Chapter 13 Flashcards
What is AI?
Related technologies trying to simulate and reproduce human thought behavior
What does computers require which AI can provide?
Knowledge
Perception
Reasoning
Understanding
Cognitive abilities
What must computers be able to do to achieve AI?
-Understand common sense
-Understand facts and manipulate qualitative data
-Deal with exceptions and discontinuity
-Interact with humans in their own language
-Deal with new situations based on past learning
How does AI support decision making?
Computers used to do the following analyses:
-What is? (What happened in the past)
-What if? (What are possible outcomes based on inputs)
Now extending to more intuitive questions
-Why?
-What could we possibly do differently?
-How to fix it?
-When?
What is robotics?
Not intelligent (yet)
Good at repetitive tasks
Usually very specialised (sorting, manufacturing)
What are the advantages of robotics?
Not emotional
Consistent
Work in hazardous environments
No HR issues
Works 24/7
What are soft robots?
-Not conventional hard materials
-Useful in certain fields (Picking fruit, dealing with humans)
What are expert systems
-mimic human expertise
-in specific where humans solved problems in the past
(Identifying illnesses, granting credit)
What are the components of an expert system?
Knowledge acquisition facility
Incorporates new rules and knowledge
Facilitates growth
Knowledge database
Similar to database
Includes rules
Heuristic knowledge
Rules related to the problem
Explanation facility
Explains answer to end-users
What are the uses of expert systems?
- Information management
- Help desks management
- Employee performance evaluation
- Loan analysis
- Warehouse optimization
- Planning and scheduling
- The configuration of manufactured objects
- Financial decision making
- Process monitoring and control
- Supervise the operation of the plant and controller
- Airline scheduling & cargo schedules
When are Expert Systems used?
- Lots of human expertise needed
But difficult for one person to know it all - Knowledge must be representable as rules
- Humans must be able to perform tasks already
- Must be standardized issue with solutions
- Limited in scope (domain)
- Must involve many rules
- Shortage of human experts
What is case-based reasoning?
New problems solved looking at previous solutions to similar problems
-Retrieve past cases
-Reuse solutions
-Revise cases and solutions
-Retain new solution for future use
What are Intelligent Agents?
-Bots / Virtual agents / Intelligent virtual agents
-Appears to be able to reason
-Follows a rules-based process
What are the characteristics of Intelligent agents?
Adaptable
Autonomous
Collaborative
Humanlike interface
Mobile (between platforms)
Reactive
What are some examples of Intelligent agents?
-Shopping agents
Pricecheck.co.za
-Personal agents
Gmail’s suggested responses to emails
Android’s suggested responses to SMS’s
-Data-mining agents
-Siri/Alexa/Google Assistant