The idea of a shared environment arises because the proposed machine—in which the human-like values are to be implemented—is to live in the same world as the human. So, one does not need to specify all the details of the environment—since these are shared naturally between the agents in question.
10 bits short of the needed message, not a 10-bit message. I mean that e.g. an approximation gives 100 bits when full accuracy would be 110 bits (and 10 bits is an upper bound).
The idea of a shared environment arises because the proposed machine—in which the human-like values are to be implemented—is to live in the same world as the human. So, one does not need to specify all the details of the environment—since these are shared naturally between the agents in question.
That still doesn’t answer my point; it just shows how once you have one agent, adding others is easy. It doesn’t show how getting the first, or the “general” agent is easy.
Re: “That still doesn’t answer my point; it just shows how once you have one agent, adding others is easy. It doesn’t show how getting the first, or the “general” agent is easy.”
To specify the environment, choose the universe, galaxy, star, planet, lattiude, longitude and time. I am not pretending that information is simple, just that it is already there, if your project is building an intelligent agent.
Yes, I got that the first time. I don’t think you are appreciating the difficulty of coding even relatively simple utility functions. A couple of ASCII characters is practically nothing!
ASCII characters aren’t a relevant metric here. Getting within 10 bits of the correct answer means that you’ve narrowed it down to 2^10 = 1024 distinct equiprobable possibilities [1], one of which is correct. Sounds like an approximation to me! (if a bit on the lower end of the accuracy expected out of one)
[1] or probability distribution with the same KL divergence from the true governing distribution
10 bits!!! That’s not much of a message!
The idea of a shared environment arises because the proposed machine—in which the human-like values are to be implemented—is to live in the same world as the human. So, one does not need to specify all the details of the environment—since these are shared naturally between the agents in question.
10 bits short of the needed message, not a 10-bit message. I mean that e.g. an approximation gives 100 bits when full accuracy would be 110 bits (and 10 bits is an upper bound).
That still doesn’t answer my point; it just shows how once you have one agent, adding others is easy. It doesn’t show how getting the first, or the “general” agent is easy.
Re: “That still doesn’t answer my point; it just shows how once you have one agent, adding others is easy. It doesn’t show how getting the first, or the “general” agent is easy.”
To specify the environment, choose the universe, galaxy, star, planet, lattiude, longitude and time. I am not pretending that information is simple, just that it is already there, if your project is building an intelligent agent.
Re: “10 bits short of the needed message”.
Yes, I got that the first time. I don’t think you are appreciating the difficulty of coding even relatively simple utility functions. A couple of ASCII characters is practically nothing!
ASCII characters aren’t a relevant metric here. Getting within 10 bits of the correct answer means that you’ve narrowed it down to 2^10 = 1024 distinct equiprobable possibilities [1], one of which is correct. Sounds like an approximation to me! (if a bit on the lower end of the accuracy expected out of one)
[1] or probability distribution with the same KL divergence from the true governing distribution