Artificial Intelligence Introduction and Applications in Modern Technology
Explore the fundamentals of artificial intelligence, including intelligent agents, AI systems, and various applications like optical character recognition and gaming. Learn how AI is shaping the future of technology. Contact Hope Foundation for more information.
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Artificial Intelligence Introduction Unit I By : Ashvini Kulkarni Hope Foundation s International Institute of Information Technology, I IT, 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 1
Syllabus AI Intelligent Agents Agents Agent types Good behaviour The nature of environments structure of agents agents and nature of its environment Hope Foundation s International Institute of Information Technology, I IT, 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. Systems that think like humans 2. Systems that act like humans 3. Systems that think rationally 4. Systems that act rationally Hope Foundation s International Institute of Information Technology, I IT, 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, I IT, 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 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] Sensor input percepts Environment Agent action Figure: Agent interaction with environment Hope Foundation s International Institute of Information Technology, I IT, 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 5
Agent Function and Agent Program 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, I IT, 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
Good behaviour 1. 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 2. 3. 4. Hope Foundation s International Institute of Information Technology, I IT, 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, I IT, 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, I IT, 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, I IT, 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 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, I IT, 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, I IT, 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
