Agentennomen

Agentennomen is a term used in linguistics and artificial intelligence to refer to a stable proper-name label assigned to an agent within discourse, simulations, or datasets. The word blends agent and nomen, drawn from Latin, and is used to discuss how agents are identified and tracked across events. The concept is not standardized; it appears in interdisciplinary discussions of referential tracking, anonymization, and agent-based modeling. It is commonly applied to maintain the identity of agents across sentences or frames without disclosing real-world details.

In natural language processing, agentennomen supports coreference and discourse modeling by providing a consistent referential handle for agents. In simulations and interactive narratives, it serves as an anonymized or abstracted label that remains constant as the agent acts and evolves. The approach can facilitate data analysis, provenance tracking, and privacy-preserving research.

Examples are usually presented as label + identity, for instance: "Agentennomen Artemis" can be used to identify an agent across statements: "Artemis opened the door. Artemis closed it." The label helps distinguish Artemis from other agents and allows researchers to trace actions without revealing actual names.

Related concepts include coreference, referential expression, and anonymization practices in data collection. See also: proper name, alias, pseudonym, agent-based modeling.