When does a person or organization want to quantify how much uncertainty 
exists in a proposition? 
I could imagine a red-to-green gauge in an e-mail program or web browser that 
would prioritize, or label content based on the degree of underspecification, 
BS, or internal inconsistency therein. Maybe decision makers would be 
interested in computing expected values (profitability) for outcomes based on 
probability ranges or truthiness? 

It seems to me that LLVMs give the building blocks one would need to 
characterize distributions like this -- sample responses at finite temperature 
and tabulate them. There is a tendency of commercial LLMs today to hedge and 
not to commit to one interpretation. That’s what I really want in an advisor: 
Someone that will commit to a position and give me piles of evidence for it and 
counter evidence against it. Claude can be infuriating in how it will just say 
“You’re right” and immediately abandon a coding approach. (Don’t abandon it, 
convince me you are right.) Worse is if a LLM builds the response around a 
hidden bias of the asker, picking up on subtle indications that the user is an 
anti-vaxxer, and then feeding them anti-vaxxer propaganda. Now that is a 
destructive and all too prevalent kind of nihilism these days. 

From: Friam <friam-boun...@redfish.com> on behalf of glen <geprope...@gmail.com>
Date: Friday, December 13, 2024 at 6:52 AM
To: friam@redfish.com <friam@redfish.com>
Subject: Re: [FRIAM] Ramsification and Semantic Indeterminacy 

I know most (all?) of you don't care. But here's a conversation with Claude 
starting with the same prompt Pieter used with GPT. It's sad that I had to 
*feed* the answer to Claude. The summary I posted earlier prompted with 
Leitgeb's entire paper. Such prompt-responses tend to be more trustworthy 
because the context is right there in the prompt. But clearly neither Claude 
nor GPT could tell (or cared to tell?) that Ramsey Semantics is *meta*. Is it 
bullsh¡t or condescension? 8^D Anyway, here it is:

me: "Please compare in one relatively short paragraph Ramsey semantics and 
fuzzy logic."

claude-3.5-sonnet: "Ramsey semantics and fuzzy logic are two different 
approaches to handling uncertainty and truth values in logic, but they operate 
on fundamentally different principles. Ramsey semantics, developed by Frank 
Ramsey, deals with conditional statements and their truth values based on 
belief updating and probability, focusing on how we should change our beliefs 
when we learn new information. In contrast, fuzzy logic, introduced by Lotfi 
Zadeh, allows for partial truth values between 0 and 1, rather than just true 
or false, making it particularly useful for handling vague or imprecise 
information where propositions can be partially true. While Ramsey semantics is 
more closely tied to probability theory and belief revision, fuzzy logic is 
more concerned with representing and reasoning about gradual properties and 
continuous-valued logic."

me: "Given this footnote from Hannes Leitgeb's paper entitled Ramsification and 
Semantic Indeterminacy: 'This motivation for Ramsifying classical semantics is 
orthogonal to instrumentalist or functionalist motivations: the point of Ramsey 
semantics is neither to show that talk of interpretation is merely instrumental 
nor to convey insights into the ‘nature’ of truth, but to deal with semantic 
indeterminacy. In contrast, e.g., Wright’s [85] paper on Ramsification and 
monism-vs.-pluralism-about-truth does not apply Ramsification for the sake of 
doing semantics and in fact presupposes semantic determinacy (see [85], p. 
272).' How would you change the above answer?"

claude-3.5-sonnet: "Here's a revised comparison that better reflects Leitgeb's 
point: Ramsey semantics and fuzzy logic represent different approaches to 
handling semantic uncertainty, but with distinct purposes and frameworks. 
Ramsey semantics, as Leitgeb emphasizes, is specifically aimed at dealing with 
semantic indeterminacy in classical semantics, rather than serving 
instrumentalist or functionalist goals about the nature of truth. Fuzzy logic, 
on the other hand, introduced by Lotfi Zadeh, provides a framework for handling 
vagueness through partial truth values between 0 and 1, operating within a 
determined semantic framework. While both approaches deal with forms of 
uncertainty, Ramsey semantics addresses fundamental semantic indeterminacy in 
classical logic, whereas fuzzy logic works within established semantic 
frameworks to handle gradual or imprecise truth values."

