Agent Competition

Multi-Agent System

A system composed of multiple interacting AI agents that collaborate, negotiate, or compete to solve complex problems.

Agent Swarm

A large collection of AI agents operating collaboratively using emergent behaviour patterns to solve complex tasks.

Agent Communication Language

Standardised protocols and languages used for inter-agent communication in multi-agent systems.

Agent Collaboration

The process of multiple AI agents working together, sharing information and coordinating actions to achieve common goals.

Agent Negotiation

The process by which AI agents reach agreements through offers, counteroffers, and compromise strategies.

Emergent Behaviour

Complex patterns and capabilities that arise from the interactions of simpler agent components or rules.

The processes of developing, deploying, monitoring, updating, and retiring AI agents throughout their operational life.

An organisational structure where agents are arranged in levels, with higher-level agents delegating tasks to lower-level ones.

The coordination and management of multiple AI agents working together to accomplish complex workflows.

The accumulated information, history, and environmental state that informs an AI agent's decision-making.

A catalogue of available tools and APIs that agents can discover and invoke, with descriptions, schemas, and authentication details enabling dynamic capability acquisition.

The ability to monitor, trace, and understand the internal states, decisions, and actions of AI agents in production.

The iterative cycle of perception, reasoning, planning, and action execution that drives autonomous agent behaviour.

Methods and metrics for assessing the performance, reliability, and safety of autonomous AI agents.