Bho na 1960n, tha lisp air. A bhith air a chleachdadh gu. Farsaing airson sgrùdadh saidheansail ann an. Cuspairean chànanan nàdurrach, dearbhaidhean teòirim, agus. Fuasgladh chùisean artificial intelligence. Chaidh lisp a dhealbhadh.An toiseach mar chànan matamataigeach practaigeach airson prògramadh, ach gu luath. Thàinig e gu bhith na roghainn mòr-chòrdte. Am measg luchd-leasachaidh ai.
Nas cudromaiche, bha neach-cruthachaidh. Lisp (john mccarthy) na phrìomh neach. Ann an raon ai, agus chaidh mòran den obair aige a chuir an. Gnìomh airson ùine mhòr.
B’ e am prìomh adhbhar airson Lisp a leasachadh riochdachadh matamataigeach obrachail a stèidheachadh ann an còd. Mar thoradh air a’ bhuannachd ghnèitheach seo, gu luath thàinig e gu bhith na roghainn cànan airson rannsachadh AI. Chaidh mòran de bhun-bheachdan saidheans coimpiutaireachd, leithid ath-chuairteachadh, structaran dàta craoibhe, agus clò-sgrìobhadh fiùghantach, a chruthachadh ann an Lisp.
Tha Lisp air leth èifeachdach agus a’ comasachadh prògram a chuir an gnìomh gu math luath. Tha prògraman Lisp nas lugha, nas luaithe airson dealbhadh, coileanadh nas luaithe, agus nas fhasa a chumail suas na tasan.
As a result it is us in chatbots
Prolog, one of the earliest programming languages, is a sophisticatd phone leads for sale framework that works with three elements: facts, rules, and goals. A developer must identify the three pieces before Prolog can build relationships between them to reach a specific conclusion by examining facts and rules.
Prolog is capable of understanding and matching patterns, finding and logically structuring data, and automatically backing up a process to find a better way. Overall, the best use of this language is in AI for problem solving, where Prolog looks for a solution – or several.
and virtual assistants such as IBM’s Watson. Prolog may not be as versatile or as easy to use as Python or Java, but it can be very useful. Prolog has been us develop several AI libraries. Zamia-AI, for example, is a framework that provides components and tools for developing open source speech and natural language processing systems.
, cplint, and cplint are also very useful for building artificial intelligence.
Based on rolog , data packages blu
Integrating AI software into an already diverse business environment Mobile List requires a range os , such as multiple languages, frameworks, and libraries. These technologies often require extraordinary levels of skill and expertise.
All the languages mentione above are good choices for Artificial Intelligence projects. It’s just a matter of choosing the ideal project for your needs. With a basic understanding of the project, you can choose the most appropriate language and increase the efficiency of your company. Good luck with your next AI project!
