| dc.contributor.author | Madureira, Ana Maria | |
| dc.contributor.author | Reis, Cecília | |
| dc.contributor.author | Marques, Viriato | |
| dc.date.accessioned | 2023-11-03T12:33:53Z | |
| dc.date.embargo | 2035 | |
| dc.date.issued | 2013 | |
| dc.description.abstract | Advances in Computational Intelligence and Decision Making: Trends and Applications provides an overview and original analysis of new developments and applications in several areas of Computational Intelligence and Information Systems, in general. Computational Intelligence became the roadmap for engineers to develop and analyze novel techniques to solve problems in basic sciences such as physics, chemistry, biology, engineering, environment and social sciences. The material contained in this book addresses the foundations and applications of Artificial Intelligence and Decision Support Systems, Complex and Biological Inspired Systems, Simulation and Evolution of real and artificial life forms, Intelligent Models and Control Systems, Knowledge and Learning Technologies, Web Semantics and Ontologies, Intelligent Tutoring Systems, Intelligent Power Systems, Self-Organized and Distributed Systems, Intelligent Manufacturing Systems and Affective Computing. The contributions are written by international experts, who provide up-to-date aspects of the topics discussed and present recent, original insights of their own experience in these fields. Its aim is the presentation of state-of-the-art technologies in the field of Computational Intelligence as well as the discussion of new research findings in this field. The book is suitable for scientists, engineers, educators and students, as it addresses a large diversity of subjects presented in a broad band of complexity, ranging from simple natural language, found in some state-of-the-art articles, to some more complex mathematical issues, found in control applications, robotics and power systems, such as fractional calculus, fuzzy systems and rough-sets theory. Data Mining techniques, such as Support-Vector Machines and Neural Networks, are presented in application of the Biomedical and Bioinformatics fields, among others. Briefly, we believe that this book provides a good window on most of the subjects that directly or indirectly make use of Computational Intelligence, also showing the contributions that it is already giving, or can be given in a near future, for solving some of the more pressing problems of today’s world, such as energy and environment, society and economy. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.doi | 10.1007/978-94-007-4722-7 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10400.22/23831 | |
| dc.language.iso | eng | pt_PT |
| dc.publisher | Springer | pt_PT |
| dc.relation.publisherversion | https://link.springer.com/book/10.1007/978-94-007-4722-7 | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | pt_PT |
| dc.subject | Ambient Intelligence | pt_PT |
| dc.subject | Artificial Intelligence | pt_PT |
| dc.subject | Cognitive Computing | pt_PT |
| dc.subject | Decision Support Systems | pt_PT |
| dc.subject | Information Storage and Retrieval | pt_PT |
| dc.subject | Intelligent Manufacturing Systems | pt_PT |
| dc.subject | Intelligent Models and Control Systems | pt_PT |
| dc.subject | Nature Inspired Computing | pt_PT |
| dc.title | Computational Intelligence and Decision Making: Trends and Applications | pt_PT |
| dc.type | book | |
| dspace.entity.type | Publication | |
| oaire.citation.volume | 61 | pt_PT |
| person.familyName | Madureira | |
| person.familyName | Reis | |
| person.givenName | Ana Maria | |
| person.givenName | Cecília | |
| person.identifier.ciencia-id | 7F1D-5AF2-A101 | |
| person.identifier.orcid | 0000-0002-0264-4710 | |
| person.identifier.orcid | 0000-0001-6131-4677 | |
| person.identifier.rid | AAH-1056-2021 | |
| person.identifier.scopus-author-id | 8634629500 | |
| rcaap.rights | closedAccess | pt_PT |
| rcaap.type | book | pt_PT |
| relation.isAuthorOfPublication | cd5e5eb7-cf63-48c6-b6b9-a9db2fedebab | |
| relation.isAuthorOfPublication | 8128af5d-07d3-4b24-944d-30fde21ae59b | |
| relation.isAuthorOfPublication.latestForDiscovery | 8128af5d-07d3-4b24-944d-30fde21ae59b |
