Resource Planning For Rescue Operations
  After an earthquake, disaster sites pose a multitude of health and safety
concerns. A rescue operation of people trapped in the ruins after an earthquake
disaster requires a series of intelligent behavior, including planning. For a
successful rescue operation, given a limited number of available actions and
regulations, the role of planning in rescue operations is crucial. Fortunately,
recent developments in automated planning by artificial intelligence community
can help different organization in this crucial task. Due to the number of
rules and regulations, we believe that a rule based system for planning can be
helpful for this specific planning problem. In this research work, we use logic
rules to represent rescue and related regular regulations, together with a
logic based planner to solve this complicated problem. Although this research
is still in the prototyping and modeling stage, it clearly shows that rule
based languages can be a good infrastructure for this computational task. The
results of this research can be used by different organizations, such as
Iranian Red Crescent Society and International Institute of Seismology and
Earthquake Engineering (IISEE).
