- Login via:
- vk.com
- ok.ru
- google.com
- mail.ru
- yandex.ru
Bramer M. (Ed.) Artificial Intelligence: An International Perspective
- pdf file
- size 7,86 MB
- added by Anatol
- info modified
Springer, 2009. — 252 p. — ISBN: 3642032257, 9783642032264Artificial Intelligence (AI) is a rapidly growing inter-disciplinary field with a long and distinguished history that involves many countries and considerably pre-dates the development of computers. It can be traced back at least as far as Ancient Greece and has evolved over time to become a major subfield of computer science in general.
This state-of-the-art survey not only serves as a "position paper" on the field from the viewpoint of expert members of the IFIP Technical Committee 12, its Working Groups and their colleagues, but also presents overviews of current work in different countries.
The chapters describe important relatively new or emerging areas of work in which the authors are personally involved, including text and hypertext categorization; autonomous systems; affective intelligence; AI in electronic healthcare systems; artifact-mediated society and social intelligence design; multilingual knowledge management; agents, intelligence and tools; intelligent user profiling; and supply chain business intelligence. They provide an interesting international perspective on where this significant field is going at the end of the first decade of the twenty-first century.Keywords » affective computing - algorithmic learning - artificial intelligence - autonomous systems - bayesian networks - business intelligence - classifier systems - clustering - complex systems - computational intelligence - constraint logic programming - data mining - decision-tree learning - electronic healthcare systems - heuristic search - hypertext categorization - inference - information extraction - intelligent systems - knowledge discovery - learning theory - logic programming - machine learning - meta-modeling - multi-agent systems - multilingual knowledge management - pattern discovery - performance - probabilistic modeling - social intelligence design - statistical learning - support vector machines - user profiling
This state-of-the-art survey not only serves as a "position paper" on the field from the viewpoint of expert members of the IFIP Technical Committee 12, its Working Groups and their colleagues, but also presents overviews of current work in different countries.
The chapters describe important relatively new or emerging areas of work in which the authors are personally involved, including text and hypertext categorization; autonomous systems; affective intelligence; AI in electronic healthcare systems; artifact-mediated society and social intelligence design; multilingual knowledge management; agents, intelligence and tools; intelligent user profiling; and supply chain business intelligence. They provide an interesting international perspective on where this significant field is going at the end of the first decade of the twenty-first century.Keywords » affective computing - algorithmic learning - artificial intelligence - autonomous systems - bayesian networks - business intelligence - classifier systems - clustering - complex systems - computational intelligence - constraint logic programming - data mining - decision-tree learning - electronic healthcare systems - heuristic search - hypertext categorization - inference - information extraction - intelligent systems - knowledge discovery - learning theory - logic programming - machine learning - meta-modeling - multi-agent systems - multilingual knowledge management - pattern discovery - performance - probabilistic modeling - social intelligence design - statistical learning - support vector machines - user profiling
- Sign up or login using form at top of the page to download this file.