Introduction Unit I 1 By : Ashvini Kulkarni Hope
Description: Introduction Unit I 1 By : Ashvini Kulkarni Hope Foundations 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
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slide1. Introduction Unit I 1 By : Ashvini Kulkarni 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 Artificial Intelligence<br>
slide2. Syllabus AI
Intelligent Agents
Agents
Agent types
Good behaviour
The nature of environments
structure of agents
agents and nature of its environment 2 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<br>
slide3. Artificial Intelligent Artificial Intelligence is the study of how to make computers do things at the moment, and do better [1].
AI important elements:
Systems that think like humans
Systems that act like humans
Systems that think rationally
Systems that act rationally 3 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<br>
slide4. Artificial Intelligent Applications of AI
Optical character recognition
Handwriting recognition
Speech recognition
Face recognition
Gaming
Artificial creativity
Computer vision, Virtual reality, and Image processing
Photo and Video manipulation
Diagnosis (artificial intelligence) 4 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<br>
slide5. Intelligent Agent 5 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 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<br>
slide6. Agent action is decided upon any input perceived by any agent.
Agent program is the action taken against that percept sequence 6 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 Agent Function and Agent Program<br>
slide7. Good behaviour Rationality: Agent selects action which maximizes the performance
Learn: Agent should learn from perceive sequences
Omniscient: Agent should know the outcome of its actions
Autonomous: Agent should compensate for half/inaccurate knowledge 7 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<br>
slide8. Specifying the task environment
task environment specification includes the performance measure, the external environment, the actuators, and the sensors 8 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 Nature of environments<br>
slide9. Task performance can be measured by following parameters
PEAS (Performance, Environment, Actuators, Sensors) description 9 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 Nature of environments<br>
slide10. Task performance can be measured by following parameters
PEAS (Performance, Environnent, actuator, sensors) description 10 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 Nature of environments<br>
slide11. Example: Taxi Driver 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 11 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<br>
slide12. References [1] Stuart Russell, Peter Norvig, ―Artificial Intelligence‖, A Modern Approach, Pearson Education/Prentice Hall of India. 12 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<br>
Tel - +91 20 22933441 / 2 / 3 | Website - www.isquareit.edu.in ; Email - info@isquareit.edu.in Artificial Intelligence<br>
slide2. Syllabus AI
Intelligent Agents
Agents
Agent types
Good behaviour
The nature of environments
structure of agents
agents and nature of its environment 2 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<br>
slide3. Artificial Intelligent Artificial Intelligence is the study of how to make computers do things at the moment, and do better [1].
AI important elements:
Systems that think like humans
Systems that act like humans
Systems that think rationally
Systems that act rationally 3 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<br>
slide4. Artificial Intelligent Applications of AI
Optical character recognition
Handwriting recognition
Speech recognition
Face recognition
Gaming
Artificial creativity
Computer vision, Virtual reality, and Image processing
Photo and Video manipulation
Diagnosis (artificial intelligence) 4 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<br>
slide5. Intelligent Agent 5 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 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<br>
slide6. Agent action is decided upon any input perceived by any agent.
Agent program is the action taken against that percept sequence 6 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 Agent Function and Agent Program<br>
slide7. Good behaviour Rationality: Agent selects action which maximizes the performance
Learn: Agent should learn from perceive sequences
Omniscient: Agent should know the outcome of its actions
Autonomous: Agent should compensate for half/inaccurate knowledge 7 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<br>
slide8. Specifying the task environment
task environment specification includes the performance measure, the external environment, the actuators, and the sensors 8 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 Nature of environments<br>
slide9. Task performance can be measured by following parameters
PEAS (Performance, Environment, Actuators, Sensors) description 9 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 Nature of environments<br>
slide10. Task performance can be measured by following parameters
PEAS (Performance, Environnent, actuator, sensors) description 10 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 Nature of environments<br>
slide11. Example: Taxi Driver 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 11 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<br>
slide12. References [1] Stuart Russell, Peter Norvig, ―Artificial Intelligence‖, A Modern Approach, Pearson Education/Prentice Hall of India. 12 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<br>