Agent Swarm

Multi-Agent System

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

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.

The degree of independence an AI agent has in making and executing decisions without human approval.

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

An AI agent that autonomously navigates web pages, fills forms, extracts information, and completes online tasks by controlling a browser through programmatic or visual interfaces.

An AI agent that interprets datasets, generates visualisations, performs statistical analysis, and produces actionable insights through autonomous exploratory data investigation.

A system design where human oversight and approval are required at critical decision points in automated processes.

A specific capability or function that an AI agent can perform, such as web search, code execution, or data analysis.

The storage mechanism enabling AI agents to retain and recall information from previous interactions and experiences.

Belief-Desire-Intention — an agent architecture where agents reason about beliefs, desires, and intentions to decide actions.