I'm confused by several parts of your reply. I'll select just two of them for discussion. Perhaps you'll have the motivation to try to un-confuse me.
I don't understand your points about the axioms he uses. He uses the axioms required to derive the useful results he aimed for, given his approach to formalizing decision problems, and no more than that. Do you reject the plausibility of one of his axioms, or do you disagree that his results follow from his axioms?
I don't think Peterson denies the usefulness of traditional axiomatic decision theory for checking the consistency of one's preferences, he's just saying that it would also be nice to have a decision theory that can tell you what you should choose given what you believe and what you value. Indeed, this is what many/most people actually do when trying to make decisions "rationally," but this norm wasn't justified with an axiomatic approach until Peterson (as far as I can tell).
He uses the axioms required to derive the useful results he aimed for, given his approach to formalizing decision problems, and no more than that.
Can you give me two examples of useful results he derives from the axioms? That'll help me target my response. (I should note that the commentary in the grandparent is targeted at the 2004 paper in the context of the other things you've quoted on this page; if there's relevant material in one of the other links I probably missed it.)
...I don't think Peterson denies the usefulness of traditional axiomatic decis
In the standard approach to axiomatic Bayesian decision theory, an agent (a decision maker) doesn't prefer Act #1 to Act #2 because the expected utility of Act #1 exceeds that of Act #2. Instead, the agent states its preferences over a set of risky acts, and if these stated preferences are consistent with a certain set of axioms (e.g. the VNM axioms, or the Savage axioms), it can be proven that the agent's decisions can be described as if the agent were assigning probabilities and utilities to outcomes and then maximizing expected utility. (Let's call this the ex post approach.)
Peterson (2004) introduces a different approach, which he calls the ex ante approach. In many ways, this approach is more intuitive. The agent assigns probabilities and utilities directly to outcomes (not acts), and these assignments are used to generate preferences over acts. Using this approach, Peterson claims to have shown that the principle of expected utility maximization can be derived from just four axioms.
As Peterson (2009:75,77) explains:
Jensen (2012:428) calls the ex ante approach "controversial," but I can't find any actual published rebuttals to Peterson (2004), so maybe Jensen just means that Peterson's result is "new and not yet percolated to the broad community."
Peterson (2008) explores the ex ante approach in more detail, under the unfortunate title of "non-Bayesian decision theory." (No, Peterson doesn't reject Bayesianism.) Cozic (2011) is a review of Peterson (2008) that may offer the quickest entry point into the subject of ex ante axiomatic decision theory.
Peterson (2009:210) illustrates the controversy nicely:
I'm not a decision theory expert, so I'd be very curious to hear what LW's decision theorists think of the axiomatization in Peterson (2004) — whether it works, and how significant it is.