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Intelligent Agents
Presenters:
Talha Shafique FA14-BCS-112
Jawad Javaid FA14-BCS-124
Outline:
Introduction to Agents
What is intelligent agent?
Classes of intelligent agents
Application of intelligent agents
2
Define Agent?
An agent is anything that can be
viewed as perceiving its
environment through sensors and
acting upon that environment
through effectors.
3
Example:
A human agent has eyes,
ears, and other organs for
sensors, and hands, legs,
mouth, and other body
parts for effectors.
A robotic agent substitutes
cameras and infrared
range finders for the
sensors and various
motors for the effectors.
What is intelligent Agent?
An intelligent agent (IA) is an autonomous entity
which observes and acts upon an environment
and directs its activity towards achieving goals.
Intelligent agents may also learn or use knowledge to
achieve their goals.
5
Important things for Intelligent agent
Must Sense,
Must Act,
Must be autonomus ,
Must be rational,
6
Agent and Environment:
7
Classes of Intelligent Agents
1. Simple reflex agents
2. Model-based reflex agents
3. Goal-based agents
4. Utility-based agents
5. Learning agents
8
Simple reflex agents:
Simple reflex agents act only on the basis of the
current percept, ignoring the rest of the percept
history. The agent function is based on the
condition-action rule: if condition then action.
9
Simple reflex agents:
10
Model-based reflex agent:
• Each agent has model, agent check percept
according to its model
• A model-based agent can handle a partially
observable environment.
11
Model-based reflex agent:
12
Goal based agents:
• Goal-based agents further expand on the
capabilities of the model-based agents, by
using "goal" information.
• Goal information allows the agent a way to
choose among multiple possibilities, selecting
the one which reaches a goal state.
13
Goal based agents:
14
Utility based agents:
It is based on a function that tells agent
whether the goal is achieved or not. And how
much further it is from its goal.
15
Utility based agents:
16
Learning agents:
Learning has an advantage that it allows the
agents to initially operate in unknown
environments and to become more competent
than its initial knowledge alone might allow.
17
Learning agents:
18
Applications of Intelligent Agents:
• Intelligent agents are applied as automated
online assistants
• Use in smart phones in future.
19
Capabilities:
• Interact with user in real world
• Find specific information
• Solve problems
• Make Decisions
• Summarize Complex Data
• Perform Repetitive Tasks
• Handling Multiple tasks
• Mobile
20
Limitations:
• Security Risk
• Language barriers
• Trust and delegation
• Push aside : human efforts
• Need improvement
21
22
Thanks!
Any questions?

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Intelligent Agents (AI-topic)