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

DIAUTIS II: A Multi-agent Platform for the Diagnosis of Autism and the Design of Serious Games | Chapter 5 | Current Overview on Science and Technology Research Vol. 4

 Early-life onset of autism spectrum disorder results in substantial behavioural abnormalities. The evidence at hand show that the incidence of autism is rising alarmingly. The administration of the aids to which it refers, particularly those pertaining to learning, depends on early diagnosis.

The goal of DIAUTIS I is to support the clinical team, physicians, parents, guardians, and educational institutions in the diagnosis of this illness. The multi-agent system has a wide range of potential applications due to its ability to compute cognitively, fuzzy, and affectively, as well as due to its capacity to learn from experience. One of them involves gathering a range of test results, evaluating the child's test results, and delivering a final diagnosis of the condition the child is suffering from and the severity of the problem. Test results demonstrate that DIAUTIS is capable of consistently and effectively completing a wide range of diagnostic procedures. Through a technique for the production of serious games based on four pillars: knowledge, affect, sensory, and pedagogy, DIAUTIS II increased the potential of DIAUTIS I. Using more than 80 templates, the methodology enables DIAUTIS II agents to create games while taking the child's upbringing into consideration.

Author(s) Details:

Mohamed El-Alami,
Ecole Nationale de Sciences Appliquées, Université Abdelmalek Essaâdi, Tanger, Morocco.

Sara El-Khabbazi,
Ecole Nationale de Sciences Appliquées, Université Abdelmalek Essaâdi, Tanger, Morocco.

Najoua Tahiri,
Ecole Nationale de Sciences Appliquées, Université Abdelmalek Essaâdi, Tanger, Morocco.

Fernando de Arriaga,
School of Telecommunication Engineering, Polytechnic University of Madrid, Spain and School of Economics and Business, Spanish Open University (UNED), Madrid, Spain.

Please see the link here: https://stm.bookpi.org/COSTR-V4/article/view/8283

Business Games with Intelligent E-Learning Systems: A Fundamental Study| Chapter 8 | Current Aspects in Business, Economics and Finance Vol. 4

 The goal to improve the pedagogical capabilities of business games offers up the possibility of working with existing intelligent tutors or intelligent e-learning systems. This topic hasn't been researched yet because working together without clear norms is difficult and difficult. The plausibility of such cooperation is examined in the article, along with the qualities of business games, intelligent tutors, and e-learning platforms that might facilitate and encourage such cooperation. It is especially explained how to combine a well-known business game with an already-existing intelligent e-learning system, as well as the necessary adjustments to make this collaboration successful. The effectiveness of this collaboration is shown by the tests that have been administered, their quantifiable results, and the students' perceptions. Many graduate distance courses employ the integration of the BG with the IELS as a learning aid. Enhancements have been made in order to improve cooperation. The latest findings demonstrate their advantageous impacts. The effectiveness of this collaboration is shown by the tests that have been administered, their quantifiable results, and the students' perceptions. Many graduate distance courses employ the integration of the BG with the IELS as a learning aid. Enhancements have been made in order to improve cooperation. The latest findings demonstrate their advantageous impacts.

Author(s) Details:

M. El Alami,
École Nationale des Sciences Appliquées (ENSAT), Université Abdelmalak Essaâdi (UAE), Tanger, Morocco.

F. de Arriaga,
Facultad de Ciencias Económicas y Empresariales, Universidad Nacional de Educación a Distancia (Spanish Open University), Pº Senda del Rey, 11, 28040 Madrid, Spain.

Please see the link here: https://stm.bookpi.org/CABEF-V4/article/view/8292