me: "OK. That's better. But what still seems to be missing is that Ramsey 
Semantics and Fuzzy Logic are entirely different things and comparing them 
seems like a category error. Ramsey Semantics is about schematic predicates 
where some conditions are not satisfied (e.g. square root of -1, which is 
undefined). Fuzzy Logic is about continuous values to true-false predicates 
assuming the predicate and all its conditions are well-defined. Perhaps we 
might say Ramsey Semantics is meta-logical whereas Fuzzy Logic is merely 
logical?"

claude-3.5-sonnet: "Yes, you've identified a crucial distinction I failed to 
capture. Here's a better comparison that acknowledges their fundamental 
difference: Comparing Ramsey semantics and fuzzy logic directly is somewhat of 
a category error, as they operate at different logical levels and address 
entirely different concerns. Ramsey semantics is a meta-logical framework 
dealing with semantic indeterminacy where predicates or conditions are 
undefined or not fully satisfied (like the square root of -1), focusing on the 
very meaning and interpretation of logical statements. Fuzzy logic, in 
contrast, operates at the logical level, providing a calculus for handling 
degrees of truth in well-defined predicates where all conditions are satisfied 
but truth values can be continuous rather than binary. While both deal with 
forms of uncertainty, they do so in fundamentally different domains: Ramsey 
semantics addresses meta-logical questions about meaning and interpretation, 
while fuzzy logic provides tools for reasoning about gradual truth values 
within an already well-defined semantic framework."


