Description

 

Lab 1 – AI, Agents, and Environments

Part 1 – Introduction

Complete the following exercises from the “book”— https://aimacode.github.io/aima-exercises/intro-exercises/

1. Exercise 1.1
2. Exercise 1.9
3. Exercise 1.18

Part 2 – Intelligent Agents

Complete the following exercises from the “book”– https://aimacode.github.io/aima-exercises/agentsexercises/

1. Exercise 2.4 (exclude the PEAS exercise)
2. Exercise 2.5
3. Exercise 2.6

Part 3 – Code Exploration

1. Visit https://github.com/aimacode/aima-python and follow the Installation Guide.
2. Note that you will need the following to do this:
   1. git
   2. Python 3.7 or 3.8 (64-bit version)

 

2. Using Jupyter, open the following Jupyter notebook, located inside the aima-python directory: a. ipynb

 

3. Trace through the code, and answer the following questions.

 

• Question 1: Explain how the BlindDog is an agent. Be sure to describe it in terms of PEAS properties, and how those properties evolved over the course of the activity. What is the agent function?
• Question 2: Does the EnergeticBlindDog change the PEAS description above? Why or Why Not?
• Question 3: Explain the Park environment in terms of the following environmental considerations.

o          Fully observable / Partially Observable o            Deterministic / Stochastic o             Episodic / Sequential o Static / Dynamic / Semidynamic o          Discrete / Continuous o    Single agent / Multiagent

• Question 4: Does the Park2D environment change any of the environmental considerations? Why or Why Not?