1. Michael Wooldridge presented by 96420-039 Kim Sang Soon
Intelligent Agents
Michael Wooldridge
presented by
Kim Sang Soon

2. 1. Contents 1. What is Intelligent Agents? 2. Abstract Architectures
3. Concrete Architectures
- Logic-Based Architectures
- Reactive Architecture
- Belief-Desire-Intention Architecure
- Layered Architecture
4. Agent Programming Language

3. Intelligent Agents(1) Agents
the system that can decide for themselves what they need to do in order to satisfy their design objectives.

4. Intelligent Agents(2) Intelligent Agents
Agents that must operate robustly in rapidly changing, unpredictable, or open environments, where there is a significant possiblity that actions can fail.
Computer system that is situated in some environment, and that is capable of autonomous action in this environment in order to meet its design objectives.

5. Intelligent Agents
Agent
Sensor
input
Action
output
Environment

6. Concrete Architectures
Logic-Based Architectures
Reactive Architectures
Belief-Desire-Intention Architecture
Layered Architectures

7. Logic-Based Architectures
Decision making is realized through logical deduction
Example
In(x,y)^Dirt(x,y) -> Do(suck)
In(0,0)^Facing(north) ^ ¬Dirt(0,0) -> Do(forward)

8. Reactive Architecutre
Decision making is implemented in some form of direct mapping from situation to action
Rodney Brooks’ mobile robot
finite state machine
subsumption hierarchy

9. Belief-Desire-Intention Arch.(1)
Decision making depends upon the manipulation of data structures representing the beliefs, desires, and intentions of the agents
state of a BDI agent : (B,D,I)

10. Belief-Desire-Intention Arch.(2)
Sensor
input
brf
beliefs
Generate
options
desires
filter
intentions
action
Action
output

11. Layered Architectures
Decision making is realized via various software layers, each of which is more-or-less explicitly reasoning about the environment at different levels of abstraction
Horizontal layering, Vertical layering

12. Layered Architectures(cont.)
Layer n
...
Layer 2
Layer 1
Perceptual
input
Action
output
Layer n
...
Layer 2
Layer 1
Perceptual
input
Action
output
Layer n
...
Layer 2
Layer 1
Action
output
Perceptual
input

13. Agent Programming Languages(1)
Agent-Oriented Programming
agent : set of capabilities + set of initial beliefs +set of initial commitments(intentions) + set of commitment rules
ex) AGENT0

14. Agent Programming Languages(2)
Concurrent METATEM
consists of concurrently executing agents
each agent is given a temporal logic
Rc(ask)[give]
ask(x) => give(y)
give(x)^give(y) => ( x = y )