{"id":190345,"date":"2024-10-15T06:30:00","date_gmt":"2024-10-15T05:30:00","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=190345"},"modified":"2024-10-17T13:13:04","modified_gmt":"2024-10-17T12:13:04","slug":"all-about-symbolic-ai","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/all-about-symbolic-ai","title":{"rendered":"Symbolic AI: What is it?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"190345\" class=\"elementor elementor-190345\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d005876 e-flex e-con-boxed e-con\" data-id=\"d005876\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-41b8473 elementor-widget elementor-widget-heading\" data-id=\"41b8473\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><p class=\"elementor-heading-title elementor-size-default\">The history of artificial intelligence can be divided into two major phases. One of these is symbolic AI. What does this mysterious term encompass? What are the strengths and limitations of this approach?<\/p>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-76f1c37 elementor-widget elementor-widget-text-editor\" data-id=\"76f1c37\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><span style=\"font-weight: 400;\">Since the explosion of <a href=\"https:\/\/datascientest.com\/en\/chatgpt-how-does-this-nlp-algorithm-work\">ChatGPT<\/a> in late November 2022, generative AI has been in the spotlight. However, this type of service relies on a relatively recent approach to artificial intelligence that demands particularly resource-intensive learning in terms of computing power. The <\/span><b>beginnings of AI<\/b><span style=\"font-weight: 400;\"> took place with another model, symbolic AI, which, after a phase of discredit, may very well regain some credibility&#8230;<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-bfe3cb7 e-flex e-con-boxed e-con\" data-id=\"bfe3cb7\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2ee4c10 elementor-widget elementor-widget-heading\" data-id=\"2ee4c10\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What is symbolic AI?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a47f199 elementor-widget elementor-widget-text-editor\" data-id=\"a47f199\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">The first attempts to simulate intelligence through a machine stemmed from the <\/span><b>work of Alan Turing<\/b><span style=\"font-weight: 400;\"> and bring us to the late 1950s. In reality, we must go back to the British philosopher <\/span><b>Thomas Hobbes<\/b><span style=\"font-weight: 400;\"> (1588 \u2013 1679) to find the premises of such work. Hobbes believed that <\/span><b>&#8220;thinking is manipulating symbols, and reasoning is calculating&#8221;<\/b><span style=\"font-weight: 400;\">. The French philosopher Descartes (1596 \u2013 1650) went in the same direction, asserting that the universe was written in the language of mathematics. According to him, all reality is mathematical.<\/span><\/p><p><span style=\"font-weight: 400;\">By relying on such theories, it became possible to envisage machines that <\/span><b>manipulate symbols to emulate human thought<\/b><span style=\"font-weight: 400;\">. This discipline became known as symbolic AI. It effectively began in 1959 when researchers Herbert Simon, Allen Newell, and Cliff Shaw attempted to build a computer capable of solving problems in a manner similar to humans.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-60a48b0 elementor-widget elementor-widget-image\" data-id=\"60a48b0\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"900\" height=\"514\" src=\"https:\/\/datascientest.com\/en\/files\/2024\/10\/Symbolic_AI_datascientest_2.webp\" class=\"attachment-full size-full wp-image-190348\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2024\/10\/Symbolic_AI_datascientest_2.webp 900w, https:\/\/datascientest.com\/en\/files\/2024\/10\/Symbolic_AI_datascientest_2-300x171.webp 300w, https:\/\/datascientest.com\/en\/files\/2024\/10\/Symbolic_AI_datascientest_2-768x439.webp 768w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-53e3b02 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"53e3b02\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/en\/machine-learning-engineer-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Learn more about AI<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8ee3ceb elementor-widget elementor-widget-text-editor\" data-id=\"8ee3ceb\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">In fact, symbolic AI strives to <\/span><b>represent knowledge in the form of rules<\/b><span style=\"font-weight: 400;\"> applied to symbols that represent objects or concepts in our world. The result of symbolic AI was a <\/span><b>logic-based programming<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">A commonly given example is that of a medical diagnosis: IF a patient has frequent sneezing AND itchy eyes, THEN it is probably a seasonal allergy; OTHERWISE, move on to the next rule.