44 Questions
What was the significance of the 13 registers in the early computing machine?
Demonstrated the ability of a black box to accept inputs and produce outputs
According to Descartes, what is the foundation for AI objectives?
Formulating objectives using equations
Who associated rationalism and materialism as two sides of the same coin?
Descartes
What similarity did Thomas Hobbes draw between human reasoning and machine computations?
Employing operations similar to calculus
What is graphically represented by a learning curve?
Ratio between learning outcome and time required
Which philosopher emphasized the importance of progress in computing as a necessary precondition for AI development?
Descartes
What is the primary difference between Artificial Narrow Intelligence (ANI) and Artificial General Intelligence (AGI)?
AGI seeks to encompass all human cognitive abilities, while ANI is limited to single tasks.
What is one aspect that is commonly associated with AGI according to the text?
Domain-independent generalization
Which of the following is NOT mentioned as a goal of AGI in the text?
Developing algorithms for specific problems
What distinguishes ANI from AGI in terms of problem-solving capabilities?
ANI is trained for a limited number of problems, while AGI aims for universal problem-solving.
What additional attribute might some philosophical sources require from AGI beyond cognitive abilities?
Motivation and volition
Which statement best describes the level of problem-solving complexity between ANI and AGI?
AGI surpasses ANI in complexity by being able to generalize knowledge across different domains.
What is the primary purpose of using modern technologies to segment customer behavior on a street-by-street basis?
To fine-tune operations and decide on store closures
What is the purpose of the development set in the context of evaluating AI systems?
To evaluate and optimize the model developed using the training set
What is a crucial requirement when evaluating AI systems?
All data sets must be independent from each other
What is the primary purpose of the training data set in the context of AI systems?
To fit the parameters of an algorithm during the training process
According to the passage, what is a key factor in the recent improvement of AI systems?
Improvements in natural language processing technologies
What is the key difference between ANI and AGI?
ANI is limited to a specific domain, while AGI can transfer knowledge across domains
What are some of the use cases for AI mentioned in the text?
All of the above
In the labyrinth example, what are the four actions a person can perform?
Move up, down, left, or right
What is the key challenge the person faces in the labyrinth example?
All of the above
What were some severe shortcomings of perceptrons as a popular model of neural-inspired AI in the early systems?
Could not represent simple logical functions such as XOR.
What major event contributed to the start of the second AI winter around 1987?
Collapse of the Lisp machine business.
Why was it not possible to develop early successful examples of expert systems beyond a certain point?
The growth of fact databases became unmanageable and results were unreliable with unknown inputs.
What were some of the key reasons for the limitations in developing early successful expert systems?
Unmanageable growth of fact databases and unreliable results with unknown inputs.
Which Greek philosopher's early thoughts date back to artificial intelligence?
Aristotle
What is the cycle that has caused ups and downs in AI research over the past decades?
Gartner hype cycle
Which phase has not been reached by any AI topics yet?
Plateau of productivity
What distinguishes artificial narrow intelligence (ANI) from artificial general intelligence (AGI) in terms of problem-solving capabilities?
ANI is weak AI, while AGI is strong AI
What is the primary difference between artificial narrow intelligence (ANI) and artificial general intelligence (AGI)?
ANI focuses on specific tasks, while AGI aims for general intelligence
What is the term used to describe the use of AI capabilities like machine learning in at least one business function?
AI adoption
According to McKinsey & Company (2021), what are the main fields of AI adoption?
High Tech/Telecom, Automotive and Assembly, Financial Services, Business, Legal and Professional Services, Healthcare/ Pharma and Consumer Goods/Retail
What is one application area of AI mentioned for High Tech and Telecommunication industries?
Optimizing and automating networks
What is the key benefit of using AI in predictive maintenance for networks?
Fixing network issues before they occur
What can self-optimizing networks accurately predict, according to the text?
Network anomalies
What is the key factor driving the rapid growth of AI in telecommunication?
Constant increase of global network traffic and network equipment
What is the process of learning by reward called?
Reinforcement learning
How many techniques are there to train a specific learning model in machine learning?
Three
What is the primary application area for supervised learning?
Regression and classification problems
What is a typical requirement for supervised learning algorithms?
Pre-labeled training data
What are the three techniques to train a learning model in machine learning?
Supervised, unsupervised, and reinforcement learning
What is the key challenge faced by a person in the labyrinth example?
Avoiding stepping on dangerous fields
What kind of algorithms can help optimize the learning experience in reinforcement learning?
Q-learning
What are the main ideas that will be covered in this unit regarding reinforcement learning?
Basic ideas and underlying principles
Explore the course book for DLBDSEAIS01 on Artificial Intelligence published by IU International University of Applied Sciences. Dive into topics related to artificial intelligence concepts, theories, and applications discussed in the book.
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