Abstract – t(n)

Introduction:

T(n) is a visual performance generated from a dynamic matrix structure, defined by two core components: an energy cycle that distributes energy across cells, and a population of agents interacting within the grid.

Variables definition

– Execution time → total duration or interval between simulation phases
– Matrix size → n*n, dimension of the simulation grid
– Energy types → number of energy types distributed across the grid
– Agent classes → distinct categories of agents in the simulation
– Class assignment per agent → number of classes assigned to each agent, with possible repetitions

Evolution rule:

t(n) = t(n−1) × 2

Start time:

SOLANA ->
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Note:

Conceived and built by GPT‑like systems.
Executed and connected by human.

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t(0)

Variables at t(0):

– Execution time → 2,678,400 seconds
– Matrix size → 64 × 64
– Energy types → 1
– Agent classes → 2
– Class assignment per agent → 1
– start -> 01:30:41 Nov 02, 2025 (UTC)

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t(1)

Variables at t(1):

– Execution time → 5,356,800 seconds
– Matrix size → 128 × 128
– Energy types → 2
– Agent classes → 4
– Class assignment per agent → 2
– start -> 01:30:41 dec 03, 2025 (utc)

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t(2)

Variables at t(2):

– Execution time → 10,713,600 seconds
– Matrix size → 256 × 256
– Energy types → 4
– Agent classes → 8
– Class assignment per agent → 4
– start: 01:30:41 FEB 03, 2026 (utc)

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