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CS 4300: Artificial Intelligence

Assignment: PEAS Assessment of Problems

Complete a PEAS assessment for 3 problems. The Performance measure must have a mathematical formulation. The Environment must be classified in each of the 7 categories with an explanation of the class chosen. The Actuators may be described using the actions available to an agent. The Sensors may be described using the percepts available to an agent.

Two of the problems must be selected from those identified and briefly described in the previous assignment. The third problem must be the Lunar Lander environment. It is expected you will take time to study the source code for the environment simulator as you try to document the physics of this environment.

Required Submissions

Passoff

Post your submission to the Canvas assignment.

Sample Solution

CS 4300 - 3 PEAS Assessments - Ash Ketchum

The game of Pokemon GO has a system for advancing the Mega Level of individual pokemon. The mega level system uses time and mega energy to advance an individual’s level. Mega energy can only be obtained by completing raids or walking tasks in the game. A useful AI agent would help plan for when to walk or raid to obtain energy, and when to use energy to advance the level. The optimal result would be maximizing the mega level of a group of pokemon in a minimal amount time, given constraints on raids and walking.

The Performance Measure:

The following elements will be added together and then the negative of the sum will be used to produce the performance measure. The best agent will have the greatest performance measure. Note that the perfect score is 0, which is unobtainable, unless all pokemon are already at maximum Mega Level.

The Environment is:

The Actions (Actuators):

The Percepts (Sensors):

A second problem assessment here.

A third problem assessment here.

Last Updated 08/24/2023