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or a pokemon that you actually "train" like you would a real animal, following all the principles of animal reinforcement (which you sort of get for free with n

by 0thgen 5y ago

or a pokemon that you actually "train" like you would a real animal, following all the principles of animal reinforcement (which you sort of get for free with neural nets)

miltondts 5y ago
I think black and white had that.
- 0thgen 5y ago
  did not know, nintendo should take inspiration here
MereInterest 5y ago
Black & White, a video game from Peter Molyneux in the early 2000s, had this. Unfortunately, the sequel simplified it to a set of slider bars, the company went under, and now Molyneux is focusing on NFTs and other scams. The Creatures trilogy also had some pretty advanced AI, based on neural nets. They're pretty small by today's standards, but the paper below does a fantastic job of explaining how they are trained while minimizing the computational time. https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.18.9182&rep=rep1&type=pdf https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.18...
- 0thgen 5y ago
  that is absolutely fascinating. curious to read the paper, and see what the major obstacles were, or whether some newer techniques (like federated learning) could make the process more computationally efficient
- AdmiralAsshat 5y ago
  I remember training your creature quite well. Teaching it to play "catch" with a boulder led to some interesting results, including: - You were supposed to pet a creature if he did something correctly. Unfortunately, that same behavior also encouraged him to eat whatever he was holding. So I pet him after he caught a boulder, which then made him eat the boulder.
  - 0thgen 5y ago
    now that is seriously amazing gameplay mechanics
- jointpdf 5y ago
  Fun(?) fact: Demis Hassabis (CEO of DeepMind) was the lead AI programmer for Black & White.
YeGoblynQueenne 5y ago
More than Black & White and Fable, it was the Creatures series that was designed around this ide: Gameplay focuses on raising alien creatures known as Norns, teaching them to survive, helping them explore their world, defending them against other species, and breeding them. Words can be taught to creatures by a learning computer (for verbs) or by repeating the name of the object while the creature is looking at it. After a creature understands language, the player can instruct their creature by typing in instructions, which the creature may choose to obey. A complete life cycle is modelled for the creatures – childhood, adolescence, adulthood, and senescence, each with their own particular needs. The gameplay is designed to foster an emotional bond between the player and their creatures. Rather than taking a scripted approach, Creatures series games were driven by detailed biological and neurological simulation and their unexpected results. https://en.wikipedia.org/wiki/Creatures_(video_game_series) https://en.wikipedia.org/wiki/Creatures_(video_game_series) I bought it on [well-known website that sells old, DRM-free games) but it was a bit... too old? So I never quite played it. So I have no clue how well the whole idea worked out.

by 0thgen 5y ago

or a pokemon that you actually "train" like you would a real animal, following all the principles of animal reinforcement (which you sort of get for free with neural nets)

miltondts 5y ago

I think black and white had that.

0thgen 5y ago
did not know, nintendo should take inspiration here

MereInterest 5y ago

Black & White, a video game from Peter Molyneux in the early 2000s, had this. Unfortunately, the sequel simplified it to a set of slider bars, the company went under, and now Molyneux is focusing on NFTs and other scams. The Creatures trilogy also had some pretty advanced AI, based on neural nets. They're pretty small by today's standards, but the paper below does a fantastic job of explaining how they are trained while minimizing the computational time. https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.18.9182&rep=rep1&type=pdf https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.18...

0thgen 5y ago
that is absolutely fascinating. curious to read the paper, and see what the major obstacles were, or whether some newer techniques (like federated learning) could make the process more computationally efficient
AdmiralAsshat 5y ago
I remember training your creature quite well. Teaching it to play "catch" with a boulder led to some interesting results, including: - You were supposed to pet a creature if he did something correctly. Unfortunately, that same behavior also encouraged him to eat whatever he was holding. So I pet him after he caught a boulder, which then made him eat the boulder.
- 0thgen 5y ago
  now that is seriously amazing gameplay mechanics
jointpdf 5y ago
Fun(?) fact: Demis Hassabis (CEO of DeepMind) was the lead AI programmer for Black & White.

YeGoblynQueenne 5y ago

More than Black & White and Fable, it was the Creatures series that was designed around this ide: Gameplay focuses on raising alien creatures known as Norns, teaching them to survive, helping them explore their world, defending them against other species, and breeding them. Words can be taught to creatures by a learning computer (for verbs) or by repeating the name of the object while the creature is looking at it. After a creature understands language, the player can instruct their creature by typing in instructions, which the creature may choose to obey. A complete life cycle is modelled for the creatures – childhood, adolescence, adulthood, and senescence, each with their own particular needs. The gameplay is designed to foster an emotional bond between the player and their creatures. Rather than taking a scripted approach, Creatures series games were driven by detailed biological and neurological simulation and their unexpected results. https://en.wikipedia.org/wiki/Creatures_(video_game_series) https://en.wikipedia.org/wiki/Creatures_(video_game_series) I bought it on [well-known website that sells old, DRM-free games) but it was a bit... too old? So I never quite played it. So I have no clue how well the whole idea worked out.