Agentros

Agentros is a term used in computer science and artificial intelligence to denote a class of autonomous, cooperative software agents designed to operate in open, dynamic environments. Agentros emphasize decentralization, modularity, and interoperability across heterogeneous platforms.

Core characteristics include local perception, autonomous decision-making, goal-driven behavior, learning from experience, and the ability to negotiate and coordinate with other agents. They typically run on resource-constrained devices or cloud-based nodes and use standardized communication protocols to exchange state, plans, and commitments.

The architecture of an agentro system typically includes perception, reasoning, and action components, plus a communication interface and a shared or distributed knowledge base. Agents maintain models of other agents, use planning and constraint satisfaction, and adapt strategies through reinforcement learning or case-based reasoning.

Applications: Agentros appear in logistics optimization, distributed sensor networks, smart grids, and disaster response simulations, where independent agents must allocate tasks, share information, and recover from faults with minimal centralized control.

Etymology and usage: The term is used variably across literature and there is no single formal definition. It is sometimes used to describe aggregated agent ecosystems or as a shorthand for "agent-oriented" software. As a concept, it highlights coordination, security, and governance in multi-agent systems.

See also: multi-agent systems, autonomous agents, distributed AI.