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Because neural network applications cannot always explain why they arrive at a particular solution,they are not well suited for use in the medical profession.

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How can knowledge be gathered from the personal and undocumented expertise of professionals within a firm? List at least four ways to gather and disseminate such knowledge.

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The expertise and experience of firm emp...

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Expert systems are one of the tools used for knowledge storage.

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What type of intelligent technique helps Netflix develop a personalized selection of videos for customers?


A) Machine learning
B) Intelligent agents
C) Genetic algorithms
D) Neural networks
E) Deep learning neural networks

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Intelligent agents rely on:


A) agent-based modeling.
B) MOOC.
C) augmented reality.
D) virtual reality systems.
E) machine learning.

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Unsupervised machine learning involves:


A) using very large databases to store common sense knowledge,then searching the database for patterns.
B) using algorithms to simulate the neurons and synapses of human brains.
C) programs that can detect digital photos of human faces and cats without humans labeling the input photos.
D) using labeled inputs identified by humans to recognize objects.
E) using genetic algorithms to identify patters in large datasets.

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Today's 3-D printers can create objects out of human cartilage.

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The set of business processes,culture,and behavior required to obtain value from investments in information systems is one type of:


A) knowledge culture.
B) knowledge discovery.
C) organizational and management capital.
D) organizational routine.
E) knowledge.

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Intelligent agents can discover underlying patterns,categories,and behaviors in large data sets.

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Changing organizational behavior by sensing and responding to new experience and knowledge is called:


A) change management.
B) knowledge leveraging.
C) the knowledge value chain.
D) organizational learning.
E) knowledge management.

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The collection of expert rules developed by expert systems is referred to as:


A) the knowledge base.
B) a deep learning neural network.
C) a genetic algorithm.
D) Internet of Things (IoT) .
E) artificial intelligence.

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Structured knowledge is explicit knowledge that exists in formal documents and formal rules.

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Computer vision systems rely on which of the following intelligent techniques?


A) Genetic algorithms
B) Expert systems
C) Database programs
D) Intelligent computer agents
E) Pattern recognition

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While systems such as KWS can manage semistructured and unstructured information,enterprise-wide content management systems are designed to manage only a firm's structured information.

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Deep learning neural networks can learn as well as humans.

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Which of the following techniques is used for knowledge acquisition?


A) Decision support systems
B) Transaction processing systems
C) CAD
D) Data mining
E) Content management system

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Which of the following statements about robotics is not true?


A) Robotics involves the creation and use of machines than can substitute for humans.
B) Robotics relies on sensors to provide vision and sensory feedback.
C) Robotics can be used for surgery,bomb deactivation,and other dangerous environments.
D) Robotics does not require programming but instead relies solely on AI.
E) Robotics has widespread use in the automobile industry.

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Which of the following is the first step in the knowledge management value chain?


A) Feedback
B) Acquire
C) Disseminate
D) Store
E) Apply

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


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

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Describe some of the ways we use machine learning technologies every day.

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Machine learning is omnipresent in moder...

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