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2 - AI: Intelligent agents (4 - The structure of agents (Agent programs…
2 - AI: Intelligent agents
1 -
Agents and environments
Input
Percept and percept sequence
Output
Behaviour
agent
function
agent
program
Tabulating
very large
how can we fill it the right way?
#
2 -
The concept of rationality
Rationality
performance measure
prior knowledge
actions
percept sequence to date
Omniscience, learning and autonomy
rationality (
expected
) vs omniscience (
actual
)
Information gathering
Autonomous
Prior knowledge
Learn
A rational agent does the right thing
Performance measure
3 -
The nature of environments
Specifying the task environment
PEAS
real & artificial environment
Properties of task environment
Observable
Agents
Deterministic
Episodic
Static
Discrete
Known
environment class
4 -
The structure of agents
Agent programs
has to remember percepts?
1)
Simple reflex agents
condition-action rule
2)
Model-based reflex agents
internal state
3)
Goal-based agents
4)
Utility-based agents
Learning agents
How the components of agent programs work
Table-driven approach