peragent

Peragent is a term used in computer science to describe a design principle in which a system’s data, policies, and decisions are maintained on a per-agent basis rather than centralized for all agents. The concept is commonly applied in multi-agent systems, agent-based modeling, and distributed software architectures where autonomous agents operate with a degree of independence.

Core ideas of peragent include data isolation for each agent, per-agent state machines, individualized policies, and per-agent communication patterns. By design, peragent supports customization and accountability by recording agent-specific histories and decisions, making it easier to audit outcomes and enforce agent-level constraints.

Applications for peragent appear in simulations with large numbers of agents, such as economic or traffic models, and in scalable AI ecosystems where each agent represents a user or component. It is also used in privacy-preserving designs that minimize cross-agent data sharing and in customer service ecosystems that route interactions to the most appropriate agent. In Internet of Things contexts, peragent can help enforce device-specific rules and configurations.

Advantages of the approach include improved modularity, scalability, and traceability of decisions, as well as better enforcement of agent-specific constraints. Challenges involve increased design and coordination complexity, higher memory and communication overhead, and the need for robust synchronization mechanisms to maintain a consistent global view when required.

Related concepts include multi-agent systems, agent-based modeling, per-agent policy, and distributed systems. Peragent can be implemented in various architectures and is often adapted to balance locality with necessary inter-agent coordination.