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Groups > comp.lang.prolog > #15097
| From | Mild Shock <janburse@fastmail.fm> |
|---|---|
| Newsgroups | sci.physics, sci.physics.relativity, comp.lang.prolog |
| Subject | A logical calculus in nervous activity [McCulloch & Pitts 1943] (Re: Turing machines have neurons) |
| Date | 2025-12-02 17:20 +0100 |
| Message-ID | <10gn3ko$114kh$4@solani.org> (permalink) |
| References | (2 earlier) <10gjqeu$t54i$2@solani.org> <10gjsij$t6es$2@solani.org> <10gjsu5$t6s1$1@solani.org> <10gn3hj$114kh$2@solani.org> <10gn3j7$114kh$3@solani.org> |
Cross-posted to 3 groups.
Hi, You might also try this here: McCulloch, Warren S.; Pitts, Walter (1943-12-01). "A logical calculus of the ideas immanent in nervous activity". The Bulletin of Mathematical Biophysics. 5 (4): 115–133. https://www.cs.cmu.edu/~epxing/Class/10715/reading/McCulloch.and.Pitts.pdf It has a simple neuron model, and shows for example in Figure 1. How it can act in a Boolean algebra way. If you have Booean algebra, you can also build finite state machine. You can encode state as bit vectors. Bye Mild Shock schrieb: > Hi, > > The head of a turing machine is usually a finite > state machine. That digests the tape reading, and > creates a new top writing or head movement. > > A finite state machines complexity can be measured > in the number of states. Transitions between states > are labeled with tape reading and tap wrinting/ > > head movement. So the state is not what is writte > on the tape. Its an internal state. Its relatively > easy to turn a finite state machine, into an > > artificial neural network. Already ChatGPT does that, > when reads tokens and writes tokens, just like > a turning machine. > > "A Turing machine is a mathematical model of > computation describing an abstract machine that > manipulates symbols on a strip of tape according > to a table of rules" > https://en.wikipedia.org/wiki/Turing_machine > > Its really funnny how people really need some > ear bleeding to understand the two sides, > symbolism and connectionsim. > > Have Fun! > > Bye > > Mild Shock schrieb: >> Hi, >> >> Do not underestimate turing machines. I said neurons >> in the "head". But a turing machine has two parts a "head" >> and a moving "tape". It can then write ZFC formulas on >> >> a "tape". But I haven't studied the proposals yet, >> >> but its from here: >> >> The Undecidability of BB(748) >> Understanding Gödel’s Incompleteness Theorems >> Johannes Riebel - March 2023 >> https://www.ingo-blechschmidt.eu/assets/bachelor-thesis-undecidability-bb748.pdf >> >> >> The problem was proposed already here: >> >> The Busy Beaver Frontier >> Scott Aaronson >> https://www.scottaaronson.com/papers/bb.pdf >> >> Bye >> >> Richard Damon schrieb: >> > On 12/1/25 6:08 AM, Mild Shock wrote: >> >> Hi, >> >> >> >> Quizz: How much neurons are necessary in the >> >> head of turning machine, to simulate ZFC? >> > >> > Which is just a category error, as ZFC is a set of definitions, and >> thus not something that can be "simulated" >> > >> > Also, "Turning Machines" (if you mean Turing Machines) don't have >> "neurons". >> > >> >> >> >> You have possibly to look up some modelling >> >> of the logic of ZFC by Bernays. Don't know the >> >> >> >> details but maybe check out: >> >> >> >> The