Supervisor Agent

Agentic AI

AI systems that can autonomously plan, reason, and take actions to achieve goals with minimal human intervention.

AI Agent

An autonomous software entity that perceives its environment, makes decisions, and takes actions to achieve specified objectives.

Autonomous Agent

An AI agent capable of operating independently, making decisions and taking actions without continuous human oversight.

Reactive Agent

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

Deliberative Agent

An AI agent that maintains an internal model of its world and reasons about actions before executing them.

BDI Architecture

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

Agent Planning

The ability of an AI agent to formulate a sequence of actions to achieve a goal from its current state.

Tool Use

The capability of AI agents to interact with external tools, APIs, and services to extend their functionality.

Agent Hierarchy

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

Agent Sandbox

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

Human-on-the-Loop

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

Agent Autonomy Level

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

An AI agent that interacts with graphical user interfaces by perceiving screen content and executing mouse clicks, keyboard inputs, and navigation actions like a human operator.

A mechanism allowing language models to invoke external functions or APIs based on natural language instructions.

An AI agent that autonomously gathers, synthesises, and analyses information from multiple sources to produce comprehensive research reports on specified topics.

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

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

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

The ability of an AI agent to evaluate its own outputs and reasoning, identifying errors and improving responses.

Standardised evaluation of AI agent capabilities across tasks like tool use, planning, reasoning, and task completion.