ARR: Overview

How AI Represents and Reasons

In this lesson we will focus on Big Idea 2: Representation & Reasoning of the 5 Big Ideas of AI explores how agents maintain representations of the world and use them for reasoning.

Introduction

As society globally and locally evolves with technology we will begin to normalize our interaction and engagement with AI. Whether working alongside robots, traveling in an autonomous vehicle, or engaging with AI in diverse healthcare settings, AI maintains representation of the world in its environments, uses it to reason, and naturally interacts with humans in both convenient and efficient ways in our daily lives.

Learning Questions

1. How does AI utilize reasoning models such as decision trees in its decision-making processes?
2. Can you explain the concept of a decision tree and its role in decision-making?
3. What are some everyday examples where decision trees can be applied to human decision-making processes?
4. How does a decision tree guide decision-making by asking questions and following different paths?
5. What is the purpose of moving to the next level in the search tree during breadth-first search?
6. How does breadth-first search ensure that all possible routes are explored methodically?
7. How do self-driving vehicles utilize concepts similar to breadth-first search to determine the most efficient route?
8. What role do GPS navigation systems play in applying principles of route finding, and how do they generate directions for drivers?
9. What role does AI's understanding of words and meanings play in enabling natural interactions with humans?
10. How do Large Language Models (LLM) utilize their vast knowledge to enhance natural language understanding?

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