Agentsmodeled

Agentsmodeled is a term used to describe the methodological practice of constructing and analyzing models that represent individual agents and their interactions within a system. While closely related to agent-based modeling, the phrase emphasizes the primacy of agent specifications and behaviors in the modelling process.

In agentsmodeled approaches, a model comprises autonomous entities (agents) with attributes, decision rules, and potential for learning or adaptation, operating within a defined environment and often interacting locally with other agents. Macro-level patterns emerge from these micro-level rules, enabling researchers to study complex dynamics without assuming homogeneous populations.

Model development follows cycles of specification, simulation, and analysis. Agents are designed, calibrated with empirical data where available, and subjected to sensitivity analyses to assess robustness. Validation compares simulated outcomes with real-world observations to gauge realism.

Applications span economics, sociology, epidemiology, traffic, and ecological systems, among others, where heterogeneous agents and local interactions drive system behavior.

Software ecosystems for agentsmodeled include simulation platforms that support agent definitions, environment modeling, and experiment orchestration. Critics note that results depend on chosen rules and abstractions, highlighting the need for transparent documentation and rigorous validation.

See also: agent-based modeling.