• DocumentCode
    275240
  • Title

    Structuring techniques for knowledge-based planning systems in environmental impact assessment

  • Author

    Baumewerd-Ahlmann, A. ; Kalinski, J.

  • Author_Institution
    Dortmund Univ., West Germany
  • fYear
    1990
  • fDate
    27-29 Jun 1990
  • Firstpage
    257
  • Lastpage
    261
  • Abstract
    Knowledge based systems may significantly reduce the complexity of a planning task like environmental impact assessment. But even then, such tasks will be performed by qualified personnel with special expertise. Thus, knowledge based planning systems for such applications not only have to incorporate expert knowledge, but have to act as advice-giving systems. They also have to cope with the tentative proceeding based on rough, incomplete knowledge, that is usual in planning tasks. Cooperating with the expert user knowledge based planning systems should supply intelligible explanation facilities and provide exhaustive information about the way possible solutions are found. Knowledge modelling on an appropriate level may contribute to reach this goal. The authors discuss different structuring techniques and their integration into a comprehensive model of environmental planning expertise. They outline three aspects of knowledge modelling concerning: the object level, a partition of the knowledge base with respect to contexts and the inference process
  • Keywords
    biology computing; ecology; expert systems; explanation; inference mechanisms; natural resources; advice-giving systems; comprehensive model; contexts; environmental impact assessment; environmental planning expertise; exhaustive information; expert user knowledge based planning systems; incomplete knowledge; inference process; intelligible explanation facilities; knowledge modelling; object level; planning tasks; structuring techniques; tentative proceeding;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Expert Planning Systems, 1991., First International Conference on
  • Conference_Location
    Brighton
  • Type

    conf

  • Filename
    114604