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INTRODUCTION
Unit I
1
Artificial Intelligence
Prof. Ashvini Kulkarni
Assistant Professor
Department of Electronics & Telecommunication
Hope Foundation’s
International Institute of Information Technology, I²IT
www.isquareit.edu.in
SYLLABUS
 AI
 Intelligent Agents
 Agents
 Agent types
 Good behaviour
 The nature of environments
Hope Foundation’s International Institute of Information Technology, I²IT, P-14 Rajiv Gandhi Infotech Park, Hinjawadi, Pune - 411 057
Tel - +91 20 22933441 / 2 / 3 | Website - www.isquareit.edu.in ; Email - info@isquareit.edu.in
2
ARTIFICIAL INTELLIGENT
 Artificial Intelligence is the study of how to
make computers do things at the moment,
and do better [1].
 AI important elements:
1. think like humans
2. act like humans
3. think rationally
4. act rationally
Hope Foundation’s International Institute of Information Technology, I²IT, P-14 Rajiv Gandhi Infotech Park, Hinjawadi, Pune - 411 057
Tel - +91 20 22933441 / 2 / 3 | Website - www.isquareit.edu.in ; Email - info@isquareit.edu.in
3
ARTIFICIAL INTELLIGENT
 Applications of AI
1) Optical character recognition
2) Handwriting recognition
3) Speech recognition
4) Face recognition
5) Gaming
6) Artificial creativity
7) Computer vision, Virtual reality, and Image processing
8) Photo and Video manipulation
9) Diagnosis (artificial intelligence)
Hope Foundation’s International Institute of Information Technology, I²IT, P-14 Rajiv Gandhi Infotech Park, Hinjawadi, Pune - 411 057
Tel - +91 20 22933441 / 2 / 3 | Website - www.isquareit.edu.in ; Email - info@isquareit.edu.in
4
Intelligent Agent
Hope Foundation’s International Institute of Information Technology, I²IT, P-14 Rajiv Gandhi Infotech Park, Hinjawadi, Pune - 411 057
Tel - +91 20 22933441 / 2 / 3 | Website - www.isquareit.edu.in ; Email - info@isquareit.edu.in5
An agent is anything that can be viewed as perceiving its environment
through sensors and acting upon that environment through actuators
shown in Figure[1]
Environment Agent
Sensor input
percepts
action
Figure: Agent interaction with environment
Agent action is decided upon any
input perceived by any agent.
Agent program is the action taken
against that percept sequence
Hope Foundation’s International Institute of Information Technology, I²IT, P-14 Rajiv Gandhi Infotech Park, Hinjawadi, Pune - 411 057
Tel - +91 20 22933441 / 2 / 3 | Website - www.isquareit.edu.in ; Email - info@isquareit.edu.in
6
Agent Function and Agent
Program
GOOD BEHAVIOUR
1. Rationality: Agent selects action which
maximizes the performance
2. Learn: Agent should learn from
perceive sequences
3. Omniscient: Agent should know the
outcome of its actions
4. Autonomous: Agent should
compensate for half/inaccurate
knowledge
Hope Foundation’s International Institute of Information Technology, I²IT, P-14 Rajiv Gandhi Infotech Park, Hinjawadi, Pune - 411 057
Tel - +91 20 22933441 / 2 / 3 | Website - www.isquareit.edu.in ; Email - info@isquareit.edu.in
7
NATURE OF ENVIRONMENTS
Specifying the task
environment
task environment specification
includes the performance
measure, the external
environment, the actuators,
and the sensors
Hope Foundation’s International Institute of Information Technology, I²IT, P-14 Rajiv Gandhi Infotech Park, Hinjawadi, Pune - 411 057
Tel - +91 20 22933441 / 2 / 3 | Website - www.isquareit.edu.in ; Email - info@isquareit.edu.in
8
NATURE OF ENVIRONMENTS
Task performance can be
measured by following
parameters
1. PEAS (Performance,
Environment, Actuators,
Sensors) description
Hope Foundation’s International Institute of Information Technology, I²IT, P-14 Rajiv Gandhi Infotech Park, Hinjawadi, Pune - 411 057
