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  2. Intelligent agent - Wikipedia

    en.wikipedia.org/wiki/Intelligent_agent

    In intelligence and artificial intelligence, an intelligent agent (IA) is an agent that perceives its environment, takes actions autonomously in order to achieve goals, and may improve its performance with learning or acquiring knowledge. Agentic AI, a subset of intelligent agents, expands this concept by autonomously pursuing goals, making ...

  3. Soar (cognitive architecture) - Wikipedia

    en.wikipedia.org/wiki/Soar_(cognitive_architecture)

    Soar [1] is a cognitive architecture, [2] originally created by John Laird, Allen Newell, and Paul Rosenbloom at Carnegie Mellon University.. The goal of the Soar project is to develop the fixed computational building blocks necessary for general intelligent agentsagents that can perform a wide range of tasks and encode, use, and learn all types of knowledge to realize the full range of ...

  4. Agent architecture - Wikipedia

    en.wikipedia.org/wiki/Agent_architecture

    Agent architecture in computer science is a blueprint for software agents and intelligent control systems, depicting the arrangement of components. The architectures implemented by intelligent agents are referred to as cognitive architectures. [1] The term agent is a conceptual idea, but not defined precisely.

  5. Will 2025 Be the Year of Artificial Intelligence (AI) Agents ...

    www.aol.com/2025-artificial-intelligence-ai...

    AI agents can be deployed to do mundane work that people often do. Examples could include data entry, interacting with customers, or maintaining inventory counts. Basically, AI is moving beyond a ...

  6. Cognitive architecture - Wikipedia

    en.wikipedia.org/wiki/Cognitive_architecture

    Thus, a cognitive architecture can also refer to a blueprint for intelligent agents. It proposes (artificial) computational processes that act like certain cognitive systems. Most often, these processes are based on human cognition, but other intelligent systems may also be suitable. Cognitive architectures form a subset of general agent ...

  7. Reinforcement learning - Wikipedia

    en.wikipedia.org/wiki/Reinforcement_learning

    Reinforcement learning (RL) is an interdisciplinary area of machine learning and optimal control concerned with how an intelligent agent should take actions in a dynamic environment in order to maximize a reward signal.

  8. Multi-agent system - Wikipedia

    en.wikipedia.org/wiki/Multi-agent_system

    A multi-agent system (MAS or "self-organized system") is a computerized system composed of multiple interacting intelligent agents. [1] Multi-agent systems can solve problems that are difficult or impossible for an individual agent or a monolithic system to solve. [ 2 ]

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