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PRICAI 2008: Trends in Artificial Intelligence

Über PRICAI 2008: Trends in Artificial Intelligence

The Pacific Rim International Conference on Artificial Intelligence (PRICAI) is one of the preeminent international conferences on artificial intelligence (AI). PRICAI 2008 (http://www.jaist.ac.jp/PRICAI-08/) was the tenth in this series of biennial int- national conferences highlighting the most significant contributions to the field of AI. The conference was held during December 15¿19, 2008, in the beautiful city Hanoi, the capital of Vietnam. As in previous years this year¿s technical program saw very high standards in both the submission and paper review process, resulting in an exciting program that reflects the great variety and depth of modern AI research. This year¿s contributions covered all traditional areas of AI, including AI foundations, knowledge representation, knowledge acquisition and ontologies, evolutionary computation, etc., as well as va- ous exciting and innovative applications of AI to many different areas. There was particular emphasis in the areas of machine learning and data mining, intelligent agents, language and speech processing, information retrieval and extraction.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9783540891963
  • Einband:
  • Taschenbuch
  • Seitenzahl:
  • 1156
  • Veröffentlicht:
  • 24. November 2008
  • Abmessungen:
  • 155x62x235 mm.
  • Gewicht:
  • 1708 g.
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Beschreibung von PRICAI 2008: Trends in Artificial Intelligence

The Pacific Rim International Conference on Artificial Intelligence (PRICAI) is one of the preeminent international conferences on artificial intelligence (AI). PRICAI 2008 (http://www.jaist.ac.jp/PRICAI-08/) was the tenth in this series of biennial int- national conferences highlighting the most significant contributions to the field of AI. The conference was held during December 15¿19, 2008, in the beautiful city Hanoi, the capital of Vietnam. As in previous years this year¿s technical program saw very high standards in both the submission and paper review process, resulting in an exciting program that reflects the great variety and depth of modern AI research. This year¿s contributions covered all traditional areas of AI, including AI foundations, knowledge representation, knowledge acquisition and ontologies, evolutionary computation, etc., as well as va- ous exciting and innovative applications of AI to many different areas. There was particular emphasis in the areas of machine learning and data mining, intelligent agents, language and speech processing, information retrieval and extraction.

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