Tel - +91 20 22933441 / 2 / 3 | Website - www.isquareit.edu.in ; Email - info@isquareit.edu.in
9
NATURE OF ENVIRONMENTS
Task performance can be
measured by following
parameters
1. PEAS (Performance,
Environnent, actuator,
sensors) description
Hope Foundation’s International Institute of Information Technology, I²IT, P-14 Rajiv Gandhi Infotech Park, Hinjawadi, Pune - 411 057
Tel - +91 20 22933441 / 2 / 3 | Website - www.isquareit.edu.in ; Email - info@isquareit.edu.in
10
EXAMPLE: TAXI DRIVER[1]
 Taxi Driver = Agent Type
 Safe, fast, legal, comfortable trip, maximize
profits =Performance Measure
 Roads and other traffic, pedestrians,
customers=Environment
 Steering, accelerator, brake, signal horn,
display=Actuators
 Cameras, sonar, speedometer, GPS, odometer,
accelerometer, engine sensors, keyboard
=Sensors
Hope Foundation’s International Institute of Information Technology, I²IT, P-14 Rajiv Gandhi Infotech Park, Hinjawadi, Pune - 411 057
Tel - +91 20 22933441 / 2 / 3 | Website - www.isquareit.edu.in ; Email - info@isquareit.edu.in
11
REFERENCES
[1] Stuart Russell, Peter Norvig, ―Artificial
Intelligence‖, A Modern Approach, Pearson
Education/Prentice Hall of India.
Hope Foundation’s International Institute of Information Technology, I²IT, P-14 Rajiv Gandhi Infotech Park, Hinjawadi, Pune - 411 057
Tel - +91 20 22933441 / 2 / 3 | Website - www.isquareit.edu.in ; Email - info@isquareit.edu.in
12
THANK YOU
For further information please contact
Prof. Ashvini Kulkarni
Department of Electronics & Telecommunication
Hope Foundation’s
International Institute of Information Technology, I²IT
P-14, Rajiv Gandhi Infotech Park, MIDC Phase I,
Hinjawadi, Pune – 411 057
Phone - +91 20 22933441
www.isquareit.edu.in | ashvinik@isquareit.edu.in |
info@isquareit.edu.in
13

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Artificial Intelligence - Introduction

  • 1. INTRODUCTION Unit I 1 Artificial Intelligence Prof. Ashvini Kulkarni Assistant Professor Department of Electronics & Telecommunication Hope Foundation’s International Institute of Information Technology, I²IT www.isquareit.edu.in
  • 2. SYLLABUS  AI  Intelligent Agents  Agents  Agent types  Good behaviour  The nature of environments Hope Foundation’s International Institute of Information Technology, I²IT, P-14 Rajiv Gandhi Infotech Park, Hinjawadi, Pune - 411 057 Tel - +91 20 22933441 / 2 / 3 | Website - www.isquareit.edu.in ; Email - info@isquareit.edu.in 2
  • 3. ARTIFICIAL INTELLIGENT  Artificial Intelligence is the study of how to make computers do things at the moment, and do better [1].  AI important elements: 1. think like humans 2. act like humans 3. think rationally 4. act rationally Hope Foundation’s International Institute of Information Technology, I²IT, P-14 Rajiv Gandhi Infotech Park, Hinjawadi, Pune - 411 057 Tel - +91 20 22933441 / 2 / 3 | Website - www.isquareit.edu.in ; Email - info@isquareit.edu.in 3
  • 4. ARTIFICIAL INTELLIGENT  Applications of AI 1) Optical character recognition 2) Handwriting recognition 3) Speech recognition 4) Face recognition 5) Gaming 6) Artificial creativity 7) Computer vision, Virtual reality, and Image processing 8) Photo and Video manipulation 9) Diagnosis (artificial intelligence) Hope Foundation’s International Institute of Information Technology, I²IT, P-14 Rajiv Gandhi Infotech Park, Hinjawadi, Pune - 411 057 Tel - +91 20 22933441 / 2 / 3 | Website - www.isquareit.edu.in ; Email - info@isquareit.edu.in 4
