The Natural Language for Artificial Intelligence

1. Introduction2. Connecting different levels of language reality3. The natural intelligence4. Artificial intelligence5. Computer language and linguistics6. The structure of language and its axiomatic-logical nature7. Maintaining a "questing eye” at the natural language synchronization function to improve artificial intelligence8. Natural language and its universal structure9. Interdisciplinary paths for the construction of meaning: What natural language has to say for artificial intelligence?10. The natural language for artificial intelligence11. Conclusion

Dionéia Motta Monte-Serrat is a Post-doctoral Researcher at the Department of Computation and Mathematics of Faculty of Philosophy, Sciences and Letters of Ribeirao Preto - University of Sao Paulo, FFCLRP-USP, Brazil; Collaborating researcher at Language Institute of University of Campinas, IEL-UNICAMP, Brazil. Faculty Member at University of Ribeirao Preto, UNAERP, Brazil. Direct Doctoral degree in Psychology, FFCLRP-USP, Brazil. Doctoral degree program partly completed at Université Paris III, Sorbonne Nouvelle (2010, CAPES-BEX). Internship at École des Hautes Études en Sciences Sociales, Paris (2012, FAPESP). Undergraduate degrees in Languages and Law. Member of the British Wittgenstein Society. Associate Researcher, National Science Network for Education (Rede CpE, Brazil). Research interest: Neuroscience; Neurolinguistics; Neurocognition; Brain Impairment; Artificial Intelligence; Neurophysiology; Natural Language, Education, Social inclusion. Dr. Carlo Cattani is Full Professor of Mathematical Physics and Applied Mathematics at the Department of Economics, Engineering, Society and Enterprise (DEIM) at Università degli Studi della Tuscia, Viterbo, Italy. He has been previously appointed as Professor and Research Fellow at the Department of Mathematics, University of Rome La Sapienza, and Department of Mathematics, University of Salerno. Dr. Cattani has been a Research Fellow at the Italian Council of Research (CNR) and Visiting Research Fellow at the Physics Institute of Stockholm University. His main scientific research interests are focused on numerical and computational methods, mathematical models and methods, time series and data analysis, computer methods and simulations. Dr. Cattani is co-author of several books, including The Natural Language for Artificial Intelligence, Elsevier Academic Press; Wavelet and Wave Analysis as Applied to Materials with Micro or Nanostructure, World Scientific Publishing; Fractional Dynamics, De Gruyter; Computational