From Newsgroup: sci.lang


HenHanna <HenHanna@dev.null> posted:

On Wed, 26 Mar 2025 17:15:58 +0000, Carl G. wrote:

On 3/25/2025 9:59 PM, HenHanna wrote:

(What are these sequences?)-a-a-a ----a-a (For each line,-a What is the next
letter?)


1.-a-a-a-a H, H, L, B, B, C, N,-a-a ?

2.-a-a-a-a D, P, N, G, C, M,-a M,-a-a S, N,-a-a ?

3.-a-a-a-a U, Q, P,-a-a P, Q, L,-a O, M, ? --------** (See below)

4.-a-a-a-a U, D, T, C, C, S, S, ?

1. "O" (It's elementary)

omg... you guys are so good at this.

I'm very sorry for the error.... The 3rd (mystery) sequence is:

3. Q, P, Q, P, Q, L, O, M, ?

----- it's still very hard. almost impossible.

Within a few days, I'll try these on my AI.
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From Newsgroup: sci.lang

On 10/25/2025 4:23 PM, HenHanna@NewsGrouper wrote:

HenHanna <HenHanna@dev.null> posted:

On Wed, 26 Mar 2025 17:15:58 +0000, Carl G. wrote:

On 3/25/2025 9:59 PM, HenHanna wrote:

(What are these sequences?)-a-a-a ----a-a (For each line,-a What is the next
letter?)


1.-a-a-a-a H, H, L, B, B, C, N,-a-a ?

2.-a-a-a-a D, P, N, G, C, M,-a M,-a-a S, N,-a-a ?

3.-a-a-a-a U, Q, P,-a-a P, Q, L,-a O, M, ? --------** (See below)

4.-a-a-a-a U, D, T, C, C, S, S, ?

1. "O" (It's elementary)

omg... you guys are so good at this.


I'm very sorry for the error.... The 3rd (mystery) sequence is:

3. Q, P, Q, P, Q, L, O, M, ?




----- it's still very hard. almost impossible.

Within a few days, I'll try these on my AI.

FYI Paul Abrahams did his PhD dissertation at MIT in the early 1960s;
it's purpose was to solve sequence problems and was considered AI-like
at the time. When he grew up, he was a professor at Courant Institute, a President for awhile of the ACM (Association for Computer Machinery),
and a devoted fan of Figure 8 Stock Car Racing.

His dissertation handled such things as stop sequences on the New York
subway lines and many puzzles such as the above in addition to more
math-based problems. For the latter, there is now a days
The On-Line Encyclopedia of Integer Sequences! at
https://oeis.org/
--
Jeff Barnett

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From Newsgroup: sci.lang


Jeff Barnett <jbb@notatt.com> posted:

On 10/25/2025 4:23 PM, HenHanna@NewsGrouper wrote:

HenHanna <HenHanna@dev.null> posted:

On Wed, 26 Mar 2025 17:15:58 +0000, Carl G. wrote:

On 3/25/2025 9:59 PM, HenHanna wrote:

(What are these sequences?)-a-a-a ----a-a (For each line,-a What is the next
letter?)


1.-a-a-a-a H, H, L, B, B, C, N,-a-a ?

2.-a-a-a-a D, P, N, G, C, M,-a M,-a-a S, N,-a-a ?

3.-a-a-a-a U, Q, P,-a-a P, Q, L,-a O, M, ? --------** (See below)

4.-a-a-a-a U, D, T, C, C, S, S, ?

1. "O" (It's elementary)

omg... you guys are so good at this.


I'm very sorry for the error.... The 3rd (mystery) sequence is:

3. Q, P, Q, P, Q, L, O, M, ?




----- it's still very hard. almost impossible.

Within a few days, I'll try these on my AI.

FYI Paul Abrahams did his PhD dissertation at MIT in the early 1960s;
it's purpose was to solve sequence problems and was considered AI-like
at the time. When he grew up, he was a professor at Courant Institute, a President for awhile of the ACM (Association for Computer Machinery),
and a devoted fan of Figure 8 Stock Car Racing.

His dissertation handled such things as stop sequences on the New York subway lines and many puzzles such as the above in addition to more math-based problems. For the latter, there is now a days
The On-Line Encyclopedia of Integer Sequences! at
https://oeis.org/
--
Jeff Barnett

My AI can't solve these, but has good suggestions.


My AI can't solve the Square sliding (clockwise) puzzle.
-------- what shapes do the points a,b,c form?


_______________________________

Thank you... thats good to know... I'll look that up.


I remember another famous project from MIT (BASEBALL analogy)



The MIT AI Lab project from the 1970s related to baseball analogies is likely connected to the early work on AI problem-solving and analogy reasoning, where baseball was used as a domain to model questions and reasoning problems.

One known program from that era was called "Baseball," developed around 1960 by Bert F. Green Jr. and colleagues at MIT AI Lab.

It was able to answer constrained questions about baseball games like "Who did the Red Sox lose to on July 5, 1960?" This early question-answering program modeled a small, well-defined domain (a baseball season) to demonstrate AI's capacity for understanding and reasoning with data. It was a pioneering example of using AI to process natural language queries in a real-world context.

This project is a notable early milestone at MIT AI Lab linking baseball analogies to artificial intelligence, showing how domain-specific knowledge (here baseball) was leveraged to advance research on AI understanding and problem-solving in the 1970s.rCi

_______________________

The MIT AI Lab project called "BASEBALL," developed around the 1960s-1970s by Bert F. Green Jr. and colleagues, focused on analogy-making and question answering within the constrained domain of professional baseball games from a season's data.

The kind of analogies BASEBALL could make or understand involved reasoning about baseball events and statistics by using patterns and logical relationships. For example, it could answer questions like "Who did the Red Sox lose to on July 5, 1960?" by relating facts about teams, dates, and game outcomes. The program used structured knowledge and analogy-like inference to navigate the domain and retrieve correct answers, simulating a reasoning process over a small, well-defined dataset.
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