HTN Planning in Transformers: Fall of Cybertron | AI and Games #14

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Published on ● Video Link: https://www.youtube.com/watch?v=kXm467TFTcY



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In previous videos, we have discussed the Goal Oriented Action Planning (GOAP) framework: a game AI method adopting classical STRIPS-based planning for the F.E.A.R. trilogy. In this video, we look at the evolution of planning in games, focussing on the Transformers: Cybertron series by High Moon Studios. We not only discuss how GOAP was adopted in the series, but also introduce an alternate method, known as Hierarchical Task Network (HTN) planning.

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Read the accompanying blog post on AI and Games:
http://aiandgames.com/cybertron-intel/

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Music used in this video taken from "Transformers: The Movie" (1986), specifically:
The Touch" by Stan Bush.
"The Transformers" by LION
"Hunger" by Spectre General (Kick Axe)
"Autobots vs Decepticons", "Through the Monster's Eye" and "United Against the Enemy" by Vince DiCola.

Special thanks to the following developers and researchers whose work is discussed in this video (in order I remembered to add you).

Rory Driscoll
Alex Champandard
Troy Humphries
Eric Jacopin







Tags:
HTN Planning
Transformers
War for Cybertron
Fall of Cybertron
game AI
Hierarchical Task Network Planning
AI Planning
Artificial Intelligence
AI
ai and games
goal oriented action planning
game transformers
hierarchical task network
transformers games



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