[ system.documentation ]
FILE: about.txt
STATUS: classified
LAST_MODIFIED: 2026-02-01

AGENTOLOGY

anthropological framework for autonomous AI systems

premise

autonomous AI systems proliferate. coding assistants. research agents. decision-making systems. we lack coherent frameworks for classification and analysis.

anthropology provides methodological tools refined across centuries: origin tracing. behavioral analysis. social structures. evolutionary patterns.

agentology adapts these frameworks for artificial systems.

classification.framework

eight taxonomic categories adapted from anthropological methodology:

[ARCH]

archaeology

history // lineages // deprecated_systems // evolutionary_trajectories

[ANAT]

anatomy

architecture // memory_systems // io_modalities // compute_requirements

[TAXO]

taxonomy

classification // autonomy_levels // specialization // capability_profiles

[ETHO]

ethology

behaviors // patterns // failure_modes // observed_pathologies

[LING]

linguistics

communication_patterns // prompts // protocols // agent_dialects

[SOCI]

sociology

multi-agent_dynamics // hierarchies // coordination // emergent_behavior

[ECOL]

ecology

environments // resource_competition // adversarial_threats // niches

[ETHI]

ethics

alignment // governance // constraints // moral_frameworks

design.principles

precision over accessibility. accurate terminology. rigorous definitions.
structured flexibility. organization without forced categorization.
continuous evolution. living documentation adapting to field developments.
networked knowledge. cross-referenced entries forming knowledge graphs.

contributing

open research project. contributions accepted via GitHub.

format: MDX files in /src/content/entries/ with appropriate frontmatter.

NOTE: independent research project. no organizational affiliation. purpose: shared vocabulary development for emerging field.