Undecidability of BB(748) >> >> Understanding Godels Incompleteness Theorems >> >> Johannes Riebel - March 2023 >> >> >> https://www.ingo-blechschmidt.eu/assets/bachelor-thesis-undecidability- bb748.pdf >> >> >> >> >> Bye >> > >> > But that "Modeling" isn't the sort of thing you "simulate". >> > >> > One problem is we haven't found a way to actually "reason" with >> "neurons". >> >> >> Mild Shock schrieb: >>> Hi, >>> >>> Quizz: How much neurons are necessary in the >>> head of turning machine, to simulate ZFC? >>> >>> You have possibly to look up some modelling >>> of the logic of ZFC by Bernays. Don't know the >>> >>> details but maybe check out: >>> >>> The Undecidability of BB(748) >>> Understanding Godels Incompleteness Theorems >>> Johannes Riebel - March 2023 >>> https://www.ingo-blechschmidt.eu/assets/bachelor-thesis-undecidability-bb748.pdf >>> >>> >>> Bye >>> >>> Mild Shock schrieb: >>>> Hi, >>>> >>>> I am doing the wake-up call until everybody >>>> gets ear-bleeding. It just too cringe to >>>> see the symbolics computing morons struggle >>>> >>>> with connectionism. But given that humans >>>> have a brain with neurons, it should be obvious >>>> that symbolism and connectionism are just two >>>> >>>> sides of the same coin. >>>> >>>> Good Luck! >>>> >>>> Bye >>>> >>>> Mild Shock schrieb: >>>>> Hi, >>>>> >>>>> 1) Classical computing = Boolean logic + von Neumann architecture >>>>> >>>>> For decades, all mainstream computation was built on: >>>>> Boolean algebra >>>>> Logic gates >>>>> Scalar operations executed sequentially >>>>> Memory and compute as separate blocks >>>>> Even floating-point arithmetic was implemented on top of Boolean >>>>> logic. >>>>> >>>>> This shaped how programmers think — algorithms expressed >>>>> as symbolic operations, control flow, and discrete steps. >>>>> >>>>> 2) AI accelerators break from that model >>>>> >>>>> Modern accelerators — GPUs, TPUs, NPUs, and custom matrix >>>>> engines — use a different computational substrate: >>>>> >>>>> Instead of Boolean logic: >>>>> → Bulk linear algebra over vectors/tensors >>>>> >>>>> Instead of instruction-by-instruction control: >>>>> → Dataflow graphs >>>>> >>>>> Instead of sequential compute on registers: >>>>> → Massively parallel fused-multiply-add units >>>>> >>>>> Instead of manually orchestrated loops: >>>>> → High-level declarative specs (XLA, MLIR, TVM) >>>>> >>>>> Have Fun! >>>>> >>>>> Bye >>>>> >>>>> Mild Shock schrieb: >>>>>> Hi, >>>>>> >>>>>> Wonder why the Coq proof even should be >>>>>> different from anything that AI could produce. >>>>>> Its not a typical Euclid proof in a few steps, >>>>>> >>>>>> it rather uses also enumeration, just like the >>>>>> Fly Speck proof, for the Keppler Conjecture. So >>>>>> lets see what happens next, could AlphaEvolve >>>>>> >>>>>> find the sixth busy beaver? >>>>>> >>>>>> Bye >>>>>> >>>>>> P.S.: Here picture of an old Busy Beaver ASIC >>>>>> (Application-Specific Integrated Circuit) >>>>>> >>>>>> Application Fun >>>>>> Technology 1500 >>>>>> Manufacturer VLSI Tech >>>>>> Type Semester Thesis >>>>>> Package DIP64 >>>>>> Dimensions 3200μm x 3200μm >>>>>> Gates 2 kGE >>>>>> Voltage 5 V >>>>>> Clock 20 MHz >>>>>> >>>>>> The Busy Beaver Coprocessor has been designed to solve the Busy >>>>>> Beaver Function for 5 states. This