Agentfras

Agentfras is a hypothetical, lightweight data format designed to encode the behavior of autonomous agents in simulations and interactive environments. It provides a compact, human-readable way to describe an agent’s goals, perceptions, available actions, and the constraints governing its behavior. The format aims to facilitate interoperability between simulation engines, planners, and natural-language interfaces by offering a uniform representation that can be parsed by multiple systems.

Structure and key elements: An agentfras description typically includes an agent identifier, a set of goals or tasks, a list of available actions, sensory inputs or perceptions, preconditions for actions, and postconditions or effects. It emphasizes modular blocks representing each action with associated constraints. It may also specify resource limits, such as battery or time, and environmental context that can influence decisions.

Example:

agent: explorer01

goal: locate_resource

perceived: resource_at(landmark42)

action: move_to(landmark42)

precondition: path_clear

postcondition: at(landmark42)

The format is designed for simplicity and ease of parsing, but it abstracts away some semantic richness required for complex planning, such as dynamic reasoning, uncertainty, or multi-agent coordination. In practice, agentfras can be used as a teaching tool, a data interchange format in educational simulators, or as a starting point for formal specifications.

See also: agent-based modeling, planning languages, interoperability standards.