  • 5. Intelligent Agent Hope Foundation’s International Institute of Information Technology, I²IT, P-14 Rajiv Gandhi Infotech Park, Hinjawadi, Pune - 411 057 Tel - +91 20 22933441 / 2 / 3 | Website - www.isquareit.edu.in ; Email - info@isquareit.edu.in5 An agent is anything that can be viewed as perceiving its environment through sensors and acting upon that environment through actuators shown in Figure[1] Environment Agent Sensor input percepts action Figure: Agent interaction with environment
  • 6. Agent action is decided upon any input perceived by any agent. Agent program is the action taken against that percept sequence Hope Foundation’s International Institute of Information Technology, I²IT, P-14 Rajiv Gandhi Infotech Park, Hinjawadi, Pune - 411 057 Tel - +91 20 22933441 / 2 / 3 | Website - www.isquareit.edu.in ; Email - info@isquareit.edu.in 6 Agent Function and Agent Program
  • 7. GOOD BEHAVIOUR 1. Rationality: Agent selects action which maximizes the performance 2. Learn: Agent should learn from perceive sequences 3. Omniscient: Agent should know the outcome of its actions 4. Autonomous: Agent should compensate for half/inaccurate knowledge Hope Foundation’s International Institute of Information Technology, I²IT, P-14 Rajiv Gandhi Infotech Park, Hinjawadi, Pune - 411 057 Tel - +91 20 22933441 / 2 / 3 | Website - www.isquareit.edu.in ; Email - info@isquareit.edu.in 7
  • 8. NATURE OF ENVIRONMENTS Specifying the task environment task environment specification includes the performance measure, the external environment, the actuators, and the sensors Hope Foundation’s International Institute of Information Technology, I²IT, P-14 Rajiv Gandhi Infotech Park, Hinjawadi, Pune - 411 057 Tel - +91 20 22933441 / 2 / 3 | Website - www.isquareit.edu.in ; Email - info@isquareit.edu.in 8
  • 9. NATURE OF ENVIRONMENTS Task performance can be measured by following parameters 1. PEAS (Performance, Environment, Actuators, Sensors) description Hope Foundation’s International Institute of Information Technology, I²IT, P-14 Rajiv Gandhi Infotech Park, Hinjawadi, Pune - 411 057 Tel - +91 20 22933441 / 2 / 3 | Website - www.isquareit.edu.in ; Email - info@isquareit.edu.in 9
  • 10. NATURE OF ENVIRONMENTS Task performance can be measured by following parameters 1. PEAS (Performance, Environnent, actuator, sensors) description Hope Foundation’s International Institute of Information Technology, I²IT, P-14 Rajiv Gandhi Infotech Park, Hinjawadi, Pune - 411 057 Tel - +91 20 22933441 / 2 / 3 | Website - www.isquareit.edu.in ; Email - info@isquareit.edu.in 10
  • 11. EXAMPLE: TAXI DRIVER[1]  Taxi Driver = Agent Type  Safe, fast, legal, comfortable trip, maximize profits =Performance Measure  Roads and other traffic, pedestrians, customers=Environment  Steering, accelerator, brake, signal horn, display=Actuators  Cameras, sonar, speedometer, GPS, odometer, accelerometer, engine sensors, keyboard =Sensors Hope Foundation’s International Institute of Information Technology, I²IT, P-14 Rajiv Gandhi Infotech Park, Hinjawadi, Pune - 411 057 Tel - +91 20 22933441 / 2 / 3 | Website - www.isquareit.edu.in ; Email - info@isquareit.edu.in 11
  • 12. REFERENCES [1] Stuart Russell, Peter Norvig, ―Artificial Intelligence‖, A Modern Approach, Pearson Education/Prentice Hall of India. Hope Foundation’s International Institute of Information Technology, I²IT, P-14 Rajiv Gandhi Infotech Park, Hinjawadi, Pune - 411 057 Tel - +91 20 22933441 / 2 / 3 | Website - www.isquareit.edu.in ; Email - info@isquareit.edu.in 12
  • 13. THANK YOU For further information please contact Prof. Ashvini Kulkarni Department of Electronics & Telecommunication Hope Foundation’s International Institute of Information Technology, I²IT P-14, Rajiv Gandhi Infotech Park, MIDC Phase I, Hinjawadi, Pune – 411 057 Phone - +91 20 22933441 www.isquareit.edu.in | ashvinik@isquareit.edu.in | info@isquareit.edu.in 13