INTRODUCTION TO AI FOR COMPUTER
SCIENTISTS EXAM SCRIPT WITH VERIFIED
QUESTIONS AND ANSWERS
●● What is a rational agent?
Answer: an agent that acts so as to achieve the best outcome, or best
expected outcome
●● Dualism
Answer: A philosophical idea that suggests two separate things: the mind
and the body
●● Empiricism
Answer: A way of thinking that values experience and observation as the
best ways to gain knowledge.
●● Induction
Answer: A method of reasoning where specific examples are taken and
made into a general conclusion or prediction
●● AI observation sentence
Answer: how an AI system sees and understands information from the
world.
,●● Legal positivism
Answer: The legal theory that focuses on keeping law and morality
separate.
●● Artificial intelligence
Answer: this is the development of computer systems that simulate
human intelligence processes to perform tasks that once required human
input
●● neural networks
Answer: Computational models inspired by the human brain, consisting
of interconnected layers of nodes that process and learn from data to
recognize patterns and make predictions.
●● What are common tasks of AI agents? (8)
Answer: Sensing
Thinking and Deciding
Learning
Planning
understanding Language
Storing Knowledge
Communicating
,Working Independently
●● What are common agent types? (5)
Answer: Simple Reflex Agents
Model-Based Reflex Agents
Goal-Based Agents
Utility-Based Agents
Learning Agents
●● What are the components of the learning agent?
Answer: The learning agent, the performance element, and the problem
generator.
●● What is the learning element of a learning agent?
Answer: it is responsible for making improvements of the agent.
●● What is the performance element of a learning agent?
Answer: it is responsible for selecting the external actions. It takes in
percepts and decides on actions.
●● What is the problem generator of a learning agent?
Answer: It is responsible for suggesting actions that will lead to new and
informative experiences.
, ●● Percept
Answer: The content of an agent's sensors
●● Percept Sequence
Answer: The history of everything an agent has perceived
●● Task environment
Answer: Specific setting or context in which an AI agent operates and
performs its designated tasks
●● Fully Observable Environment
Answer: Occurs when sensors detect all aspects that are relevant to the
choice of an action.
●● Partially Observable Environment
Answer: Occurs when parts of a state are missing from sensor data
●● Unobservable Environment
Answer: When an agent has no sensors
●● Single Agent
Answer: One agent performing a task
SCIENTISTS EXAM SCRIPT WITH VERIFIED
QUESTIONS AND ANSWERS
●● What is a rational agent?
Answer: an agent that acts so as to achieve the best outcome, or best
expected outcome
●● Dualism
Answer: A philosophical idea that suggests two separate things: the mind
and the body
●● Empiricism
Answer: A way of thinking that values experience and observation as the
best ways to gain knowledge.
●● Induction
Answer: A method of reasoning where specific examples are taken and
made into a general conclusion or prediction
●● AI observation sentence
Answer: how an AI system sees and understands information from the
world.
,●● Legal positivism
Answer: The legal theory that focuses on keeping law and morality
separate.
●● Artificial intelligence
Answer: this is the development of computer systems that simulate
human intelligence processes to perform tasks that once required human
input
●● neural networks
Answer: Computational models inspired by the human brain, consisting
of interconnected layers of nodes that process and learn from data to
recognize patterns and make predictions.
●● What are common tasks of AI agents? (8)
Answer: Sensing
Thinking and Deciding
Learning
Planning
understanding Language
Storing Knowledge
Communicating
,Working Independently
●● What are common agent types? (5)
Answer: Simple Reflex Agents
Model-Based Reflex Agents
Goal-Based Agents
Utility-Based Agents
Learning Agents
●● What are the components of the learning agent?
Answer: The learning agent, the performance element, and the problem
generator.
●● What is the learning element of a learning agent?
Answer: it is responsible for making improvements of the agent.
●● What is the performance element of a learning agent?
Answer: it is responsible for selecting the external actions. It takes in
percepts and decides on actions.
●● What is the problem generator of a learning agent?
Answer: It is responsible for suggesting actions that will lead to new and
informative experiences.
, ●● Percept
Answer: The content of an agent's sensors
●● Percept Sequence
Answer: The history of everything an agent has perceived
●● Task environment
Answer: Specific setting or context in which an AI agent operates and
performs its designated tasks
●● Fully Observable Environment
Answer: Occurs when sensors detect all aspects that are relevant to the
choice of an action.
●● Partially Observable Environment
Answer: Occurs when parts of a state are missing from sensor data
●● Unobservable Environment
Answer: When an agent has no sensors
●● Single Agent
Answer: One agent performing a task
