artificial intelligence quiz

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characteristics of an intelligent agent

autonomy, adaptivity, sociability

cube

common term for the representation of multidimensional information

examples of fuzzy logic

washing machines that wash until the water is 'clean'

an expert system is an

artificial intelligence system that applies reasoning capabilities to reach a conclusion - you provide the facts it solves the problem

crossover

combining portions of good outcomes in the hope of creating an even better outcome

information agents

search for information and bring it back to you

a genetic algorithm can find

the best or optimal answer

a neural network is an

AI system which is capable of learning because it is patterned after the human brain, it uses parallel processors (pattern recognition) key word is learning

expert systems

Computerized advisory programs that imitate the reasoning processes of experts. they consist of a knowledge base and set of rules to apply to a situation

compare decision support system with AI:

DSS is actively involved with the system, relies on user expertise, the user makes the ultimate decision/choice AI: user is not actively involved - expertise is built into the system, the system makes the ultimate decision

monitoring and surveillance agents

constantly observe and report back on what they see

takes something user does not know and applies rules to indicate what to do

expert system

which form of AI uses if statements and user answers to questions in order to reason just like a human does?

expert system

what is the most common form of AI in a business?

expert systems

what system uses 'if' statements

expert systems to determine what is 'known'

T/F expert systems can learn and change their own programming

false

what works to find optimal solution?

genetic algorithm

artificial intelligence

is the science of making machines imitate human thinking and behavior - reasoning -being able to adapt - ability to solve a problem

neural networks

mimic the way the brain works, analyzes large quantities of data and info to establish patterns and relationships

the concepts of evolution in genetic algorithm

selection, crossover, mutation

user agents

take action on your behalf

what can expert systems not do?

1. handle all types of domain expertise, can't put everything into machine form 2. can't solve problems in areas not designed for, can't learn to solve new things 3. apply common sense or judgement to a problem

genetic algorithms

mimic the evolutionary, survival-of-the-fittest process to generate increasingly better solutions to a problem - work to find the best/optimal answer

can learn and recognize patterns and can apply that learning to the unknown

neural Network

what network detects fraud detection?

neural network

what network can change?

neural networks

can an expert system be biased?

only if you program in bias

data mining agents

operate in a data warehouse discovering information (relationships and patterns)

selection

or survival of the fittest. the key is to give preference to better outcomes

mutation

randomly trying combinations and evaluating the success or failure of the outcome

neural networks can

recognize problems

expert systems apply

rules to solve a problem

an intelligent agent

senses its environment and then carries out some operations on behalf of a user

types of intelligent agents

-Information -Monitoring and Surveillance or predictive -Data mining -User

what kind of tasks do expert systems perform?

1. auditing and tax planning 2. diagnosing illnesses 3. managing forest resources 4. evaluate credit and loan applications etc

what can expert systems do?

1. handle massive amounts of info and provide new info 2. draw conclusions from complex relationships 3. explain reasoning 4. provide consistency in decision making 5. improve customer service 6. reduce errors and costs 7. provide portable knowledge

neural networks can be used to

1. typically used to combat attempts at fraud 2. able to detect money laundering attempts 3. make investment decisions

AI is never

DSS

where are the letter located? A and B by x and Y

X is in the row position Y is in the column A and B are data points/values

fuzzy logic

a special field of computer science that allows for shades of gray and doesn't require conditions to be black/white yes/no or true/flase

intelligence agents

accomplish a specific task for the user

an intelligent agent can

act on behalf of someone else

monitoring and surveillance agents are

constantly observing and reporting back, such as spell checker, grammar check

the intelligent agent will

take your profile and preferences and then go out and work on your behalf


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