Normal view MARC view ISBD view

Artificial Intelligence. An International Perspective [electronic resource] : An International Perspective / by Max Bramer.

By: Bramer, Max [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Artificial Intelligence: 5640Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009Edition: 1st ed. 2009.Description: VII, 247 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642032264.Subject(s): Artificial intelligence | Computer programming | Compilers (Computer programs) | Machine theory | Algorithms | Data mining | Artificial Intelligence | Programming Techniques | Compilers and Interpreters | Formal Languages and Automata Theory | Algorithms | Data Mining and Knowledge DiscoveryAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
Artificial Intelligence and Intelligent Systems Research in Chile -- Text and Hypertext Categorization -- Future Challenges for Autonomous Systems -- Affective Intelligence: The Human Face of AI -- Introducing Intelligence in Electronic Healthcare Systems: State of the Art and Future Trends -- AI in France: History, Lessons Learnt, State of the Art and Future -- Artifact-Mediated Society and Social Intelligence Design -- Multilingual Knowledge Management -- Agents, Intelligence and Tools -- An Overview of AI Research in Italy -- Intelligent User Profiling -- Supply Chain Business Intelligence: Technologies, Issues and Trends.
In: Springer Nature eBookSummary: Artificial 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.
    average rating: 0.0 (0 votes)
No physical items for this record

Artificial Intelligence and Intelligent Systems Research in Chile -- Text and Hypertext Categorization -- Future Challenges for Autonomous Systems -- Affective Intelligence: The Human Face of AI -- Introducing Intelligence in Electronic Healthcare Systems: State of the Art and Future Trends -- AI in France: History, Lessons Learnt, State of the Art and Future -- Artifact-Mediated Society and Social Intelligence Design -- Multilingual Knowledge Management -- Agents, Intelligence and Tools -- An Overview of AI Research in Italy -- Intelligent User Profiling -- Supply Chain Business Intelligence: Technologies, Issues and Trends.

Artificial 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.

There are no comments for this item.

Log in to your account to post a comment.