WGU D429 - Section 1 exam with
question and answer 100 % correct
artificial intelligence (AI) machine-driven, human-like intelligence and problem-
solving systems
intelligence the ability to understand, apply knowledge,
and solve complex problems
rationality the ability to make sound decisions
Turing test a thought experiment that decides a computer's
ability to respond as a human
natural language processing a computer's ability to communicate in human language
knowledge representation the ability to store information
automated reasoning the computer's ability to answer questions and draw
new conclusions
machine learning (ML) the field of study that gives computers the ability to
learn from data without being explicitly programmed
total Turing test evaluates a machine's intelligence by assessing its
ability to not only communicate in natural language
but also perceive and interact with the physical world
and become
indistinguishable from a human
computer vision a field of computer science that focuses on enabling
computers to find and understand objects and people
in images and videos
robotics the ability to manipulate and move objects
dualism posits the existence of two distinct and independent
realities
empiricism emphasizes knowledge acquisition through sensory
experiences and observations
induction involves drawing general conclusions from
specific observations
AI observation sentence a statement generated by an AI system based on its
analysis of data, reflecting the AI's interpretation of
observed patterns or trends
legal positivism a theory of laws where rules are created by humans
and valid based on legitimate authority
, neural networks 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
ethical artificial intelligence considers that the study and use of AI technologies
should follow ethical rules to ensure fairness,
transparency, and accountability
agent anything that can be viewed as perceiving its
environment through sensors
environment the part that affects what an agent perceives
actuators a device that causes motion (robotic movement)
percept the content of an agent's sensors
percept sequence the history of everything an agent has perceived
agent function maps percept sequence to actions
task environment specific setting or context in which an AI agent
operates and performs its designated tasks
PEAS performance, environment, actuators, sensors
software agent a computer program that acts for another user or
program in a relationship with an agent
softbot a program that issues commands within a software
environment and interprets feedback
fully observable occurs when sensors detect all aspects that are
relevant to the choice of an action
partially observable occurs when parts of a state are missing from sensor
data
unobservable when an agent has no sensors
single agent one agent performing a task
multiagent when two or more agents perform a task together
competitive maximizes agent performance measures by avoiding
the pitfalls of predictability
cooperative allows single-space occupancy
deterministic when the state of an environment is completely
decided by the current state and action executed by
question and answer 100 % correct
artificial intelligence (AI) machine-driven, human-like intelligence and problem-
solving systems
intelligence the ability to understand, apply knowledge,
and solve complex problems
rationality the ability to make sound decisions
Turing test a thought experiment that decides a computer's
ability to respond as a human
natural language processing a computer's ability to communicate in human language
knowledge representation the ability to store information
automated reasoning the computer's ability to answer questions and draw
new conclusions
machine learning (ML) the field of study that gives computers the ability to
learn from data without being explicitly programmed
total Turing test evaluates a machine's intelligence by assessing its
ability to not only communicate in natural language
but also perceive and interact with the physical world
and become
indistinguishable from a human
computer vision a field of computer science that focuses on enabling
computers to find and understand objects and people
in images and videos
robotics the ability to manipulate and move objects
dualism posits the existence of two distinct and independent
realities
empiricism emphasizes knowledge acquisition through sensory
experiences and observations
induction involves drawing general conclusions from
specific observations
AI observation sentence a statement generated by an AI system based on its
analysis of data, reflecting the AI's interpretation of
observed patterns or trends
legal positivism a theory of laws where rules are created by humans
and valid based on legitimate authority
, neural networks 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
ethical artificial intelligence considers that the study and use of AI technologies
should follow ethical rules to ensure fairness,
transparency, and accountability
agent anything that can be viewed as perceiving its
environment through sensors
environment the part that affects what an agent perceives
actuators a device that causes motion (robotic movement)
percept the content of an agent's sensors
percept sequence the history of everything an agent has perceived
agent function maps percept sequence to actions
task environment specific setting or context in which an AI agent
operates and performs its designated tasks
PEAS performance, environment, actuators, sensors
software agent a computer program that acts for another user or
program in a relationship with an agent
softbot a program that issues commands within a software
environment and interprets feedback
fully observable occurs when sensors detect all aspects that are
relevant to the choice of an action
partially observable occurs when parts of a state are missing from sensor
data
unobservable when an agent has no sensors
single agent one agent performing a task
multiagent when two or more agents perform a task together
competitive maximizes agent performance measures by avoiding
the pitfalls of predictability
cooperative allows single-space occupancy
deterministic when the state of an environment is completely
decided by the current state and action executed by
