You are here


  1. A. Perini;F. Ricci,
    Constraint reasoning and interactive planning,
    , (Workshop on Constraint Languages-Systems and their use in Problem Modelling. International Logic Programming Symposium,
    ithaca, New York,
    11/18/1994, 11/19/1994)
  2. F. Ricci;A. Perini;P. Avesani,
    Building First Intervention Plans: the forest fire case,
    , (the 7-th Workshop on Artificial Intelligence Research in Environmental Science,
    Biloxi, Mississipi,
    11/14/1994, 11/17/1994)
  3. F. Ricci;A. Perini,
    Continuous domain constraints,
    , (International Workshop on Constraint Processing in Computer-Aided Design,
    Lausanne, Switzerland,
  4. A. Perini;F. Ricci;P. Avesani,
    Temporal reasoning and interactive planning,
    , (Workshop on Temporal Reasoning, AI*IA,
    Parma, Italy,
  5. P. Avesani;A. Perini;F. Ricci,
    Combining CBR and Constraint Reasoning in Planning Forest Fire Fighting,
    , pp. 235-
    , (The First European Workshop on Case-Based Reasoning (EWCBR '93),
    Kaiserslautern, Germany,
  6. Francesco Ricci; Anna Perini; Paolo Avesani,
    Planning in a Complex Real Domain,
    Dimensions of complexitiy raised during the definition of a system aimed at supporting the planning of initial attack to forest fires are presented and discussed. The complexity deriving from the highly dynamic and unpredictable domain of forest fire, the one related to the individuation and integration of planning techniques suitable to this domain, the complexity of addressing the problem of taking into account the role of the user to be supported by the system and finally the complexity of an architecture able to integrate different subsystems. In particular we focus on the severe constraints to the definition of a planning approach posed by the fire fighting domain, constraints which cannot be satisfied completely by any of the current planning paradigms. We propose an approach based on the integration of skeletal planning and case based reasoning techniques with constraint reasoning. More specifically temporal constraints are used in two steps of the planning process: plan fitting and adaptation, and resource scheduling. Work on the development of the system software architecture with a OOD methodology is in progress,
  7. A. Gerevini; A. Perini; F. Ricci; D. Forti; C. Ioriatti; L.Mattedi;,
    An Expert System for Integrated Pest Management of Apple Orchards
    vol. 6,
    , pp. 51 -
  8. A. Gerevini; A. Perini; F. Ricci,
    A Knowledge-Based System for Integrated Pest Management,
    Proceedings of the Twelfth International Conference on Artificial Intelligence,
    , (the Twelfth International Conference on Artificial Intelligence,
    Avignon, France,
    6/1/1992, 6/6/1992)
  9. A. Gerevini;A. Perini,
    Electronic Schedule Managers: The Problems of Supporting Cooperative Multiagent Planning,
    , (Fall Symposium 1991 on Knowledge and Action at Social and Organisational Levels,
    Asilomar, CA,
    11/15/1991, 11/17/1991)
  10. A. Gerevini;A. Perini;F. Ricci;D. Forti;C. Ioriatti;L. Mattedi;A. Monetti,
    POMI: An expert system for integrated pest management.,
    , (AAAI Workshop on AI in Natural and Agricultural Resource Management, July 1991,
    Anaheim, California,