Artificial Intelligence Planning Systems. Proceedings of the by James Hendler

By James Hendler

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Therefore, it is possible to define their semantics by recursively defining the criteria under which a statement is run to completion. For example, the statement "sequence(Pl, P2)" is executed in interval / if P I is executed in full in II and P2 is executed in 12 and / is the join of II with 12. The statement "if(Q, P I , P2)" is executed in interval J if either Q is true at the start of J and P I is executed during I ox Q is not true at the start of / and P2 is executed during / . Loops may be defined analogously.

As long as the output actions fall within the specifications, it does not matter how the computations are implemented. For example, they could be implemented using tasks that run asynchronously and communicate via interrupts. 5 PRIMITIVE ACTIONS It is important that the planning language allow the greatest possible flexibility in the choice of primitives. For example, it would be overly restrictive to require that all actions be characterized in terms of state changes, or that all actions be characterized in terms of the motions and forces of the effectors.

The generalized probability representation may additionally allow action choices to be bundled as well. The result would be a form of least-commitment probabilistic temporal projection. Models used by planners will always be abstractions of reality. Probability provides an important tool for representing uncertainty, but because many unmodeled influences are not governed by random chance, simply assuming a unique probability distribution over the possible action outcomes may work poorly. The new framework advocates representing constraints on outcome probability distributions rather than just single probability distributions.

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