{"id":4748,"date":"2024-04-18T18:46:32","date_gmt":"2024-04-19T01:46:32","guid":{"rendered":"https:\/\/blog.sociamonials.com\/glossary\/intelligent-agent\/"},"modified":"2024-04-18T18:46:32","modified_gmt":"2024-04-19T01:46:32","slug":"intelligent-agent","status":"publish","type":"glossary","link":"https:\/\/blog.sociamonials.com\/fr\/glossary\/agent-intelligent\/","title":{"rendered":"Agent intelligent"},"content":{"rendered":"<p>A component of <a class=\"glossaryLink\" href=\"https:\/\/blog.sociamonials.com\/fr\/glossary\/intelligence-artificielle\/\" target=\"_blank\" data-mobile-support=\"0\" data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex=\"0\" role=\"link\">artificial intelligence<\/a><span id=\"cmttFootnoteLink1-0\" class=\"cmtt-footnote\"><sup><a class=\"et_smooth_scroll_disabled cmtt_footnote_link cmtt-footnote-deflink\" href=\"#cmttFootnoteLink1\" style=\"font-size: 14px; color: #325afb; font-style : none ;\">[1]<\/a><\/sup><\/span> known as an intelligent agent, perceives its surroundings via sensors and interacts with them through actuators. These entities are engineered to optimize the value of a performance metric based on their prior experiences and acquired knowledge. Not merely reactive, they can adjust to environmental alterations and proactively strive to accomplish predetermined objectives. Intelligent agents can be categorized into various types, such as simple reflex agents, model-based reflex agents, goal-based agents, utility-based agents, and learning agents. They are utilized in a wide range of applications, including the creation of autonomous systems, software agents, and in the execution of cognitive science research. Intelligent agents provide a methodical approach for testing and contrasting various AI programs, simultaneously bridging the divide between AI and economics.<\/p>\n<div class=\"cmtt-footnotes-block\"><div class=\"cmtt-footnote-header\">Terms definitions<\/div><div class=\"cmtt-footnote-header-border\"><\/div><div class=\"cmtt-footnote-def \" id=\"cmttFootnoteLink1\"><span class=\"cmtt-footnote-def-number\">1. <\/span><span class=\"cmtt-footnote-def-back\"><a class=\"cmtt_footnote_link cmtt-footnote-backlink\" href=\"#cmttFootnoteLink1-0\" style=\"font-size: 14px; color: #325afb; font-style : none ;\"> &#8593; <\/a><\/span><span class=\"cmtt-footnote-def-key\"> <a aria-describedby=\"tt\" href=\"https:\/\/blog.sociamonials.com\/fr\/glossary\/intelligence-artificielle\/\" class=\"glossaryLink\" target=\"_blank\">artificial intelligence<\/a>. <\/span><span class=\"cmtt-footnote-def-content\"> The discipline of Artificial Intelligence (AI) is a subset of computer science dedicated to developing systems capable of executing tasks usually requiring human intellect, such as reasoning, learning, planning, perception, and language comprehension. Drawing upon diverse fields such as psychology, linguistics, philosophy, and neuroscience, AI is instrumental in the creation of machine learning models and natural language processing systems. It also significantly contributes to the development of virtual assistants and affective computing systems. AI finds applications in numerous sectors like healthcare, industry, government, and education. However, it also brings up ethical and societal issues, thus requiring regulatory policies. With the advent of sophisticated techniques like deep learning and generative AI, the field continues to expand, opening up new avenues in various sectors. <\/span><\/div><\/div><div class=\"cmtt-footnote-bottom-border\"><\/div>","protected":false},"excerpt":{"rendered":"<p>A component of artificial intelligence known as an intelligent agent, perceives its surroundings via sensors and interacts with them through actuators. These entities are engineered to optimize the value of a performance metric based on their prior experiences and acquired knowledge. Not merely reactive, they can adjust to environmental alterations and proactively strive to accomplish [&hellip;]<\/p>\n<div class=\"cmtt-footnotes-block\">\n<div class=\"cmtt-footnote-header\">Terms definitions<\/div>\n<div class=\"cmtt-footnote-header-border\"><\/div>\n<div class=\"cmtt-footnote-def \" id=\"cmttFootnoteLink1\"><span class=\"cmtt-footnote-def-number\">1. <\/span><span class=\"cmtt-footnote-def-back\"><a class=\"cmtt_footnote_link cmtt-footnote-backlink\" href=\"#cmttFootnoteLink1-0\" style=\"font-size: 14px; color: #325afb; font-style : none ;\"> &uarr; <\/a><\/span><span class=\"cmtt-footnote-def-key\"> <a aria-describedby=\"tt\" href=\"https:\/\/blog.sociamonials.com\/fr\/glossary\/intelligence-artificielle\/\" class=\"glossaryLink\" target=\"_blank\">artificial intelligence<\/a>. <\/span><span class=\"cmtt-footnote-def-content\"> The discipline of Artificial Intelligence (AI) is a subset of computer science dedicated to developing systems capable of