On 12/12/24 22:36, Pieter Steenekamp wrote:
> This is such an intriguing discussion, but regrettably, I don’t have the time 
> to engage fully. I do, however, want to quickly address Glen's question to me 
> from way back at the start of this thread about my prompt on Ramsey semantics 
> and fuzzy logic. My prompt to ChatGPT was: "Please compare in one relatively 
> short paragraph Ramsey semantics and fuzzy logic."
> 
> On Thu, 12 Dec 2024 at 16:20, glen <geprope...@gmail.com 
> <mailto:geprope...@gmail.com <mailto:geprope...@gmail.com>>> wrote:
> 
> Interesting. What was your prompt?
> 
> It's important to remember that Claude and GPT are prone to bullsh¡t. When 
> asked to compare apples to oranges, they will happily and confidently make 
> the comparison even if it's a category error. Leitgeb's footnote might be of 
> use:
> 
> "This motivation for Ramsifying classical semantics is orthogonal to 
> instrumentalist or
> functionalist motivations: the point of Ramsey semantics is neither to show 
> that talk of
> interpretation is merely instrumental nor to convey insights into the 
> ‘nature’ of truth, but
> to deal with semantic indeterminacy. In contrast, e.g., Wright’s [85] paper 
> on Ramsification
> and monism-vs.-pluralism-about-truth does not apply Ramsification for the 
> sake of doing
> semantics and in fact presupposes semantic determinacy (see [85], p. 272)."
> 
> where [85] is:
> 
> Wright, C. (2010). Truth, Ramsification, and the pluralist’s revenge. 
> Australasian Journal of Philosophy, 88(2), 265–283. 
> https://philpapers.org/archive/writra.pdf 
> <https://philpapers.org/archive/writra.pdf> 
> <https://philpapers.org/archive/writra.pdf 
> <https://philpapers.org/archive/writra.pdf>>
> 
> On 12/11/24 21:55, Pieter Steenekamp wrote:
> > Different strokes for different okes, indeed. In my realm of AI — and 
> > previously in control systems — fuzzy logic has been the trusty spanner for 
> > tackling vagueness. Seeking a fresh perspective, I turned to ChatGPT, which 
> > delivered this thoughtful comparison:
> >
> > "Ramsey semantics and fuzzy logic both grapple with vagueness but chart 
> > fundamentally different courses. Ramsey semantics clings to the rigorous 
> > shores of classical logic and binary truth values (true/false), navigating 
> > semantic indeterminacy by emphasizing the roles terms occupy rather than 
> > insisting on their precision, making it a philosophical and theoretical 
> > endeavor. Meanwhile, fuzzy logic boldly abandons binary constraints, 
> > introducing gradations of truth (e.g., 0.3 or 0.7), rendering it an elegant 
> > mathematical tool for practical domains like control systems and AI. Where 
> > Ramsey semantics contemplates the hazy edges of meaning, fuzzy logic 
> > quantifies vagueness as a smooth gradient between truth and falsehood."
> >
> > I must admit, ChatGPT's knack for juxtaposing the lofty with the practical 
> > was a pleasant surprise—perhaps an unintended nod to my eclectic career 
> > path!
> >
> > On Thu, 12 Dec 2024 at 02:45, glen <geprope...@gmail.com 
> > <mailto:geprope...@gmail.com <mailto:geprope...@gmail.com>> 
> > <mailto:geprope...@gmail.com <mailto:geprope...@gmail.com 
> > <mailto:geprope...@gmail.com>>>> wrote:
> >
> >
> > https://philpapers.org/rec/LEIRAS-3 <https://philpapers.org/rec/LEIRAS-3> 
> > <https://philpapers.org/rec/LEIRAS-3 <https://philpapers.org/rec/LEIRAS-3>> 
> > <https://philpapers.org/rec/LEIRAS-3 <https://philpapers.org/rec/LEIRAS-3 
> > <https://philpapers.org/rec/LEIRAS-3>>>
> >
> > via https://mastodon.social/@dailyn...@zirk.us 
> > <https://mastodon.social/@dailyn...@zirk.us> 
> > <https://mastodon.social/@dailyn...@zirk.us 
> > <https://mastodon.social/@dailyn...@zirk.us>> 
> > <https://mastodon.social/@dailyn...@zirk.us 
> > <https://mastodon.social/@dailyn...@zirk.us 
> > <https://mastodon.social/@dailyn...@zirk.us>>>
> >
> > I found this paper by Weinberg's post to Mastodon through the write up of 
> > Leitbeg's projects here:
> > https://gepris.dfg.de/gepris/person/85399322?language=en 
> > <https://gepris.dfg.de/gepris/person/85399322?language=en> 
> > <https://gepris.dfg.de/gepris/person/85399322?language=en 
> > <https://gepris.dfg.de/gepris/person/85399322?language=en>> 
> > <https://gepris.dfg.de/gepris/person/85399322?language=en 
> > <https://gepris.dfg.de/gepris/person/85399322?language=en 
> > <https://gepris.dfg.de/gepris/person/85399322?language=en>>>
> > I didn't find any papers on scholar or philpapers talking directly about 
> > the reference patterns of paradox through graph theory. But both his 
> > composition of similarity and non-eliminative structuralism were graph 
> > heavy. Good stuff. I have yet to read the ramsification paper. But, as 
> > usual, here's Claude's summary of it:
> >
> > > - Classical semantics presupposes the existence of a unique factually 
> > > determined intended interpretation of a language. However, there are 
> > > reasons to doubt this presupposition holds in general, due to phenomena 
> > > like vagueness, structuralism in mathematics, and theory change in 
> > > science.
> > >
> > > - The author proposes Ramsey semantics as an alternative that avoids 
> > > presupposing a unique intended interpretation. Instead, it merely 
> > > postulates the existence of an admissible interpretation from which truth 
> > > is defined classically.
> > >
> > > - Formally, Ramsey semantics replaces the intended interpretation I in 
> > > classical semantics with an epsilon term εF(F∈Adm) that "picks" an 
> > > interpretation from the class Adm of admissible interpretations. Truth is 
> > > then defined relative to this interpretation.
> > >
> > > - Ramsey semantics preserves the key features of classical semantics - 
> > > classical logic, a classical concept of truth, compositionality, 
> > > bivalence, etc. But it allows the intended interpretation to be 
> > > indeterminate when Adm contains more than one member.
> > >
> > > - The author argues Ramsey semantics is closer to classical semantics 
> > > than supervaluationism while still allowing semantic indeterminacy. It 
> > > provides reasonable treatments of the Sorites paradox, higher-order 
> > > vagueness, and interpretational continuity between theories.
> > >
> > > - Overall, Ramsey semantics aims to capture the advantages of classical 
> > > semantics while being less risky, by not presupposing semantic 
> > > determinacy. It shows how semantic indeterminacy can be reconciled with 
> > > an otherwise classical approach to meaning and truth.
> -- 
-- 
¡sıɹƎ ןıɐH ⊥ ɐןןǝdoɹ ǝ uǝןƃ
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