DGC Ep 371: Trespasser (part two) - a podcast by Brett Douville and Tim Longo
from 2023-12-06T16:17:10
Welcome to Dev Game Club, where this week we continue our series on Trespasser: The Lost World. We talk more about the physics of the game, the problems of video game proprioception, and other topics. Dev Game Club looks at classic video games and plays through them over several episodes, providing commentary.
Sections played:
To level 4 (Brett), to level 6 (Tim)
Issues covered: abracadabra, discussing fixed point vs floating point, obvious and easy-to-fix bug or patch problem, backface culling, finding a human space, inelastic collisions vs elastic collisions, physics modeling and fussiness, infinite forces, doors and jambs, physics object modeling, tech demos, the box stair stepping problem, imagining a third person view, spending an hour to get up to a second floor, box vs pill, your arm and proprioception, snaking through doors, being able to rotate the boxes, a diversion into evolutionary/genetic algorithms, the abominable procedural animation, lining up the crosshairs and weird satisfaction, learning how the guns shoot, sniper spotting, procedurally generated animation systems, what works and what looks right, unnatural alive and dead, watching two T-rexes fight, approximating with ideal objects, trees: nemesis edition, sumo or inflatable costumes, standing still and they can still see you, pathing and getting back to a player behind a tree, getting away from the T Rex, emergent behavior, recontextualizing the world to get the magic, a sticky good bad game, scaring off some velociraptors with an empty gun.
Games, people, and influences mentioned or discussed: PlayStation, Minnie Driver, Getting Over It With Bennett Foddy, GIRP, QWOP, Halo, Seamus Blackley, In the Kingdom of Dreams and Madness, Hayao Miyazaki, The Wind Rises, JFK, Spore, No Man's Sky, Soren Johnson, Civilization, Far Cry 2, Reed Knight, TIE Fighter, Arkham Knight, Control, Alan Wake, Kirk Hamilton, Aaron Evers, Mark Garcia.
Next time:
Finish the game!
Notes:
Genetic algorithms was the term Brett was looking for
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