1. Michael Hercenberg

2.  What is Dynamic Learning?  Leaning in real-time  Why?  Replaces hardcoded scripts  More ‘human’ game opponents  More suitable environments  Other aspects have advanced greatly  Graphics  Voicing  Music  Controls

3.  80’s  Move left, then right  Wait for player  90’s  Search-and-Destroy  Player-like Enemies  00’s  Small advances  Loopholes

4.  Data Mining  Uses data to create next level or encounter  Pro: Drastically alter the world  Con: Needs data and time

5.  Difficulty Scaling  Makes changes in real-time  Pro: Makes corrections when needed  Con: Running real-time can be a strain

6.  Explicit Context Tracking  ‘Windowed’ Data Mining

7.  Dynamic Choice Making  Introduce this into an RPG (Role-Playing Game)  Choices made drastically change the story  Not just give an alternate ending Choice Environment Interactions