AI - Intelligent Agents
0.0(0)
Studied by 0 people0.0(0)
Call with Kai
Learn
Practice Test
Spaced Repetition
Match
Flashcards
Knowt PlayCard Sorting
1/12
Earn XP
Description and Tags
Last updated 9:38 AM on 9/14/22
Name | Mastery | Learn | Test | Matching | Spaced | Call with Kai |
|---|
No analytics yet
Send a link to your students to track their progress
13 Terms
1
New cards
PEAS Description of task environment
Performance
Environment
Actuators
Sensors
Environment
Actuators
Sensors
2
New cards
Simple reflex agent
-Receives a percept
-Updates its state
-Chooses an action
-Returns it
-Updates its state
-Chooses an action
-Returns it
3
New cards
Model Based Reflex Agent
Knows how world evolves and the effect of each action
4
New cards
Goal based agent
Searches for a sequence of actions to achieve a specific goal
5
New cards
Utility based agent
An agent that picks one of the different goals based on its utility
6
New cards
Learning agent
Has a learning element that can improve performance over time
7
New cards
Single vs. multi-agent
Is there more than 1 agent we are in competition with?
8
New cards
Deterministic vs. stochastic
Can we determine the next state of the environment purely by the action we're going to take next
9
New cards
Fully vs partially observable
Do we have full access to the state of the environment?
10
New cards
Episodic vs. sequential
Is the agent's act divided into atomic episodes?
11
New cards
Static vs. dynamic
Can the environment change while the agent is deliberating?
12
New cards
Discrete vs. continuous
Are there a finite number of state?
13
New cards
Known vs. unknown
Do we know all the laws of the surrounding environment
Note 
Flashcards (65)