CS 460 Artificial Intelligence Lecture 2 Quiz

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What is a characteristic of a dynamic environment?

The environment may change over time

In a single agent system, what does an episode refer to?

A single question and answer

How can a goal in a system change over time?

The goal might also change over time

What makes an environment dynamic in the context of multi-agent systems?

The presence of other agents Signup and view all the answers

Differentiate between a discrete and a continuous environment.

Discrete environments have fixed steps, while continuous environments involve continual changes. Signup and view all the answers

Provide an example of a game that represents a discrete environment.

Chess Signup and view all the answers

What is the difference between fully observable and partially observable environments?

Fully observable environments allow agents to detect all aspects relevant to their actions, while partially observable environments may have hidden information or limited sensor capabilities. Signup and view all the answers

Give an example of a fully observable environment.

Chess is an example of a fully observable environment where the board and opponent's moves are visible to the player. Signup and view all the answers

Why are other agents' intentions often not observable in multi-agent systems?

In multi-agent systems, other agents' intentions are often not observable because only their actions are visible to external agents. Signup and view all the answers

What is the significance of sequential episodic environments?

In sequential episodic environments, the current action's outcome affects the future state of the environment, leading to a series of interconnected events. Signup and view all the answers

How does goal adaptation play a role in dynamic environments?

In dynamic environments, agents may need to adapt their goals or strategies based on the changing conditions to achieve success. Signup and view all the answers

Differentiate between deterministic and stochastic environments.

Deterministic environments have predictable outcomes for given actions, while stochastic environments involve randomness or uncertainty in outcomes. Signup and view all the answers

What is the difference between a deterministic and a stochastic environment in the context of artificial intelligence?

Deterministic environment's next state is completely predictable, while stochastic environment has some uncertainty associated with the next state. Signup and view all the answers

How does uncertainty arise in an environment according to the lecture?

Uncertainty can arise from randomness, lack of a good environment model, or lack of complete sensor coverage. Signup and view all the answers

Define a strategic environment based on the lecture.

A strategic environment is deterministic except for actions of other agents. Signup and view all the answers

What characterizes an episodic experience for an agent in the context of artificial intelligence?

An episodic experience is divided into atomic episodes where each episode consists of perceiving and performing a single action. Signup and view all the answers

How does the choice of action differ in episodic and sequential experiences for an agent?

In episodic experiences, the choice of action depends only on the current episode, while in sequential experiences, actions may depend on past experiences. Signup and view all the answers

Why is it important for AI systems to distinguish between episodic and sequential experiences?

Distinguishing between episodic and sequential experiences helps in designing better decision-making processes for agents. Signup and view all the answers