Agents on English AI Terms Dictionary

Virtual Intelligence

Sat, 18 Jul 2026 10:19:24 +0000

Definition

Virtual Intelligence encompasses any artificial intelligence system designed to function within a virtual or digital space, often interacting with users or other agents. This includes virtual assistants, autonomous NPCs in games, and simulated entities in digital twins. The core focus is on creating intelligent behaviors that mimic human cognition or social interaction within non-physical realms, enabling tasks ranging from customer service to complex simulation modeling.

Summary

Virtual Intelligence is a broad term describing AI systems that operate within digital environments to simulate human-like interaction, decision-making, or autonomy.

Rabbit r1

Sat, 18 Jul 2026 10:13:22 +0000

Definition

The Rabbit r1 is a dedicated hardware device launched by Rabbit Inc., centered around its proprietary Large Action Model (LAM). Unlike general-purpose smartphones, it focuses on performing specific digital actions across various apps via voice commands. It aims to replace app-switching with a unified AI interface that understands intent and executes complex workflows independently.

Summary

A handheld AI-powered device featuring the Large Action Model (LAM) designed to execute tasks autonomously.

Principle of rationality

Sat, 18 Jul 2026 10:11:27 +0000

Definition

This principle posits that an agent’s actions should be chosen to maximize its expected performance measure, given its perceptual inputs and prior knowledge. It serves as the bedrock for decision theory and reinforcement learning, guiding agents to select optimal strategies in uncertain environments. By adhering to this principle, AI systems can make logically consistent choices that align with defined goals, ensuring efficiency and effectiveness in task execution.

Summary

The foundational assumption that intelligent agents act to maximize their expected utility based on available information.

Learning automaton

Sat, 18 Jul 2026 10:04:43 +0000

Definition

This concept originates from reinforcement learning and involves an agent interacting with an unknown environment. The automaton selects actions from a finite set and receives a penalty or reward signal. Based on this feedback, it adjusts the probability distribution over its actions using a learning algorithm, gradually converging toward the optimal action that yields the highest expected reward. It serves as a foundational block for more complex multi-agent systems.

KAoS

Sat, 18 Jul 2026 10:03:27 +0000

Definition

KAoS is an intelligent agent framework developed to handle the complexity of large-scale, distributed enterprise systems. It utilizes a policy-based approach where high-level management goals are translated into executable actions by autonomous agents. By monitoring system states and enforcing policies, KAoS automates configuration management, fault detection, and resource allocation. This framework enhances operational efficiency and reliability in dynamic IT infrastructures without requiring constant human intervention.

Summary

An intelligent agent framework designed to manage complex, distributed enterprise environments through policy-based automation.

Intelligent agent

Sat, 18 Jul 2026 10:02:57 +0000

Definition

An intelligent agent is a system capable of perceiving its surroundings through sensors or data inputs, processing this information using reasoning algorithms, and acting upon the environment via actuators or API calls to maximize goal achievement. Unlike static scripts, agents can adapt to dynamic conditions, learn from feedback, and operate autonomously over extended periods, making them essential for complex decision-making scenarios.

Summary

An autonomous software entity that perceives its environment, reasons about actions, and executes tasks to achieve specific goals.

Fuzzy agent

Sat, 18 Jul 2026 09:58:48 +0000

Definition

A fuzzy agent operates within environments where data is often ambiguous or incomplete, employing fuzzy logic systems rather than binary true/false states. By using membership functions and linguistic variables, these agents can make nuanced decisions that mimic human reasoning under uncertainty. This approach allows for smoother control mechanisms and adaptive behaviors in dynamic systems, making them particularly effective in robotics, industrial automation, and smart home systems where rigid rules fail to capture real-world complexity.

CrewAI

Sat, 18 Jul 2026 09:52:00 +0000

Definition

CrewAI provides a structured environment for building multi-agent systems where each agent has a specific role, goal, and set of tools. It simplifies the creation of workflows by allowing developers to define how agents interact, delegate tasks, and share information. This framework is particularly useful for automating complex business processes that require coordination between different specialized AI entities, enhancing efficiency and scalability in agent-based applications.

Summary

CrewAI is a framework for orchestrating role-playing autonomous AI agents to collaborate on complex tasks.

Autonomous Agent

Sat, 18 Jul 2026 09:47:37 +0000

Definition

In artificial intelligence, an autonomous agent is an entity that operates independently within an environment. It uses sensors to perceive states and actuators to perform actions, guided by an internal decision-making process or policy. These agents can adapt to dynamic changes and pursue objectives over time, ranging from simple reflex-based bots to complex systems like self-driving cars or robotic explorers. Their autonomy level varies based on the degree of human oversight required during operation.

Automated negotiation

Sat, 18 Jul 2026 09:47:17 +0000

Definition

Automated negotiation involves software agents that represent human interests in bargaining processes. These agents use game theory, optimization algorithms, and machine learning to propose offers, evaluate counter-proposals, and determine optimal strategies to maximize utility. It is widely used in e-commerce, supply chain management, and resource allocation where speed and efficiency are critical.

Summary

The use of AI agents to autonomously conduct negotiations and reach agreements between parties.