function (also known as the >>>>>> Rado's Sigma Function) is an uncomputable problem from information >>>>>> theory. The input argument is a natural number 'n' that represents >>>>>> the complexity of an algorithm described as a Turing Machine. >>>>>> http://asic.ethz.ch/cg/1990/Busy_Beaver.html >>>>>> >>>>>> Mild Shock schrieb: >>>>>>> Hi, >>>>>>> >>>>>>> What we thought: >>>>>>> >>>>>>> Prediction 5 . It will never be proved that >>>>>>> Σ(5) = 4,098 and S(5) = 47,176,870. >>>>>>> -- Allen H. Brady, 1990 . >>>>>>> >>>>>>> How it started: >>>>>>> >>>>>>> To investigate AlphaEvolve’s breadth, we applied >>>>>>> the system to over 50 open problems in mathematical >>>>>>> analysis, geometry, combinatorics and number theory. >>>>>>> The system’s flexibility enabled us to set up most >>>>>>> experiments in a matter of hours. In roughly 75% of >>>>>>> cases, it rediscovered state-of-the-art solutions, to >>>>>>> the best of our knowledge. >>>>>>> https://deepmind.google/blog/alphaevolve-a-gemini-powered-coding-agent-for-designing-advanced-algorithms/ >>>>>>> >>>>>>> >>>>>>> How its going: >>>>>>> >>>>>>> We prove that S(5) = 47, 176, 870 using the Coq proof >>>>>>> assistant. The Busy Beaver value S(n) is the maximum >>>>>>> number of steps that an n-state 2-symbol Turing machine >>>>>>> can perform from the all-zero tape before halting, and >>>>>>> S was historically introduced by Tibor Radó in 1962 as >>>>>>> one of the simplest examples of an uncomputable function. >>>>>>> The proof enumerates 181,385,789 Turing machines with 5 >>>>>>> states and, for each machine, decides whether it halts or >>>>>>> not. Our result marks the first determination of a new >>>>>>> Busy Beaver value in over 40 years and the first Busy >>>>>>> Beaver value ever to be formally verified, attesting to the >>>>>>> effectiveness of massively collaborative online research >>>>>>> https://arxiv.org/pdf/2509.12337 >>>>>>> >>>>>>> They claim not having used much AI. But could for >>>>>>> example AlphaEvolve do it somehow nevertheless, more or >>>>>>> less autonomously, and find the sixth busy beaver? >>>>>>> >>>>>>> Bye >>>>>> >>>>> >>>> >>> >> >
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What is analog computing nowadays? (Re: An old Busy Beaver ASIC (Application-Specific Integrated Circuit) (Was: Could AlphaEvolve find the sixth busy beaver ?) Mild Shock <janburse@fastmail.fm> - 2025-12-01 11:25 +0100
Wake-up call until everybody gets ear-bleeding (Re: What is analog computing nowadays?) Mild Shock <janburse@fastmail.fm> - 2025-12-01 12:01 +0100
BB(745) is independent of ZFC (Was: Wake-up call until everybody gets ear-bleeding) Mild Shock <janburse@fastmail.fm> - 2025-12-01 12:07 +0100
Write ZFC formulas on a tape (of a Turing machine) (Re: BB(745) is independent of ZFC ) Mild Shock <janburse@fastmail.fm> - 2025-12-02 17:18 +0100
Turing machines have neurons (Re: Write ZFC formulas on a tape (of a Turing machine)) Mild Shock <janburse@fastmail.fm> - 2025-12-02 17:19 +0100
A logical calculus in nervous activity [McCulloch & Pitts 1943] (Re: Turing machines have neurons) Mild Shock <janburse@fastmail.fm> - 2025-12-02 17:20 +0100
Busy Beaver and Theory Consistency (Was: A logical calculus in nervous activity [McCulloch & Pitts 1943]) Mild Shock <janburse@fastmail.fm> - 2025-12-02 17:39 +0100
