Active learning agent - An active learning agent is a system that improves itself by choosing which examples it wants to be taught, instead of passively accepting whatever data it...
Agent - In AI, an agent is anything that perceives its environment and takes actions in it to achieve a goal.
Agent function - An agent function is the mathematical description of an agent's behavior: the complete mapping from everything the agent has perceived so far to the action...
Agent orchestration - Agent orchestration is the coordination of multiple AI agents or tool-using steps so they work together on a larger task: deciding which agent does what, in...
Agent program - An agent program is the actual running software that implements an agent: the code that takes the current percepts and produces the next action.
Agentic loop - An agentic loop is the repeating cycle at the heart of an AI agent: observe the current state, decide the next step, act, read the result, and repeat until...
Agentic workflow - An agentic workflow is a business process in which an AI system moves through several steps toward a goal, choosing some of the steps itself, rather than...
AI agent - An AI agent is a system that uses information about its environment to choose and carry out actions towards a task or objective.
Automation - Automation is the use of technology to perform tasks with reduced human involvement, following defined rules or trained behavior.
Autonomous agent - An autonomous agent is an AI agent that can pursue a goal over many steps without a person directing each step, deciding its own sequence of actions within...
Batched automation - Batched automation is automation that processes work in grouped runs at scheduled times rather than handling each item the moment it arrives.
Cognitive automation - Cognitive automation is automation of work that involves interpreting varied information, such as reading documents, understanding requests or making...
Evaluator agent - An evaluator agent is an AI component whose job is to judge the output of another AI component: scoring, checking or critiquing it so weak results can be...
Generative agents (simulacra) - Generative agents, in the research sense, are simulated people powered by language models that remember, reflect and plan inside a simulated world...
Greedy agent - A greedy agent is an agent that, at each decision, picks the action that looks best right now according to its immediate measure, without searching ahead...
Hybrid agent - A hybrid agent combines two or more decision styles in one agent, typically fast reactive rules for routine situations and slower deliberative reasoning for...
Intelligent process automation - Intelligent process automation, or IPA, is the combination of traditional process automation with AI techniques, so that a workflow can handle varied...
Knowledge-based agents - A knowledge-based agent is an agent that keeps an explicit store of facts and rules about its world, called a knowledge base, and reasons over that store to...
Manager agent - A manager agent is an agent that coordinates other agents: it breaks a task into parts, assigns them, checks the results and combines them, the way a team...
Model-based agent - A model-based agent is an agent that keeps an internal model of how its world works, so it can act sensibly even when its current view is incomplete.
Multi-agent collaboration - Multi-agent collaboration is the coordination of several AI agents that work together on a shared task, communicating and dividing work so the group...
Multiagent planning problem - A multiagent planning problem is the challenge of getting several agents to produce and follow a coordinated plan, when each agent has its own capabilities...
Multiagent systems - Multiagent systems are systems in which several agents share an environment and interact: cooperating, competing or simply coexisting, each pursuing its own...
Orchestration - Orchestration is the coordination of automated tasks, systems and dependencies so they run in the right order, with the right data, and recover properly...
Problem-solving agent - A problem-solving agent is an agent that works toward a goal by searching: it imagines sequences of actions, evaluates where they lead, and chooses a...
Proto-agent - A proto-agent is one of two semantic proto-roles from linguistics: the participant in an event who acts, causes, moves or experiences, as opposed to the...
Rational agent - A rational agent is an agent that, given what it has perceived, chooses the action expected to achieve the best outcome according to its performance measure.
Robotic desktop automation - Robotic desktop automation, or RDA, is software that automates tasks on one person's own computer: it watches the desktop, helps with or performs repetitive...
Robotic process automation - Robotic process automation, or RPA, is software that performs repetitive, rule-based digital tasks by mimicking how a person uses applications: clicking...
Router agent - A router agent is an agent whose job is to decide where work goes: it reads an incoming request and directs it to the right specialist agent, tool, model or...
Simple reflex agent - A simple reflex agent is the most basic kind of agent: it chooses its action from the current percept alone, using condition-action rules, with no memory of...
State machine agent - A state machine agent is an agent built as an explicit set of states and transitions: it is always in one known state, such as waiting, collecting details...
Sub-agent - A sub-agent is an agent that works under another agent's direction: it receives a specific subtask, does it with its own tools or skills, and returns the...