What does this research mean for the field?

It is engineeringly feasible to integrate cognitive state, genetic representation, and behavioral encoding onto a common 64-dimensional mathematical substrate within a multi-paradigm artificial-life architecture. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

Design and verify an integrated artificial-life architecture that represents an agent's cognitive dynamics, genetic code, and behavior on a shared 64-dimensional mathematical substrate.

September 14, 2026Open Access

GeNeSIS V: An Iterative Engineering Case Study in Multi-Paradigm Articial Life Architecture

View Full Paper

Ask AI

Bookmark

Authors

DDDevanik DebnathNational Institute of Technology Agartala

Discussion

Member takes

Implication

Engineering case study demonstrates a unified 64-dimensional substrate for agent cognition and genomics, highlighting trade-offs in multi-paradigm artificial life simulations.

Key Points

Design and verify an integrated artificial-life architecture that represents an agent's cognitive dynamics, genetic code, and behavior on a shared 64-dimensional mathematical substrate.
Engineered an agent core using a 64-dimensional Hilbert space where symbolic genomes are derived from the Hamiltonian eigenbasis, linked to reaction-diffusion, ecological, and cultural dynamics.
Enforced a 2 GB memory ceiling via procedural terrain, bounded populations, and lightweight environment models implemented across twelve modular components.
Verified architecture integrity through state normalization, Hamiltonian Hermiticity checks, chemical mass conservation, and Betti-number topological analyses.
Population regulation functioned stably, and verification suites successfully identified and corrected chemical concentration representations and calibration errors.
The system failed to generate intended tribal and phylogenetic diversification because agents developed near-identical Hamiltonian spectral structures, which prevented affiliation metrics from diverging.

Cite This Study

Devanik Debnath (2026) studied this question.

synapsesocial.com/papers/6aa7b3bf0926e14a848b2e38 https://doi.org/10.5281/zenodo.22721328

View Full Paper

Ask AI

Bookmark

Implication

Engineering case study demonstrates a unified 64-dimensional substrate for agent cognition and genomics, highlighting trade-offs in multi-paradigm artificial life simulations.

GeNeSIS V: An Iterative Engineering Case Study in Multi-Paradigm Articial Life Architecture

Discussion

Member takes

Implication

Key Points

Cite This Study

GeNeSIS V: An Iterative Engineering Case Study in Multi-Paradigm Articial Life Architecture

Discussion

Member takes

Implication

Key Points

Cite This Study

Also Consider

Also Consider