Future directions in artificial intelligence : IFIP TC12 Founding Workshop collected papers
著者
書誌事項
Future directions in artificial intelligence : IFIP TC12 Founding Workshop collected papers
North-Holland , Elsevier Science Pub. Co. [distributor], 1991
大学図書館所蔵 全19件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Bibliography: p. [161]-176
Includes index
内容説明・目次
内容説明
The contributions to this book are from Artificial Intelligence specialists from all over the world. Their ideas on the future of AI are original, thought-provoking and sometimes controversial. The first section, Methodology, looks at how AI students should be educated, AI's relationship to computer science, and specialisation. The next part discusses the paradigms that dominated AI research in the past (such as the symbol processing paradigm) and a perceived need for new paradigms. Trends outlines the state of the art and trends in knowledge representation, intelligent interfaces, intelligent networking systems, and distributed AI. The fourth part, Prospects, looks further into the future, suggesting important research topics and the future of AI research in general. An important question is asked: Why should anybody use AI technology anyway?
目次
Methodology. The Need for a Formal Education in Artificial Intelligence (R.B. Banerji). Informatics as the Scientific Environment for Artificial Intelligence (J. Gruska). Towards a Reintegration of Artificial Intelligence Research (J.F. Sowa). Paradigms. Paradigm Shifts in Artificial Intelligence (A. de Callatay). Why Today's Computers Don't Learn the Way People Do (W.J. Clancey). Future Directions of Artificial Intelligence in a Resource-Limited Environment (R.S. Michalski, D.C. Littman). Beyond the Symbolic Paradigm (L.S. Sterling, R.D. Beer, H.J. Chiel). Trends. Research Trends in Knowledge Representation (L.C. Aiello, D. Nardi). "Artificial" Interfaces for Knowledge Acquisition: A Futuristic Scenario (R. Chandrasekar, S. Ramani). Intelligent Distributed and Networking Systems (J. Maitan). Distributed Artificial Intelligence (Zhongzhi Shi). Prospects. On the Future (and Present) State of Artificial Intelligence (Y. Kodratoff). Artificial Intelligence Needs its Eisenstein and Chaplin (A. Markus, E. Knuth). AI Technology, Non-Existent or Extinct? (P. van Lith). The Future of Research in Artificial Intelligence (L. Siklossy). Epilogue. The Dialectics of Artificial Intelligence (P.A. Flach). References. Index.
「Nielsen BookData」 より