Artificial Intelligence, a Singular Technology: Paradigms, and Models | Chapter 2 | Current Innovations in Chemical and Materials Sciences Vol. 2

 Artificial intelligence is a legitimate driver of the controlled and technological development, accompanying a difficult skyline to assess. This chapter inquires to give a brief survey of this science and electronics in order to comprehend their present condition and potential in the near future. Artificial intelligence is the imitation of human intelligence processes by machines, especially calculating systems. Specific uses of AI include expert systems, robotics, speech acknowledgment and machine apparition. A challenging horizon to forecast, artificial intelligence is a real force behind technological and scientific progress. The chapter tries to resolve the various paradigms, models, and approaches, that has been discoursing machine intelligence. To this end, the symbolic current, the connectionist model of affecting animate nerve organs networks, and the fuzzy cognitive maps are intentional, to then proceed to analyze the so-called computational knowledge, and the sub-representative current. From a chronological viewpoint, three paradigms in the development of machine intelligence are considered: the beginning or mono-block, the current paradigm of distributed machine intelligence, and the starting example of generative artificial intelligence. The first mainly resulted incompetent systems, that are quite useful, and the second in multi-power systems and added models. To make the usage and productiveness of these systems and models clear, various examples are provided. Finally, few information on the exertions being made to try to mix all current methodologies is provided, and a brief indicator regarding the after second paradigm, generative machine intelligence, is also contained.

Author(s) Details:

Mohamed El Alami,
Université Abdelmalek Essaâdi/Ecole Nationale de Sciences Appliquées (ENSAT), Tanger, B.P. 2117 Tétouan, Morocco.

Ana Lilia Laureano-Cruces,
Departamento de Sistemas/Universidad Autónoma Metropolitana-Azcapotzalco, México City, 02128, México and Laboratoire Informatique d’Avignon, France.

Fernando de Arriaga,
Departamento de Matemática Aplicada a las Tecnologías de la Información/Universidad Politécnica de Madrid, Madrid, 28660, Spain.

Javier Ramírez-Rodríguez,
Departamento de Sistemas/Universidad Autónoma Metropolitana-Azcapotzalco, México City, 02128, México and Laboratoire Informatique d’Avignon, France.

Ma. de Lourdes Sánchez-Guerrero,
Departamento de Sistemas/Universidad Autónoma Metropolitana-Azcapotzalco, México City, 02128, México.

Please see the link here: https://stm.bookpi.org/CICMS-V2/article/view/12324