<\/span><\/p><p><span style=\"font-weight: 400;\">This approach gave birth to <a href=\"https:\/\/datascientest.com\/en\/all-about-expert-system\">expert systems<\/a> and <\/span><b>decision support systems<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-fa40235 e-flex e-con-boxed e-con\" data-id=\"fa40235\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-eab1222 elementor-widget elementor-widget-heading\" data-id=\"eab1222\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What are the main applications of symbolic AI?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b85b1ce elementor-widget elementor-widget-text-editor\" data-id=\"b85b1ce\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Symbolic AI has been utilized in many fields:<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><a href=\"https:\/\/datascientest.com\/en\/all-about-nlp\">Natural Language Processing (NLP)<\/a> with assistants like Siri or Alexa,<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Medical diagnosis,<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><a href=\"https:\/\/datascientest.com\/en\/all-about-autonomous-vehicles\">Autonomous vehicles<\/a>,<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Robots capable of avoiding obstacles and interacting with humans<\/span><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-cdc44eb e-flex e-con-boxed e-con\" data-id=\"cdc44eb\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ff4b4ae elementor-widget elementor-widget-heading\" data-id=\"ff4b4ae\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What led to the decline of symbolic AI?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-baafaeb elementor-widget elementor-widget-text-editor\" data-id=\"baafaeb\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Until the late 1980s, symbolic AI was a major path for <\/span><b>research<\/b><span style=\"font-weight: 400;\"> and <\/span><b>application development<\/b><span style=\"font-weight: 400;\">. However, this approach gradually revealed its limitations.<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Since symbolic AI operates based on programmed rules, its learning capacity is low, causing the system to <\/span><b>struggle to adapt<\/b><span style=\"font-weight: 400;\"> when encountering unforeseen situations.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Symbolic AI <\/span><b>requires an exhaustive knowledge base<\/b><span style=\"font-weight: 400;\"> to function correctly. If this foundation is incomplete, its effectiveness will be diminished.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Symbolic AI relies on precise knowledge representations and <\/span><b>will be troubled by uncertain or ambiguous data<\/b><span style=\"font-weight: 400;\">.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Accurate pattern recognition and thus <\/span><b>biometrics are unlikely<\/b><span style=\"font-weight: 400;\"> with symbolic AI.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Generating content that is both original and relevant is difficult to conceive with this approach.<\/span><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f058176 elementor-widget elementor-widget-image\" data-id=\"f058176\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"900\" height=\"514\" src=\"https:\/\/datascientest.com\/en\/files\/2024\/10\/Symbolic_AI_datascientest_3.webp\" class=\"attachment-full size-full wp-image-190352\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2024\/10\/Symbolic_AI_datascientest_3.webp 900w, https:\/\/datascientest.com\/en\/files\/2024\/10\/Symbolic_AI_datascientest_3-300x171.webp 300w, https:\/\/datascientest.com\/en\/files\/2024\/10\/Symbolic_AI_datascientest_3-768x439.webp 768w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9c7fa3d elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"9c7fa3d\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/en\/machine-learning-engineer-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Training in AI<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-008e28e e-flex e-con-boxed e-con\" data-id=\"008e28e\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0501831 elementor-widget elementor-widget-heading\" data-id=\"0501831\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What brought about the rise of machine learning?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4f1b493 elementor-widget elementor-widget-text-editor\" data-id=\"4f1b493\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Starting in the 1990s, another approach gained prominence: <a href=\"https:\/\/datascientest.com\/en\/dense-neural-networks-understanding-their-structure-and-function\">neural networks<\/a>, with two main forms, <a href=\"https:\/\/datascientest.com\/en\/unraveling-machine-learning-vs-deep-learning-key-differences-explained\">machine learning and deep learning<\/a>. In this context, the system analyzes vast quantities of data and attempts, through a long, partly empirical training process, to establish mathematical relationships between what is perceived and what is expected. Significant breakthroughs occurred from 2010 onwards, enabling the <\/span><b>emergence of highly popular applications<\/b><span style=\"font-weight: 400;\"> like ChatGPT and Midjourney.