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What is an intelligent agent in AI?OptionsA machine learning model for image recognition.A system that mimics human behavior but lacks autonomy.A computer program that can perform calculations.A software entity that perceives its environment and takes actions to achieve goals.

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What is an intelligent agent in AI?OptionsA machine learning model for image recognition.A system that mimics human behavior but lacks autonomy.A computer program that can perform calculations.A software entity that perceives its environment and takes actions to achieve goals.

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The correct answer is: A software entity that perceives its environment and takes actions to achieve goals.

An intelligent agent in AI is a system that makes decisions or takes actions to achieve a goal based on its perceptions of the environment. These agents can be simple, like a thermostat that turns on the heat when the temperature drops below a certain point, or complex, like a self-driving car that must constantly perceive and respond to its surroundings.

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Similar Questions

Intelligent Agents are computer program that can perform tasks or actions on behalf of a user or another program with some degree of autonomy.Select one:TrueFalse

What is the key characteristic of an intelligent agent?It can solve algebraic equationsIt acts autonomously to achieve goalsIt requires constant human supervisionIt operates only in a predefined environment

"AI" redirects here. For other uses, see AI (disambiguation), Artificial intelligence (disambiguation), and Intelligent agent.Part of a series onArtificial intelligenceshowMajor goalsshowApproachesshowApplicationsshowPhilosophyshowHistoryshowGlossaryvteArtificial 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 which enable machines to perceive their environment and uses learning and intelligence to take actions that maximize their chances of achieving defined goals.[1] Such machines may be called AIs.AI technology is widely used throughout industry, government, and science. Some high-profile applications include advanced web search engines (e.g., Google Search); recommendation systems (used by YouTube, Amazon, and Netflix); interacting via human speech (e.g., Google Assistant, Siri, and Alexa); autonomous vehicles (e.g., Waymo); generative and creative tools (e.g., ChatGPT and AI art); and superhuman play and analysis in strategy games (e.g., chess and Go).[2] However, many AI applications are not perceived as AI: "A lot of cutting edge AI has filtered into general applications, often without being called AI because once something becomes useful enough and common enough it's not labeled AI anymore."[3][4]Alan Turing was the first person to conduct substantial research in the field that he called machine intelligence.[5] Artificial intelligence was founded as an academic discipline in 1956.[6] The field went through multiple cycles of optimism,[7][8] followed by periods of disappointment and loss of funding, known as AI winter.[9][10] Funding and interest vastly increased after 2012 when deep learning surpassed all previous AI techniques,[11] and after 2017 with the transformer architecture.[12] This led to the AI boom of the early 2020s, with companies, universities, and laboratories overwhelmingly based in the United States pioneering significant advances in artificial intelligence.[13]The growing use of artificial intelligence in the 21st century is influencing a societal and economic shift towards increased automation, data-driven decision-making, and the integration of AI systems into various economic sectors and areas of life, impacting job markets, healthcare, government, industry, and education. This raises questions about the long-term effects, ethical implications, and risks of AI, prompting discussions about regulatory policies to ensure the safety and benefits of the technology.The various sub-fields of AI research are centered around particular goals and the use of particular tools. The traditional goals of AI research include reasoning, knowledge representation, planning, learning, natural language processing, perception, and support for robotics.[a] General intelligence—the ability to complete any task performable by a human on an at least equal level—is among the field's long-term goals.[14]To reach these goals, AI researchers have adapted and integrated a wide range of techniques, including search and mathematical optimization, formal logic, artificial neural networks, and methods based on statistics, operations research, and economics.[b] AI also draws upon psychology, linguistics, philosophy, neuroscience, and other fields.[15]

What is the function of an Artificial Intelligence “Agent”?OptionsWeak AI is sometimes referred to as "narrow AI."Work without the direct interference of the peopleMapping of goal sequence to an actionMapping of precept sequence to an action

Artificial intelligence, or AI, is technology that enables computers and machines to simulate human intelligence and problem-solving capabilities.On its own or combined with other technologies (e.g., sensors, geolocation, robotics) AI can perform tasks that would otherwise require human intelligence or intervention. Digital assistants, GPS guidance, autonomous vehicles, and generative AI tools (like Open AI's Chat GPT) are just a few examples of AI in the daily news and our daily lives.

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