Lecture 9 part2

Which of the following statements about genetic algorithms is not true?

• Genetic algorithms are based on techniques inspired by evolutionary biology
• Genetic algorithms are used to solve problems that are very dynamic and complex, involving hundreds or thousands of variables or formulas
• Genetic algorithms are able to evaluate many solution alternatives quickly to find the best one.
• Genetic algorithms use an iterative process to refine initial solutions so that better ones are more likely to emerge as the best solution
• Genetic algorithms discover knowledge by using hardware and software that parallel the processing patterns of the biological or human brain

Which of the following is a type of intelligent technique?

• Digital asset management
• Neural network
• CAD
• Augmented reality
• LMS

Which of the following techniques is used for knowledge acquisition?

• Decision support systems
• Transaction processing systems
• CAD
• Data mining
• Content management system

Which of the following is a computer-based system that attempts to emulate how humans think and act?

• Virtual reality systems
• Neural networks
• AI technology
• Genetic algorithms
• LMS

An inference engine is:

• a neural network that can make inferences
• the programming environment of an expert system
• a method of organizing expert system knowledge into chunks.
• a strategy used to search through the collection of rules and formulate conclusions.
• a programming algorithm used to create a virtual world using a deep learning system.

Which of the following is not true about AI technologies?

• AI programs today have mastered common sense thinking similar to humans
• AI can recognize human speech with only a 6 percent error rate
• Speech recognition is used in intelligent personal assistants like Siri and Alexa.
• AI programs can recognize faces.
• AI systems take data from the environment, and produce outputs like other computer programs.

Machine learning systems:

• use machines to master a body of knowledge
• rely on expert systems to identify learning objectives
• find patterns in large data sets
• simulate the neurons in human brains to find patterns
• are currently not useful for organizations

Which of the following has a large number of sensing and processing nodes that continuously interact with each other?

• Business intelligence systems
• Expert systems
• Neural networks
• Knowledge management systems
• Genetic algorithm

Genetic algorithms:

• develop solutions to particular problems using inheritance, crossover, and mutation
• represent knowledge as groups of characteristics
• do not work for most problems
• are based on logic
• seek to emulate a human expert's way of solving problems

Software programs that work without direct human intervention to carry out specific tasks for individual users, business processes, or software applications, are called:

• intelligent agents
• intelligent techniques
• business intelligence
• AI hybrid systems
• genetic algorithms