<\/span><\/p><p><span style=\"font-weight: 400;\">The only issue is that these systems based on <a href=\"https:\/\/datascientest.com\/en\/mapreduce-how-to-use-it-for-big-data\">big data processing<\/a> can sometimes be perplexing and <\/span><b>prone to certain errors<\/b><span style=\"font-weight: 400;\">. You may have had to attempt multiple times before achieving the desired visual output from an application like <a href=\"https:\/\/datascientest.com\/en\/stable-diffusion-xl-the-enhanced-version-of-stable-diffusion\">Stable Diffusion<\/a>. Occasionally, it might seem like such a <strong>generative AI<\/strong> fails to understand your requests. Indeed, <\/span><b>neural AIs<\/b><span style=\"font-weight: 400;\"> often operate in ways that lack transparent logic. Instead, we encounter the triumph of data quantity over pure reasoning.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b881c7e e-flex e-con-boxed e-con\" data-id=\"b881c7e\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-73ab87c elementor-widget elementor-widget-heading\" data-id=\"73ab87c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Is there a possible return of symbolic AI?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1caa941 elementor-widget elementor-widget-text-editor\" data-id=\"1caa941\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">However, symbolic AI may not have said its final word. Some, including IBM, are now aiming to <\/span><b>combine both approaches with what is called neuro-symbolic AI<\/b><span style=\"font-weight: 400;\">. Simply put, neural AI would be used for pattern recognition, such as information, and would be complemented by a symbolic AI that applies a predictable logic to the analyzed data.<\/span><\/p><p><span style=\"font-weight: 400;\">It turns out that <\/span><b>symbolic AI has its strengths<\/b><span style=\"font-weight: 400;\">. Since its reasoning is coded, it is easy for us to understand how it arrived at a conclusion and, if necessary, to amend it. Moreover, it is much less resource-intensive and therefore more eco-friendly: it consumes on average 143 times less energy than a machine learning model. Symbolic AI can perfectly <\/span><b>suit certain specific applications such as email filtering<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">Thus, after nearly two decades of discredit, symbolic AI seems poised to make a grand comeback.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8a9579c elementor-widget elementor-widget-image\" data-id=\"8a9579c\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"900\" height=\"514\" src=\"https:\/\/datascientest.com\/en\/files\/2024\/10\/Symbolic_AI_datascientest_1.webp\" class=\"attachment-full size-full wp-image-190359\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2024\/10\/Symbolic_AI_datascientest_1.webp 900w, https:\/\/datascientest.com\/en\/files\/2024\/10\/Symbolic_AI_datascientest_1-300x171.webp 300w, https:\/\/datascientest.com\/en\/files\/2024\/10\/Symbolic_AI_datascientest_1-768x439.webp 768w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a788227 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"a788227\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/en\/machine-learning-engineer-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Sign up for a training course in AI<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-94e1cfd e-flex e-con-boxed e-con\" data-id=\"94e1cfd\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4834826 elementor-widget elementor-widget-html\" data-id=\"4834826\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\r\n{\r\n  \"@context\": \"https:\/\/schema.org\",\r\n  \"@type\": \"FAQPage\",\r\n  \"mainEntity\": [{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"What is symbolic AI?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Symbolic AI is an approach to artificial intelligence that uses symbols and logical rules to represent and manipulate knowledge. 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Since the explosion of ChatGPT in late November 2022, generative AI has been in the spotlight. However, this type of service relies [&hellip;]<\/p>\n","protected":false},"author":45,"featured_media":190347,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2427],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Symbolic AI: What is it?<\/title>\n<meta name=\"description\" content=\"Discover symbolic AI, a classical approach to artificial intelligence focused on manipulating symbols and formal logic. 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