13. TECHNICAL PUBLICATIONS - An up thrust for knowledge
TM
[Actuator]
? thinks
[Environment]
[Percepts]
[Action]
[Sensor]
AI
Agent program
Design
Agent function
Implements
Perception
Maps
Action
Leads to
Agent program
architecture
14. TECHNICAL PUBLICATIONS - An up thrust for knowledge
TM
An agent program
(Agent function)
Input
(Current percepts
from sensors)
Output
(Action made
through actuators)
16. TECHNICAL PUBLICATIONS - An up thrust for knowledge
TM
Optimal / right action / behaviour
Result into desired
sequence of states
Perceive sequence which
generator optimal
sequence actions
Agent coupled
with complex
environment
Environment known
Good agent
Rational behaviour
Environment unknown
Bad agent
Irrational behaviour
17. TECHNICAL PUBLICATIONS - An up thrust for knowledge
TM
Sequence
of percept
Rationality
Depends
on
Maximizes
Maximizes
is not same as
Perfection
Actual
performance
Expected
performance
25. TECHNICAL PUBLICATIONS - An up thrust for knowledge
TM
Percept
through sensors
Belief
Goals
Desires
through actuators
Action
Obligation
Interaction
Knowledge
Intelligent
agent
Enviroment
(world with agents)
World
without
agent
26. TECHNICAL PUBLICATIONS - An up thrust for knowledge
TM
Intelligent agent
An entity
is
1. Perception
2. Action
which perform?
27. TECHNICAL PUBLICATIONS - An up thrust for knowledge
TM
What the
world is like
now?
What action
should do
now?
I
Condition - action rule
Actuator
Sensor
Environment
28. TECHNICAL PUBLICATIONS - An up thrust for knowledge
TM
What action
should do now?
I
Condition-action rule
Actuators
Sensor
Environment
State
What my action do?
What the world
is like now?
How the world
evolves?
29. TECHNICAL PUBLICATIONS - An up thrust for knowledge
TM
What action
should do now?
I
Goals
Actuators
Sensor
Environment
What may action do?
What it will be like
if do action A?
I
What the world
is like now?
How the world
evolves?
State
30. TECHNICAL PUBLICATIONS - An up thrust for knowledge
TM
Actuator
Environment
State
How the world evolves
What may actions do
Utilitity
What the
world is like
now?
What it will be
like if do
I
action A?
How happy will be
I
in such a state?
What action I
should do now?
Sensor
31. TECHNICAL PUBLICATIONS - An up thrust for knowledge
TM
Environment
Performance
standard
Feedback
Learning
Changes
Knowledge
Sensors
Actuators
Sensors
Performance
element
Critic
Learning
element
Goals
Problem
generator
45. TECHNICAL PUBLICATIONS - An up thrust for knowledge
TM
Problem
solving
agent
Sequence of
actions
Successful
states
Generate Act
46. TECHNICAL PUBLICATIONS - An up thrust for knowledge
TM
Problem
{ Set of goals }
Performance measure
Action, states
Goal satisfied
Goal information
Problem and search
formulation
Execution
