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Artificial Intelligence to Intelligent Agent

الكلية كلية تكنولوجيا المعلومات     القسم قسم شبكات المعلومات     المرحلة 3
أستاذ المادة مهدي عبادي مانع الموسوي       28/04/2015 17:14:11
1. Artificial intelligent (AI) to intelligent Agent (IA)

An agent is anything that can be viewed as perceiving its environment through sensors and acting upon that environment through actuators

• Human agent: eyes, ears, and other organs for sensors; hands,
• legs, mouth, and other body parts for actuators
• Robotic agent: cameras and infrared range finders for sensors;
various motors for actuators




2. PEAS: Performance measure, Environment, Actuators, Sensors

Must first specify the setting for intelligent agent design:-

Consider, e.g., the task of designing an automated taxi driver:

– Performance measure: Safe, fast, legal, comfortable trip, maximize profits
– Environment: Roads, other traffic, pedestrians, customers
– Actuators: Steering wheel, accelerator, brake, signal, horn
– Sensors : Cameras, sonar, speedometer, GPS, odometer, engine sensors, keyboard.

Agent: Medical diagnosis system
– Performance measure: Healthy patient, minimize costs, lawsuits
– Environment: Patient, hospital, staff
– Actuators: Screen display (questions, tests, diagnoses, treatments, referrals)
– Sensors: Keyboard (entry of symptoms, findings, patient s answers)

Agent: Part-picking robot
– Performance measure: Percentage of parts in correct bins
– Environment: Conveyor belt with parts, bins
– Actuators: Jointed arm and hand
– Sensors: Camera, joint angle sensors
Learning agent can be viewed as :-



Needing for learning when the agent is long-lived and will perform similar tasks many times during its lifetime, then learning can be used to improve its performance.



a. Perception
• To make a good software agent it can be perceive for all thinks around it.
• Our IA must have a source of information about the world in which it lives and to be able to gather information about its environment.
• It can be done either by sending or receiving a stream of event messages from the system, the user, or other agents.
• The software agent must be able to distinguish the normal events from the significant events
b. Action
• After gather information the next step that the agent must take some action to do.
• The agent like people, it takes actions through effectors.
• The action is the process that the software agent will do them to perform a specific task.


المادة المعروضة اعلاه هي مدخل الى المحاضرة المرفوعة بواسطة استاذ(ة) المادة . وقد تبدو لك غير متكاملة . حيث يضع استاذ المادة في بعض الاحيان فقط الجزء الاول من المحاضرة من اجل الاطلاع على ما ستقوم بتحميله لاحقا . في نظام التعليم الالكتروني نوفر هذه الخدمة لكي نبقيك على اطلاع حول محتوى الملف الذي ستقوم بتحميله .