Intelligent Agents
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Avg score: 20% • Most missed: “Complete History Of Everything The Agent Has Perceived.”
Intelligent Agents
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25 Questions

1. 1. Atomic 2. Factored 3. Structured

2. No Physical Agent In The Universe Will Have The Space To Store The Table

3. Generates Updated Description Of The Current State - Based On The Agent's Model Of How The World Works

4. 1. Model Of The World - General Knowledge Of "How The World Works". An Agent That Uses This Is Called A Model-Based Agent. - 2. A Goal That Describes Situations That Are Desirable

5. Next State Of The Environment Is Completely Determined By The Current State And Action Executed By The Agent. Otherwise - Environment Is Stochastic

6. Interpret-Input -> State - Rule-Match(State - Rules) -> Rule - Rule.Action -> Action - Return Action - Interpret-Input Generates An Abstracted Description Of The Current State From The Percept - Rule-Match Returns The First Rule In The Set Of Rules That Matches The Given State Description

7. Complete History Of Everything The Agent Has Perceived.

8. Problems To Which Rational Agents Are The Solutions. Includes Performance Measure - Environment - And Agent's Actuators/Sensors

9. Taxi Ex: Speed And Location Of Taxi And Other Vehicles Sweep Through A Range Of Continuous Values And Do So Smoothly Over Time. Taxi-Driving Actions Are Continuous (Steering Angles - Etc) - Input From Digital Cameras Is Discrete - But Treated As Representing Continuously Varying Intensities And Locations

10. The Utility The Agent Expects To Derive - On Average - Given The Probabilities And Utilities Of Each Outcome.

11. Environment Doesn't Change With The Passage Of Time - But Agent's Performance Score Does

12. Implements Agent Function Internally

13. Most Real Situations Where It Is Impossible To Keep Track Of All Unobserved Aspects.

14. Entire Percept Sequence - But Not Anything It Hasnt Perceived

15. Doing Actions To Modify Future Percepts (Such As Choosing The "Looking" Option Before Crossing The Street)

16. Rationality Maximizes Expected Performance - While Perfection Maximizes Actual Performance

17. In A New Video Game - Screen May Show Entire Game State - But I Don't Know What The Buttons Do Until I Try Them

18. In Solitaire - I Know The Rules But Am Unable To See Cards That Haven't Been Turned Over

19. Can Change While Agent Is Deliberating. Continuously Ask Agent What It Wants To Do. Otherwise - Static

20. Anything That Perceives Its Environment Through Sensors And Acts Upon It Through Actuators

21. State: Agent's Current Conception Of The World State - Model: Description Of How The Next State Depends On Current State And Action - Rules: A Set Of Condition-Action Rules - Action: The Most Recent Action - Initially None - Update-State(State - Action - Percept - Model) -> State - Rule-Match(State - Rules) -> Rule - Rule.Action -> Action - Return Action

22. Outcomes For All Actions Are Given

23. Splits Each State Into A Fixed Set Of Variables Or Attributes - Each Of Which Can Have A Value. While 2 Different Atomic States Have Nothing In Common - 2 Different Factored States Can Share Some Attributes. This Makes It Easier To Turn One State Into Another. Also Represents Uncertainty.

24. Maps From Percepts To Actions

25. Performance - Environment - Actuators - Sensors

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