On Mon, Dec 16, 2024 at 12:15 PM <[email protected]> wrote: > It can play TicTacToe? Could it play Pick the Bit on commodity hardware in > a sandboxed environment? > https://agi.topicbox.com/groups/agi/T705ed500a1a7e589/pick-the-bit-and-competitive-computing-platform-towards-a-new-benchma > ndngrk-for-agi-system-performance > <https://agi.topicbox.com/groups/agi/T705ed500a1a7e589/pick-the-bit-and-competitive-computing-platform-towards-a-new-benchmark-for-agi-system-performance> > Or > equivalently, could it generate an agent in an assembly language ( > https://webassembly.org/) that runs on commodity hardware that can play > Pick the Bit? >
Hello, long time no see 😁 There are 2 levels: we humans understand the objective of the game right from the start. A simple reinforcement-learning (RL) agent does not "know" what's going on, it just learns from rewards. I guess RL can learn multi-agent, cooperative games. By observing play moves and outcomes, the RL agent could build a "model" of the game, which is equivalent to understanding the game. On another level, an AGI with human-like understanding can read the game description and start playing with meaningful moves right away. ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T8685950780e86bd5-M7bee84836efd9afa26039fb7 Delivery options: https://agi.topicbox.com/groups/agi/subscription
