Yucong Duan

International Standardization Committee of Networked DIKWP for Artificial Intelligence Evaluation(DIKWP-SC)

World Artificial Consciousness CIC(WAC)

World Conference on Artificial Consciousness(WCAC)

(Email: duanyucong@hotmail.com)

From a young age, I was fascinated by numbers and patterns. The world around me was full of quantities—objects to count, steps to take, and rhythms to observe. Through playful exploration and innate curiosity, I began to notice relationships between numbers and sought to understand them more deeply.

In this narrative, I will detail how, starting from basic experiences as an infant, I independently observed, experimented, and logically deduced what is known as Gauss's Formula for the sum of the first $n$ natural numbers:

S=1+2+3+⋯+n=n(n+1)2S = 1 + 2 + 3 + \dots + n = \frac{n(n + 1)}{2}S=1+2+3+⋯+n=2n(n+1)​

This journey illustrates how a fundamental mathematical concept can emerge from simple observations and reasoning, without relying on subjective definitions or prior formal education.

As I played with toys—blocks, balls, and stuffed animals—I began to associate numbers with quantities.

• Observation: When I had one ball, I could hold it in one hand. Adding another ball meant I had two.

• Reflection: Each additional object corresponded to an increase in count.

• Counting Out Loud: I learned to recite numbers in order: one, two, three, four, five...

• Semantics: Numbers represent specific quantities, and the sequence reflects increasing amounts.

• Observation: Each successive number corresponds to adding one more item.

• Example: Counting blocks placed in a line: the count increases by one with each block added.

• Using Fingers: I would count on my fingers, associating each finger raised with a number.

• Semantics: Physical representation of numbers helps internalize the concept of quantity.

I enjoyed arranging objects in rows and counting them.

• Activity: Lining up marbles or toy cars and counting the total.

• Observation: The total count equals the number of objects lined up.

• Experiment: Creating groups of objects—pairs, triplets.

• Reflection: Grouping changes how I perceive the total quantity but not the total count.

• Example: Combining two groups:

• Group A: 2 apples.

• Group B: 3 apples.

• Total: $2+3=5$ apples.

• Activity: Stacking blocks and counting the total after each addition.

• Observation: The total increases by one with each block added.

• Activity: Counting the number of steps from one place to another.

• Observation: The number of steps is always the same for a given path.

• Experiment: Making multiple trips and keeping a running total of steps.

• Reflection: Summing sequential numbers of steps for each trip.

• Idea: Recording the number of toys I played with each day.

• Data Collection: Day 1: 1 toy, Day 2: 2 toys, Day 3: 3 toys, etc.

• Goal: Find the total number of toys played with over several days.

• Method: Adding the counts for each day.

• Example: Sum of the first 5 numbers:$$S=1+2+3+4+5=15$$

• Observation: The total sum increases rapidly as more numbers are added.

• Reflection: There might be a pattern or formula to calculate the sum without adding each number individually.

• Experiment: Comparing sums of different lengths:

• Sum of first 3 numbers: $1+2+3=6$

• Sum of first 4 numbers: $1+2+3+4=10$

• Sum of first 5 numbers: $1+2+3+4+5=15$

• Observation: The difference between consecutive sums increases by the next number in the sequence.

• $10-6=4$ (which is the 4th number)

• $15-10=5$ (which is the 5th number)

• Question: Is there a way to calculate the total sum for any number $n$ without adding each term?

• Approach: Analyze the sums and look for relationships.

• Option 1: S=n2S = n^2S=n2

• Test: For $n=4$, S=42=16S = 4^2 = 16S=42=16 (but actual sum is 10)

• Conclusion: n2n^2n2 is too large.

• Test: For $n=4$,S=4(4+1)2=4×52=202=10S = \frac{4(4 + 1)}{2} = \frac{4 \times 5}{2} = \frac{20}{2} = 10S=24(4+1)​=24×5​=220​=10

• Test for $n=5$:S=5(5+1)2=5×62=302=15S = \frac{5(5 + 1)}{2} = \frac{5 \times 6}{2} = \frac{30}{2} = 15S=25(5+1)​=25×6​=230​=15

• Observation: This formula matches the calculated sums.

• Idea: Arrange the sequence of numbers in a way that reveals a pattern.

• Sequence: $1,2,3,...,n$

• Method: Pair the first and last numbers, second and second-to-last, etc.

• Example for $n=5$:

• $1+5=6$

• $2+4=6$

• Middle number: $3$ (since $n$ is odd, it remains unpaired)

• Pairs:

• Observation: Each pair sums to the same value.

