8 Questions
Which of the following best describes an agent in AI?
Anything that can perceive its environment through sensors and act upon that environment through actuators
What is the function of an agent program in AI?
To map percept histories to actions
What is the key factor in determining the rationality of an agent in AI?
The performance measure that defines the criterion of success
What is an agent in AI?
An agent is any entity that perceives its environment through sensors and acts upon that environment through actuators.
What is the function of an agent function in AI?
The agent function maps from percept histories to actions.
What is the key factor in determining the rationality of an agent in AI?
The performance measure that defines the criterion of success.
Which of the following best describes a nondeterministic environment in AI?
The next state is not fully determined by the current state and the agent(s)’ action.
What is the difference between a single-agent and a multiagent environment in AI?
A single-agent environment involves only one agent, while a multiagent environment involves many agents.
Study Notes
Characteristics of Task Environments in AI
- Fully observable task environment gives an agent access to the complete state of the environment at each point in time.
- A task environment could be partially observable due to noisy and inaccurate sensors or missing parts of the state from the sensor data.
- An unobservable environment has no sensors at all.
- A single-agent environment involves only one agent, while a multiagent environment involves many agents.
- A chess game is a competitive multiagent environment, while an automated taxi is a partially cooperative and partially competitive multiagent environment.
- A deterministic environment has its next state completely determined by the current state and the action executed by the agent(s).
- A nondeterministic environment is one where the next state is not fully determined by the current state and the agent(s)’ action.
- A stochastic environment explicitly deals with probabilities, while a nondeterministic environment lists possibilities without quantification.
- In an episodic task environment, the agent’s experience is divided into atomic episodes, while in a sequential environment, the current decision affects all future decisions.
- A dynamic environment can change while an agent is deliberating, while a static environment remains unchanged.
- A discrete environment has a finite number of distinct states, while a continuous environment does not.
- The distinction between a known and unknown environment refers to the agent’s state of knowledge about the “laws of physics” of the environment and the performance measure.
Test your knowledge on Agents and Environments with this quiz! Learn about the different types of agents, such as humans, robots, and softbots, and how they perceive and interact with their environments through sensors and actuators. Explore the agent function and how it maps percept histories to actions. Sharpen your understanding of this fundamental concept in artificial intelligence with this informative quiz!
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