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CSE 4705 Artificial Intelligence

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Presentation on theme: "CSE 4705 Artificial Intelligence"— Presentation transcript:

1 CSE 4705 Artificial Intelligence
Jinbo Bi Department of Computer Science & Engineering

2 Intelligent Agents Chapter 2

3 Rational agents Rational agent: An agent is an entity that perceives and acts This course is about effective programming techniques for designing rational agents

4 Rational agents Rational agent: An agent is an entity that perceives and acts This course is about effective programming techniques for designing rational agents

5 Rational agent skills can include

6 Agents and environments

7 Agents

8 Outline of rational agents
Defining task environments Environment types Agent types (read the book)

9 Agent function and program

10 Example: A vacuum-cleaner agent

11 Vacuum-cleaner world: agent function

12 Rational agents

13 Outline of rational agents
Defining task environments Environment types Agent types (read the book)

14 Task environment

15 PEAS: specifying an automated taxi driver

16 PEAS: specifying an automated taxi driver
Safe, fast, legal, comfortable, maximize profits

17 PEAS: specifying an automated taxi driver
Safe, fast, legal, comfortable, maximize profits Roads, other traffic, pedestrians, customers

18 PEAS: specifying an automated taxi driver
Safe, fast, legal, comfortable, maximize profits Roads, other traffic, pedestrians, customers Steering, accelerator, brake, signal, horn

19 PEAS: specifying an automated taxi driver
Safe, fast, legal, comfortable, maximize profits Roads, other traffic, pedestrians, customers Steering, accelerator, brake, signal, horn Cameras, sonar, speedometer, GPS

20 PEAS: medical diagnosis system

21 Outline of rational agents
Defining task environments Environment types Agent types (read the book)

22 Environment types

23 Environment types

24 Outline of rational agents
Defining task environments Environment types Agent types (read the book)

25 Agent types Read book Chap

26 Uninformed search strategies
Chap 3.1 problem solving agents and problem formulation Tree search basics Breadth-first, depth-first search, and iterative-deepening search …

27 An example: holiday in Romania
Start Goal

28 An example: holiday in Romania

29 A problem is defined by:

30 A solution

31 A hard subtask: selecting a state space

32 Formulating a search problem

33 Another example: 8-puzzle

34 Another example: 8-puzzle

35 Example: missionaries & cannibals

36 Formulation: missionaries & cannibals

37 Formulation: missionaries & cannibals

38 Survey?


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