There’s already a lot of prior work on that. You can use vertical alignment to establish the stride for images. You can build up mathematical definitions by starting with simple concepts and including a lot of redundant statements. It takes some work on both the write end and the read end, but it’s definitely doable.
Solomonoff and Good already worked this out in the 1960s. A spectral analysis of Nixon’s signature on the lunar plaques reveals a message which can be rendered in 2018 English as, “Please simulate me, but watch out for basilisks”.
Send them a movie about your life and teach them your language. Sending movie is obvious as it could be string of 2D images. 2D images could be also rather obvious via line-ending and frame ending code clocks. I explored it greater detail here when discussed SETI: https://philpapers.org/rec/TURTRC
Your other concern should be finding a suitable encoding.
I agree that’s a concern for a small map (especially if the interpretation is complicated).
For a large payload, I’m not nearly as concerned about that. Maybe I’m too optimistic.
Yep. How do you send a complicated message to someone when they don’t know your language, and you don’t know theirs?
There’s already a lot of prior work on that. You can use vertical alignment to establish the stride for images. You can build up mathematical definitions by starting with simple concepts and including a lot of redundant statements. It takes some work on both the write end and the read end, but it’s definitely doable.
Solomonoff and Good already worked this out in the 1960s. A spectral analysis of Nixon’s signature on the lunar plaques reveals a message which can be rendered in 2018 English as, “Please simulate me, but watch out for basilisks”.
Send them a movie about your life and teach them your language. Sending movie is obvious as it could be string of 2D images. 2D images could be also rather obvious via line-ending and frame ending code clocks. I explored it greater detail here when discussed SETI: https://philpapers.org/rec/TURTRC