hslu-ki-h2401

Planning - KI PHI

Week 02

Introduction

  1. Hi!
  2. Brief overview of AI and its learning mechanisms.

Part 1: AI Learning - Algorithms and Experiences

  1. Brief introduction to machine learning algorithms.
  2. How AI learns through data, patterns, and repetition.
  3. Differences between AI learning and human experiential learning.

Part 2: Human Learning - A Philosophical View

  1. Humans as “unnatural” animals.
  2. Humans: learning through trial and error, not instinct.
  3. Contrast with other animals’ instinct-driven development.

Part 3: Practice

  1. I/O
  2. Preceive it like Jo’: George Berkeley - Objects cannot exist without being perceived
  3. Mo’Bo’: Maurice Merleau Ponty, The perceiving body and its perceived world could not be disentangled from each other

Week 03

Part 1: Trial and Error - A Common Ground ?

  1. The “shared” theme of learning through trial and error in both humans and AI.
  2. Implications of error-making as a learning process.

Part 2: Learning to learn

  1. Attention mechanisms
  2. Memory
  3. Inhinbition and flexibility
  4. Metacognition
  5. Motivation and spirit for changes
  6. Emotions!

Part 3: Practice