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Reason about action of intelligent agent is surely one of the most exciting and challenging areas in Artificial Intelligence. Intelligent agents are embedded in an incomplete, dynamic environment to reason about action from the initial state to the final state. The Petri net as a mathematical model has the characteristics of dynamics, asynchronous, concurrent, and other features which make it can...
The distance relation reasoning method in random direction is put forward, aiming at conquering the limitation of only processing the same direction distance reasoning in the former distance relation reasoning system. The RCC-8 is extended to RCC-9 by subdividing relation, and the coarse granularity qualitative distance relation is consequently amalgamated. On the above basis, the classical combinatorial...
A novel representation framework has presented in this paper. It bases on a special type of Petri nets called Predicate/Transition (Pr/T) nets for describing reasoning about actions for robots. This framework blends together the concept of the state of the world, actions and the inner state of the agent. It is capable of describing reasoning about actions for robots which inhabit a dynamic and uncertain...
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