder.com searches Amazon, Antiqbook, Barnes and Noble, Bibliofind, and other online book retailers. A combined database of roughly 15 million books to find the cheapest book prices for shoppers.

10. Monitoring and Surveillance Agents (Predictive Agents)
Are intelligent agents that observe and report on equipment
These agents look for a change in conditions
Often used to monitor manufacturing equipment, complex computer networks, inventory, planning, etc.
May also be used to monitor competition, Internet sites, discussion groups, mailing lists, products, and auction sites

11. Monitoring agents (Example)
NASA's Laboratory has an agent that monitors inventory, planning, and schedule equipment ordering. This assures that everything is ordered on time and keeps cost low.

12. Monitoring agents (Example)
Allstate Insurance has a network with thousands of computers. The company uses a network monitoring agent that watches its huge networks 24 hours a day. Every five seconds, the agent measures 1200 data points and can predict a system crash 45 minutes before it happens.

13. Data Mining Agents
These intelligent agents operate in a data warehouse and work to discover information
A common type of data mining is classification
which finds patterns of information and categorizes items into those classes

14. Data Mining Agents Data mining agents
Go through a lot of information for relevant information
Detect a major shift in the trend or a key indicator
Detect the presence of new information and alert you

15. User or Personal Agents
Intelligent agents that take action on your behalf. For example,
Check your , sort it and alert you of important s
Play computer games as your opponent or patrol game areas for you
Assemble customized news reports
Find information on subjects
Fill out web forms
Scan web pages and highlight important text

16. Features of Personal Agents
Adaptability: Personal agents must be able to learn the user’s behavior, the users habits and preferences, and be able to adapt to them,
Information Sharing: often user’s personal agents will find it beneficial to share information with each other rather than simply work alone.

17. Agent Collaboration: Personal agents may need to collaborate with each other to perform tasks for their users.
Information Privacy: Users must trust their personal agents. These agents have access to the users personal information since in a lot of cases they are performing actions on behalf of the user.

18. Haag & Cummings & McCubbrey & Pinsonneault & Donovan (2006)
Haag & Cummings & McCubbrey & Pinsonneault & Donovan (2006). Management Information Systems Third Canadian Ed. McGraw-Hill Ryerson

19. Time’s Up! About your speaker: Name: Kian Yousefi
Prepared: Michael Jones CCT355
Quick bio: 3rd year digital enterprise management student.