• When $n$ is even:

• Number of pairs: n2\frac{n}{2}2n​

• Sum of each pair: $n+1$

• Total sum:S=Number of pairs×Sum of each pair=n2(n+1)S = \text{Number of pairs} \times \text{Sum of each pair} = \frac{n}{2} (n + 1)S=Number of pairs×Sum of each pair=2n​(n+1)

• When $n$ is odd:

• Number of pairs: n−12\frac{n - 1}{2}2n−1​

• Middle term: n+12\frac{n + 1}{2}2n+1​

• Total sum:S=(n−12×(n+1))+Middle termS = \left( \frac{n - 1}{2} \times (n + 1) \right) + \text{Middle term}S=(2n−1​×(n+1))+Middle termS=(n−1)(n+1)2+n+12S = \frac{(n - 1)(n + 1)}{2} + \frac{n + 1}{2}S=2(n−1)(n+1)​+2n+1​S=(n2−1)+(n+1)2S = \frac{(n^2 - 1) + (n + 1)}{2}S=2(n2−1)+(n+1)​S=n2+n2=n(n+1)2S = \frac{n^2 + n}{2} = \frac{n(n + 1)}{2}S=2n2+n​=2n(n+1)​

• Observation: The formula S=n(n+1)2S = \frac{n(n + 1)}{2}S=2n(n+1)​ holds for both even and odd $n$.

• Calculation:$$S=1+2+3+4+5+6+7=28$$

• Using Formula:S=7(7+1)2=7×82=562=28S = \frac{7(7 + 1)}{2} = \frac{7 \times 8}{2} = \frac{56}{2} = 28S=27(7+1)​=27×8​=256​=28

• Result: Matches the calculated sum.

• Calculation:$$S=1+2+\cdots +10=55$$

• Using Formula:S=10(10+1)2=10×112=1102=55S = \frac{10(10 + 1)}{2} = \frac{10 \times 11}{2} = \frac{110}{2} = 55S=210(10+1)​=210×11​=2110​=55

• Result: Matches the calculated sum.

• Conclusion: The formula S=n(n+1)2S = \frac{n(n + 1)}{2}S=2n(n+1)​ accurately calculates the sum of the first $n$ natural numbers for any positive integer $n$.

• Benefit: The formula allows for quick calculation of large sums without adding each term individually.

• Example: Calculating the sum up to $n=100$:S=100(100+1)2=100×1012=5050S = \frac{100(100 + 1)}{2} = \frac{100 \times 101}{2} = 5050S=2100(100+1)​=2100×101​=5050

• Insight: Mathematics is full of elegant relationships that can simplify complex problems.

• Semantics: Recognizing patterns leads to deeper understanding and discovery.

• Example 1: Calculating the total number of handshakes in a group of $n$ people (using combinatorics).

• Example 2: Determining the total number of items in a pyramid stacking arrangement.

• Idea: Explore similar formulas for summing squares, cubes, or other sequences.

• Story: As a schoolchild, Carl Friedrich Gauss quickly found the sum of the numbers from 1 to 100 by using this formula.

• Reflection: My independent discovery parallels Gauss's insight.

• Understanding: Many mathematical concepts have been discovered and rediscovered throughout history.

• Inspiration: My journey highlights the universality of mathematical reasoning.

Through playful exploration and logical reasoning, I was able to discover and derive Gauss's formula for the sum of the first $n$ natural numbers. Starting from simple counting and observation of patterns, I sought to find a general relationship that would simplify the calculation of these sums.

This journey demonstrates that fundamental mathematical concepts can emerge naturally from basic experiences. By evolving the semantics of each concept explicitly and grounding them in reality, complex ideas become accessible without the need for subjective definitions or advanced prior knowledge.

Mathematics, at its core, is about recognizing patterns and finding elegant solutions to problems. This discovery not only provided me with a powerful tool for calculation but also deepened my appreciation for the beauty and coherence of mathematical thought.

This narrative illustrates how foundational mathematical principles can be understood through direct interaction with the environment and logical reasoning. In the context of artificial intelligence and cognitive development, it emphasizes the importance of experiential learning and the evolution of semantics from core experiences.

By enabling AI systems to recognize patterns, formulate hypotheses, and test them against observations, we can foster the development of intuitive understanding similar to human learning. This approach avoids reliance on predefined definitions and promotes the natural discovery of mathematical relationships.

Note: This detailed narrative presents the conceptualization of Gauss's formula as if I, an infant, independently observed and reasoned it out. Each concept is derived from basic experiences, emphasizing the natural progression from simple counting to the understanding of a fundamental mathematical formula. This approach demonstrates that with curiosity and logical thinking, foundational knowledge about mathematics can be accessed and understood without relying on subjective definitions.