lecture 1 + 2 Flashcards

1
Q

What do we need to define for agents to perform a certain task? What do they map?

A

A performance measure, a set of sensors, actuators and it will operate in an environment. A simple agent maps the percepts its given via sensors to actions.

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2
Q

Why do we need to evaluate an agent function? What is important with this?

A

This allows us to see how an agent performs over time easily. It is important we pick a performance measure which the agent can not somehow “cheat” at in order to get a high score without doing what we wanted.

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3
Q

What is a reflex agent, state based agent, reasoning agent, goal based agent, and linguistic agent?

A

Reflex: link sensors to actuators
State based: link sensors to internal variables(known as state) which links to actuators
Reasoning agents: Can store and manipulate representations of situations in the world.
Goal based: Can search for a way to achieve desired situation
Linguistic agents: Can exchange representations with one another.

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4
Q

Why can perception and action be blurred?

A

Actions change the environment, this consequently changes what the agent perceives.

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5
Q

What is an emergent behaviour?

A

A behaviour which results from the interaction between the agent and environment.

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6
Q

What is the subsumption architecture?

A

Lots of seperate reflex agent functions stacked on top of each other, each of which is known as a behaviour.

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7
Q

What are the main factors environments vary on?

A
Fully observable vs partially
deterministic vs stochastic
episodic vs sequential
offline vs online
discrete vs continuous
single-agent vs multi-agent
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8
Q

Why is it important to work in the real world and not simulations?

A

Hard to simulate all relevant aspects of environment, unexpected problems and unexpected benefits.

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