rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Learning and Reasoning with Complex Representations
    sub title: PRICAI'96 Workshops on Reasoning with Incomplete and Changing Information and on Inducing Complex Representations Cairns, Australia, August 26-30, 1996, Selected Papers
  name:
    name part: Antoniou, Grigoris.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Ghose, Aditya K.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Truszczynski, Miroslaw.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 1998
    edition: 1st ed. 1998.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 288 p. online resource.
  abstract: This book constitutes the thoroughly revised and refereed post-workshop documentation of two international workshops held in conjunction with the Pacific Rim International Conference on Artificial Intelligence, PRICAI'96, in Cairns, Australia, in August 1996. The volume presents 14 revised full papers togehter with two invited contributions and two introductory surveys particularly commissioned for this book. Among the topics addressed are computational learning, commonsense reasoning, constraint logic programming, fuzzy reasoning, vague data, inductive inference, belief revision, action theory, uncertainty, and probabilistic diagnosis.
  table of contents: Inductive constraint logic programming: An overview -- Some approaches to reasoning with incomplete and changing information -- Curried least general generalization: A framework for higher order concept learning -- Approximate validity -- Inductive theories from equational systems -- The role of default representations in incremental learning -- Learning stable concepts in a changing world -- Inducing complex spatial descriptions in two dimensional scenes -- A framework for learning constraints: Preliminary report -- Induction of constraint logic programs -- Belief network algorithms: A study of performance based on domain characterisation -- A Group Decision and Negotiation Support System for argumentation based reasoning -- From belief revision to design revision: Applying theory change to changing requirements -- Using histories to model observations in theories of action -- Modelling inertia in action languages -- Combinatorial interpretation of uncertainty and conditioning -- Probabilistic diagnosis as an update problem -- Cooperative combination of default logic and autoepistemic logic.
  note: edited by Grigoris Antoniou, Aditya K. Ghose, Miroslaw Truszczynski.
  subject:
    topic: Artificial intelligence
  subject:
    topic: Artificial Intelligence
  classification: Q334-342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Artificial Intelligence ; 1359
  identifier: 9783540697800
  identifier: https://doi.org/10.1007/3-540-64413-X
  record info:
    record creation date: 121227
    record change date: 20190618091610.0
    record identifier: 978-3-540-69780-0