Agent Negotiation

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 Competition

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

Emergent Behaviour

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

The strategic process of redesigning business operations around autonomous AI agents to achieve hyperscale efficiency.

The sequential composition of multiple AI agents where each agent's output becomes the input for the next, creating automated pipelines for complex multi-stage processes.

The complete set of possible actions available to an AI agent in a given environment, defining the boundaries of what the agent can do to accomplish its objectives.

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

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

Safety constraints imposed on AI agents that limit their action space, prevent dangerous operations, enforce budgets, and require approval for irreversible decisions.

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

An agentic architecture where a planning module decomposes goals into ordered tasks and a separate executor carries them out, enabling complex multi-step problem solving.