executing tasks usually requiring human intellect, such as reasoning, learning, planning, perception, and language comprehension. Drawing upon diverse fields such as psychology, linguistics, philosophy, and neuroscience, AI is instrumental in the creation of machine learning models and natural language processing systems. It also significantly contributes to the development of virtual assistants and affective computing systems. AI finds applications in numerous sectors like healthcare, industry, government, and education. However, it also brings up ethical and societal issues, thus requiring regulatory policies. With the advent of sophisticated techniques like deep learning and generative AI, the field continues to expand, opening up new avenues in various sectors. <\/span><\/div>\n<\/div>\n<div class=\"cmtt-footnote-bottom-border\"><\/div>\n<div class=\"cmtt-footnotes-block\"><div class=\"cmtt-footnote-header\">Terms definitions<\/div><div class=\"cmtt-footnote-header-border\"><\/div><div class=\"cmtt-footnote-def \" id=\"cmttFootnoteLink1\"><span class=\"cmtt-footnote-def-number\">1. <\/span><span class=\"cmtt-footnote-def-back\"><a class=\"cmtt_footnote_link cmtt-footnote-backlink\" href=\"#cmttFootnoteLink1-0\" style=\"font-size: 14px; color: #325afb; font-style : none ;\"> &#8593; <\/a><\/span><span class=\"cmtt-footnote-def-key\"> <a aria-describedby=\"tt\" href=\"https:\/\/blog.sociamonials.com\/fr\/glossary\/intelligence-artificielle\/\" class=\"glossaryLink\" target=\"_blank\">artificial intelligence<\/a>. <\/span><span class=\"cmtt-footnote-def-content\"> The discipline of Artificial Intelligence (AI) is a subset of computer science dedicated to developing systems capable of executing tasks usually requiring human intellect, such as reasoning, learning, planning, perception, and language comprehension. Drawing upon diverse fields such as psychology, linguistics, philosophy, and neuroscience, AI is instrumental in the creation of machine learning models and natural language processing systems. It also significantly contributes to the development of virtual assistants and affective computing systems. AI finds applications in numerous sectors like healthcare, industry, government, and education. However, it also brings up ethical and societal issues, thus requiring regulatory policies. With the advent of sophisticated techniques like deep learning and generative AI, the field continues to expand, opening up new avenues in various sectors. <\/span><\/div><\/div><div class=\"cmtt-footnote-bottom-border\"><\/div>","protected":false},"author":4,"featured_media":0,"menu_order":0,"template":"","meta":{"footnotes":""},"glossary-categories":[],"glossary-tags":[],"glossary-languages":[],"class_list":["post-4748","glossary","type-glossary","status-publish","hentry"],"post_title":"Intelligent agent","post_content":"A component of artificial intelligence known as an intelligent agent, perceives its surroundings via sensors and interacts with them through actuators. These entities are engineered to optimize the value of a performance metric based on their prior experiences and acquired knowledge. Not merely reactive, they can adjust to environmental alterations and proactively strive to accomplish predetermined objectives. Intelligent agents can be categorized into various types, such as simple reflex agents, model-based reflex agents, goal-based agents, utility-based agents, and learning agents. They are utilized in a wide range of applications, including the creation of autonomous systems, software agents, and in the execution of cognitive science research. Intelligent agents provide a methodical approach for testing and contrasting various AI programs, simultaneously bridging the divide between AI and economics.","_links":{"self":[{"href":"https:\/\/blog.sociamonials.com\/fr\/wp-json\/wp\/v2\/glossary\/4748","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.sociamonials.com\/fr\/wp-json\/wp\/v2\/glossary"}],"about":[{"href":"https:\/\/blog.sociamonials.com\/fr\/wp-json\/wp\/v2\/types\/glossary"}],"author":[{"embeddable":true,"href":"https:\/\/blog.sociamonials.com\/fr\/wp-json\/wp\/v2\/users\/4"}],"version-history":[{"count":0,"href":"https:\/\/blog.sociamonials.com\/fr\/wp-json\/wp\/v2\/glossary\/4748\/revisions"}],"wp:attachment":[{"href":"https:\/\/blog.sociamonials.com\/fr\/wp-json\/wp\/v2\/media?parent=4748"}],"wp:term":[{"taxonomy":"glossary-categories","embeddable":true,"href":"https:\/\/blog.sociamonials.com\/fr\/wp-json\/wp\/v2\/glossary-categories?post=4748"},{"taxonomy":"glossary-tags","embeddable":true,"href":"https:\/\/blog.sociamonials.com\/fr\/wp-json\/wp\/v2\/glossary-tags?post=4748"},{"taxonomy":"glossary-languages","embeddable":true,"href":"https:\/\/blog.sociamonials.com\/fr\/wp-json\/wp\/v2\/glossary-languages?post=4748"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}