Busy Beaver and Theory Consistency (Was: A logical calculus in nervous activity [McCulloch & Pitts 1943]) Mild Shock <janburse@fastmail.fm> - 2025-12-02 17:43 +0100
Re: Busy Beaver and Theory Consistency (Was: A logical calculus in nervous activity [McCulloch & Pitts 1943]) Mild Shock <janburse@fastmail.fm> - 2025-12-02 23:18 +0100
Re: What is analog computing nowadays? (Re: An old Busy Beaver ASIC (Application-Specific Integrated Circuit) (Was: Could AlphaEvolve find the sixth busy beaver ?) Maciej Woźniak <mlwozniak@wp.pl> - 2025-12-01 12:09 +0100
parallel random-access machine (parallel RAM or PRAM (Was: What is analog computing nowadays?) Mild Shock <janburse@fastmail.fm> - 2025-12-01 12:15 +0100
Re: parallel random-access machine (parallel RAM or PRAM (Was: What is analog computing nowadays?) Maciej Woźniak <mlwozniak@wp.pl> - 2025-12-01 13:23 +0100
Nope, you can't, because of the CRCW instuction (Was: parallel random-access machine) Mild Shock <janburse@fastmail.fm> - 2025-12-01 17:12 +0100
Algorithm introduced in Hogwild! SGD (Niu et al., 2011) (Was: Nope, you can't, because of the CRCW instuction) Mild Shock <janburse@fastmail.fm> - 2025-12-01 17:31 +0100
PRAMs might be closer to physics: Boltzman machines, etc.. (Was: Algorithm introduced in Hogwild! SGD) Mild Shock <janburse@fastmail.fm> - 2025-12-01 18:02 +0100
Re: Nope, you can't, because of the CRCW instuction (Was: parallel random-access machine) Maciej Woźniak <mlwozniak@wp.pl> - 2025-12-01 17:59 +0100
PRAMs might be closer to physics: Boltzman machines, etc.. (Re: Nope, you can't, because of the CRCW instuction) Mild Shock <janburse@fastmail.fm> - 2025-12-01 18:05 +0100
PRAMs might be closer to physics: Boltzman machines, etc.. (Re: Nope, you can't, because of the CRCW instuction) Mild Shock <janburse@fastmail.fm> - 2025-12-01 18:08 +0100
Physics more difficult than Rasperry LED cube? (Was: PRAMs might be closer to physics: Boltzman machines, etc..) Mild Shock <janburse@fastmail.fm> - 2025-12-01 18:25 +0100
Re: parallel random-access machine (parallel RAM or PRAM (Was: What is analog computing nowadays?) Thomas Heger <ttt_heg@web.de> - 2025-12-03 07:17 +0100
Re: parallel random-access machine (parallel RAM or PRAM (Was: What is analog computing nowadays?) Python <python@cccp.invalid> - 2025-12-03 06:46 +0000
Re: parallel random-access machine (parallel RAM or PRAM) Thomas 'PointedEars' Lahn <PointedEars@web.de> - 2025-12-03 08:02 +0100
Linux kernel's RCU-protected hash tables (Re: Algorithm introduced in Hogwild! SGD (Niu et al., 2011)) Mild Shock <janburse@fastmail.fm> - 2025-12-01 22:26 +0100
String interning is HashSet and not HashMap (Was: Linux kernel's RCU-protected hash tables) Mild Shock <janburse@fastmail.fm> - 2025-12-01 22:40 +0100
POINT OF VIEW OF AN ALGORITHM (Re: Algorithm introduced in Hogwild! SGD (Niu et al., 2011)) (Re: parallel random-access machine) Mild Shock <janburse@fastmail.fm> - 2025-12-01 23:12 +0100
Introduction to AMBA® 4 ACE™ (2011) (Was: POINT OF VIEW OF AN ALGORITHM) Mild Shock <janburse@fastmail.fm> - 2025-12-01 23:37 +0100
Sputnik Schock: Academia is Disposable [I. J. Good Ultraintelligence] (Was: Introduction to AMBA® 4 ACE™ (2011)) Mild Shock <janburse@fastmail.fm> - 2025-12-01 23:53 +0100
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