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2. Intelligent agent - Wikipedia

   en.wikipedia.org/wiki/Intelligent_agent

   Intelligent agent. In intelligence and artificial intelligence, an intelligent agent ( IA) is an agent acting in an intelligent manner. It perceives its environment, takes actions autonomously in order to achieve goals, and may improve its performance with learning or acquiring knowledge. An intelligent agent may be simple or complex: A ...

3. Software agent - Wikipedia

   en.wikipedia.org/wiki/Software_agent

   Swarm robotics. v. t. e. In computer science, a software agent is a computer program that acts for a user or another program in a relationship of agency. The term agent is derived from the Latin agere (to do): an agreement to act on one's behalf. Such "action on behalf of" implies the authority to decide which, if any, action is appropriate.

4. 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] Intelligence may include methodic, functional, procedural approaches ...

5. Artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Artificial_intelligence

   Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]

6. Agent-oriented programming - Wikipedia

   en.wikipedia.org/wiki/Agent-oriented_programming

   Agent-oriented programming ( AOP) is a programming paradigm where the construction of the software is centered on the concept of software agents. In contrast to object-oriented programming which has objects (providing methods with variable parameters) at its core, AOP has externally specified agents (with interfaces and messaging capabilities ...

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 ought to take actions in a dynamic environment in order to maximize the cumulative reward.