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Agent programming via planning programs

By Fabio Patrizi and Sebastian Sardina


We imagine agent “planning ” programs as programs built from achievement and maintenance goals. Their executions require the ability to meet such goals while respecting the programs ’ control flow. The question then is: can we always guarantee the execution of such programs? In this paper, we define this novel planningprogramming problem formally, and propose a sound, complete and optimal wrt computational complexity technique to actually generate a solution by appealing to recent results in LTL-based synthesis of reactive systems

Topics: I.12.4 [Artificial Intelligence, Knowledge Representation Formalisms and Methods General Terms Theory, Verification, Algorithms Keywords Agent programming, planning, synthesis, LTL, model checking
Year: 2010
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