Computer Science Engineering Assignment Help

Latest Question

The AIDA project (Affective, Intelligent Driving Agent), is an intelligent navigation system that aims to bring an innovative driving experience. Instead of focusing specially on determining routes to a specified waypoint, our system utilizes analysis of driver behavior in order to identify the set of goals the driver would like to achieve (Where he wants to go? would he like to visit some special place?).
Also, AIDA involves an understanding of the city beyond what can be seen through the windshield, incorporating information such as business and shopping districts, tourist and residential areas, as well as real-time event information and environmental conditions. Functionalities that gather information about driver preferences additionally help AIDA to behave more intelligently.
One mandatory task for AIDA is to predict the destination of the driver as well as the most likely route that he/she will follow. This will in turn allow for useful reactions from AIDA such as proposing route alternatives when something unexpected happens in the predicted route, or providing the right information at the right time (e.g. a fuel warning before passing by a gas station) or even helping save energy.

Answer

Ans.

Define PEAS
PEAS compromises of Performance Measure, Environment, Actuators, and Sensors which forms a model for the agents in artificial intelligence. It comprises of the task environment for the agent. It helps to define the rationality of the agents.
PEAS for Automated driving cars
Performance: Safety, fast, legal drive, comfort, driver information, predict destination.Environment: Roads, traffic, pedestrians, road signs, Traffic signal, destination.Actuators: Accelerator, steering, brake, signal, horn. Sensors: Camera, sonar, GPS, Speedometer, odometer, accelerometer, engine sensors, keyboard.
Propose appropriate agent type
Intelligent Driving Agent as it uses the sensors like cameras and laser finding to motorize the steering wheel to control the car and drive it by understanding the environment. It also understand the driver and predicts the destination for the driver. Thus also using learning agent.
Suggest the environment type for the above agent.
Partial Observable environment is required as the agent is required to monitor the change in every instance of time and control the car while driving it. It waits for a change to respond to it.
Multi agent because it also takes the help of the robotic agent to view its surroundings and control the steering wheel of the car as reflex agent and also use goals based agent to drive the car to the destination.
Stochastic because the environment change every instant the current state cannot determine the next step.
Sequential as the next action depends on the previous state and changes the state accordingly as required.
It is a dynamic as the environment change frequently, states and the values are also changed frequently.
The environment is continuous as the car continuously travels towards it destination, with responding to the environment activities like traffic and signals.

Live Reviews

Quick Order