Abstract
The acquisition, management, processing and improvement of knowledge, as well as the effective and efficient treatment of huge amounts of data, big data using learning techniques, have become a very important function of information systems applications within organizations for solving problems with Artificial Intelligence.
Rapid technological progress has been made both in knowledge-based systems, including expert systems, modes reasoning and knowledge acquisition and management, as in Artificial Neural Networks, and its construction methodologies, which is essential in order to deal , respectively, with knowledge assets and huge amounts of data in organizations currently.This chapter relates knowledge-based systems and artificial neural networks for the management and increase of organizational knowledge and specifies different rules, methods, techniques and strategies that can be adopted by companies for the successful implementation within Artificial Intelligence applicability scenario.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Barreiro, C., Barreiro, J. M., Lara, J. A., Lizcano, D., MartÃnez, M. A., & Pazos, J. (2019). The Third Construct of the Universe: Information. Foundations of Science. https://doi.org/10.1007/s10699-019-09630-7Â
Borrajo, D. (1993). Inteligencia Artificial: Métodos y Técnicas. Editorial Ramón Areces.
Gómez, A., Juristo, N., Montes, C., & Pazos, J. (1997). IngenierÃa del Conocimiento. Editorial Centro de Estudios Ramón Areces.
Hertz, J., Krogh, A., & Palmer, R. G. (1991). Introduction to the Theory of Neural Computation. Addison-Wesley Publishing Company.
Kanigel, R. (1991). The Man Who Knew Infinity: A Life of the Genius Ramanujan. Charles Scribner’s Sons.
Kipling, R. (1992). If—(Brother Square-Toes-Rewards and Fairies). In The Complete Verses (pp. 472–473). Kyle Cathie Limited.
Longfellow, H. W. (1861). The Open Window. University of Michigan: Humanities Text Initiative.
Post, E. L. (1947). Recursive Unsolvability of a Problem of Thue. The Journal of Symbolic Logic, 12(1), 1–11.
Prerau, D. S. (1990). Developing and Managing Expert Systems. Proven Techniques for Business and Industry. Addison-Wesley Publishing Company, Inc.
Ramanujan, S. A. (2012). Notebooks (2 Vols.). Tata Institute of FundamentalResearch.
Ramón y Cajal, S. (1960). The Structure and Connexions of Nervous System. In Nobel Lectures: Physiology or Medicine, 1901–1921. Elsevier Science Publishing Co.
RÃos, J., Pazos, A., Brisaboa, N. R., & Caridad, S. (1991). Estructura, Dinámica y Aplicaciones de las Redes de Neuronas Artificiales. Editorial Centro de Estudios Ramón Areces.
Shakespeare, W. (1989). The King Richard lll. In The Illustrated Stratford (pp. 552–614). Chancellor Press.
Wiener, N. (1964). God and Golem, Inc. The MIT Press.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Casas, D.L., Sierra, J.P. (2022). AI: Methods and Techniques. Knowledge-Based Systems. In: Landeta Echeberria, A. (eds) Artificial Intelligence for Business. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-88241-9_2
Download citation
DOI: https://doi.org/10.1007/978-3-030-88241-9_2
Published:
Publisher Name: Palgrave Macmillan, Cham
Print ISBN: 978-3-030-88240-2
Online ISBN: 978-3-030-88241-9
eBook Packages: Business and ManagementBusiness and Management (R0)