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KMS,ES,AI & VR - Coggle Diagram
KMS,ES,AI & VR
Knowledge management system(KMS)
Stores and process knowledge
Used almost in every industry
purpose
KMS is an organized collection of people, procedure, software, database and devices used to create, store, share and use the organizational knowledge and experience Stores and process knowledge
Knowledge is an awareness and understanding of information can be useful to support specific task or reach a decision
2 type of knowledge
Explicit knowledge
Knowledge that can be measure and documented in report, papers and rules; objective (formal)
Tacit knowledge
Knowledge that is hard to measure, hard to documented; not objective (not formal)
VIRTUAL REALITY
It enables one or more users to move and react in a computer-simulated environment
Can represent any 3D setting, real or abstract
User can gain deeper understanding of the virtual world’s behaviour and functionality
Related term is augmented reality
Artificial intelligence (AI)
Intelligent behavior characteristics
Able to learn from experience
Able to apply knowledge to new experience
Able to handle complex situation
Able to determine relevant information
Able to give quick response
Able to understand visual images and symbols
Able to rapidly calculate, give accurate result even for complex calculations
purpose
is computers with the ability to mimic or duplicate the functions of human brain
Artificial intelligence (AI) includes several key components
Expert system
System that behave as a human expert would do in a specialized area
Robotics
Uses mechanical or computer devices to perform tedious or hazardous task for human
Vision system
Permit computer to capture, store and manipulate images
e.g. face recognition system)
Learning system
Allow computer to change how it functions @ reacts to situations based on feedback it receives
e.g. computerized chess game
Neural network
System that can simulate the function of human brain
e.g. disease diagnostic system
Genetic algorithm
Approach to solve large, complex problems
Natural language processing
e.g. English language
Allow computer to understand and react to statements and commands from ‘natural’ language
Expert Systems
purpose
Can explain their reasoning or suggested decisions.
Can display intelligent behavior.
Can draw conclusions from complex relationships
Can provide portable knowledge.
When to Use Expert Systems
Provide a high potential payoff or significantly reduced downside risk.
Capture and preserve irreplaceable human expertise.
Provide expertise needed at a number of locations at the same time or in a hostile environment that is dangerous to human health.
Provide expertise that is expensive or rare.
Develop a solution faster than human experts can
Provide expertise needed for training and development to share the wisdom of human experts with a large number of people.
Components of Expert Systems
inference engine
seeks information and relationships from the knowledge base and provides answers, predictions, and suggestions in the way a human expert would
Rule
a conditional statement that links given conditions to actions or outcomes
knowledge base
stores all relevant information data ,rules, cases, and relationships used