Key Concepts

Multi-Agent Systems
Game Theory
Utility Functions
Bargaining Protocols

Use Cases

Dynamic pricing in e-commerce
Supply chain contract management
Resource sharing in cloud computing

AI agent

Sat, 18 Jul 2026 09:43:55 +0000

Definition

An AI agent is a software entity that operates autonomously within a defined environment to accomplish predefined objectives. It utilizes perception mechanisms to gather data, processes this information using reasoning models, and executes actions via actuators or APIs. Unlike passive models, agents can plan, learn from feedback, and adapt their behavior over time, making them suitable for complex tasks requiring decision-making and interaction with dynamic systems.

Summary

An autonomous system designed to perceive its environment and take actions to achieve specific goals.

Tool Use

Sat, 18 Jul 2026 09:43:02 +0000

Definition

Tool Use enables language models to interact with external software environments by calling predefined functions, such as calculators, search engines, or database queries. This approach extends the model’s utility by allowing it to access real-time data or perform precise computations that pure text generation cannot achieve. It transforms static models into dynamic agents capable of complex, multi-step problem-solving through structured interaction with third-party services.

Summary

A paradigm where AI agents select and execute external functions or APIs to perform specific tasks beyond their native capabilities.

ReAct

Sat, 18 Jul 2026 09:42:48 +0000

Definition

The ReAct framework enables LLMs to generate both reasoning traces and task-specific actions in an interleaved manner. By simulating human-like thought processes, it allows models to interact with external environments, such as search engines or calculators, to verify facts and solve problems step-by-step. This synergy reduces hallucinations and enhances the accuracy of responses in question-answering and planning scenarios.

Summary

ReAct is a prompting paradigm that combines reasoning and acting to improve the performance of large language models on complex tasks.

Multi-Agent System

Sat, 18 Jul 2026 09:41:40 +0000

Definition

Multi-agent systems consist of several independent agents, each potentially specializing in different tasks or domains. These agents communicate and coordinate their actions to achieve a common goal, often mimicking human team dynamics. This paradigm enhances robustness, parallelism, and modularity, allowing for complex workflows like research, coding, or strategic planning by breaking tasks into manageable sub-goals handled by specialized agents.

Summary

An architectural approach where multiple autonomous AI agents collaborate, compete, or coordinate to solve complex problems that exceed individual capabilities.

Function Calling

Sat, 18 Jul 2026 09:41:13 +0000

Definition

Function calling enables large language models to interact with external tools and APIs by generating structured outputs, such as JSON objects, that specify which function to execute and what arguments to pass. This bridges the gap between natural language understanding and programmatic action, allowing models to perform calculations, retrieve real-time data, or control devices without hallucinating code. It is essential for building robust agentic workflows where the model acts as a controller for external systems rather than just a text generator.

Agentic

Sat, 18 Jul 2026 09:39:58 +0000

Definition

The term ‘agentic’ describes AI agents that operate with a high degree of autonomy. Unlike passive models that simply predict text or classify data, agentic systems can break down complex objectives into sub-tasks, use tools, interact with environments, and iterate on their actions to solve problems. This paradigm shifts AI from being a reactive tool to a proactive collaborator. These systems often employ memory, planning mechanisms, and reflection loops to improve performance over time, enabling them to handle dynamic and unstructured real-world scenarios effectively.

decision-making

Sat, 18 Jul 2026 09:38:20 +0000

Definition

In artificial intelligence, decision-making refers to the algorithmic process where a system evaluates potential actions against specific criteria or objectives to select the optimal outcome. This involves analyzing state observations, predicting consequences, and applying utility functions or reward structures to maximize long-term goals. It is fundamental to autonomous agents, robotics, and strategic planning systems that operate in dynamic environments without constant human intervention.

Summary

The cognitive process of selecting a course of action from multiple alternatives based on available information.

Self

Sat, 18 Jul 2026 09:36:45 +0000

Definition

While current AI lacks consciousness, the term ‘self’ often describes meta-cognitive capabilities where a model analyzes its own outputs, confidence levels, or internal states. It appears in contexts like self-supervised learning, where models generate their own labels, or in agentic frameworks that maintain a persistent state or memory to simulate continuity of identity across interactions.

Summary

In AI, ‘self’ refers to the concept of an agent’s identity or its capacity for self-referential processing and introspection.

Action

Sat, 18 Jul 2026 09:30:04 +0000

Definition

In artificial intelligence and robotics, an action refers to a specific step or decision taken by an intelligent agent to interact with its environment. Actions are selected based on the current state of the environment and the agent’s policy, aiming to achieve predefined goals or maximize rewards. They form the fundamental unit of behavior in reinforcement learning and autonomous systems, bridging perception and outcome.

Summary

An operation performed by an agent to influence its environment.

Agents on English AI Terms Dictionary

Virtual Intelligence

Definition

Summary

Rabbit r1

Definition

Summary

Principle of rationality

Definition

Summary

Learning automaton

Definition

KAoS

Definition

Summary

Intelligent agent

Definition

Summary

Fuzzy agent

Definition

CrewAI

Definition

Summary

Autonomous Agent

Definition

Automated negotiation

Definition

Summary

Key Concepts

Use Cases

Related Terms

AI agent

Definition

Summary

Tool Use

Definition

Summary

ReAct

Definition

Summary

Multi-Agent System

Definition

Summary

Function Calling

Definition

Agentic

Definition

decision-making

Definition

Summary

Self

Definition

Summary

Action

Definition

Summary