Multi-Agent System

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 Competition

A multi-agent scenario where agents pursue conflicting objectives, leading to adversarial or game-theoretic interactions.

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.

A system where humans monitor AI operations and can intervene when necessary, but don't approve every action.

An isolated environment where AI agents can safely execute actions and experiment without affecting production systems.

An AI agent that formulates and pursues explicit goals, planning actions to achieve desired outcomes.

An agent that oversees and coordinates the work of other agents, making high-level decisions and resolving conflicts.

An AI agent that responds to environmental stimuli with predefined actions without maintaining an internal model of the world.

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

Breaking down complex tasks into smaller, manageable subtasks that can be distributed among AI agents.

An agent architecture that interleaves reasoning traces and action steps, enabling language models to plan dynamically and use external tools to solve multi-step problems.