Well File:
- Well Planning ( results)
- Shallow Hazard Analysis ( results)
- Well Plat ( results)
- Wellbore Schematic ( results)
- Directional Survey ( results)
- Fluid Sample ( results)
- Log ( results)
- Density ( results)
- Gamma Ray ( results)
- Mud ( results)
- Resistivity ( results)
- Report ( results)
- Daily Report ( results)
- End of Well Report ( results)
- Well Completion Report ( results)
- Rock Sample ( results)
Cut Garnet Games
Playable Experiences at AIIDE 2016
Zook, Alexander E. (Georgia Institute of Technology) | Cook, Michael (Cut Garnet Games) | Butler, Eric (Golden Glitch Studios) | Siu, Kristin (Golden Glitch Studios) | Guzdial, Matthew (Georgia Institute of Technology) | Riedl, Mark (Georgia Institute of Technology) | Ryan, James (University of California, Santa Cruz) | Samuel, Ben (University of California, Santa Cruz) | Summerville, Adam (University of California, Santa Cruz) | Mateas, Michael (University of California, Santa Cruz) | Wardrip-Fruin, Noah (University of California, Santa Cruz)
The AIIDE Playable Experiences track celebrates innovations in how AI can be used in polished interactive experiences. Four 2016 accepted submissions display a diversity of approaches. Rogue Process combines techniques for medium-permanence procedurally generated hacking worlds. Elsinore applies temporal predicate logic to enable a time-traveling narrative with character simulation. A novel level generator uses conceptual blending to translate Mario Bros. design styles across levels. And Bad News uses deep simulation of a town and it's residents to ground a mixed-reality performance. Together these playable experiences showcase the opportunities for AI in interactive experiences.