As you know, we can define a causal decision theory agent in one line of math.
If you appreciate simplicity/elegance, I suggest looking into UDT. UDT says that when you’re making a choice, you’re deciding the output of a particular computation, and the consequences of any given choice are just the logical consequences of that computation having that output.
CDT in contrast doesn’t answer the question “what am I actually deciding when I make a decision?” nor does it answer “what are the consequences of any particular choice?” even in principle. CDT can only be described in one line of math because the answer to the latter question has to be provided to it via an external parameter.
If you appreciate simplicity/elegance, I suggest looking into UDT. UDT says that when you’re making a choice, you’re deciding the output of a particular computation, and the consequences of any given choice are just the logical consequences of that computation having that output.
CDT in contrast doesn’t answer the question “what am I actually deciding when I make a decision?” nor does it answer “what are the consequences of any particular choice?” even in principle. CDT can only be described in one line of math because the answer to the latter question has to be provided to it via an external parameter.
Thanks, I’ll have a look at UDT.
I certainly agree there.