Sentence examples for qualification problems from inspiring English sources

Thus, a semantically correct integration of actions and state constraints must address the ramification and qualification problems, as well as the frame problem.

More precisely, we describe how ME is able to use straightforward default reasoning techniques to solve the exogenous qualification problem largely because its robust treatments of the frame, ramification and endogenous qualification problems combine into a particular characteristic of elaboration tolerance that we formally encapsulate as a notion of "free will".

The frame and qualification problems.

We present an approach to the Qualification Problem which resolves this anomaly.

We show how a comprehensive solution to the endogenous qualification problem helps simplify the exogenous qualification problem — the problem of reconciling conflicts between predictions about what should be true at particular times and actual observations.

We present the formalization of the model and we provide a novel specification of the qualification problem.

The monotonic Fluent Calculus is enhanced by a default theory in order to obtain the nonmonotonic approach called for by the Qualification Problem.

In its generalized form, the frame problem is that it is practically impossible to describe, or infer, all the necessary preconditions (qualification problem) and all the possible consequences of a given action (ramification problem).

Intelligent agents in open environments inevitably face the Qualification Problem: The executability of an action can never be predicted with absolute certainty; unexpected circumstances, albeit unlikely, may at any time prevent the successful performance of an action.

We give formal results which characterize ME's high degree of modularity and elaboration tolerance, and show how these properties help to separate out, and provide principled solutions to, different aspects of the qualification problem.

In particular, we identify the endogenous qualification problem as the problem of properly accounting for highly distributed, and potentially conflicting, causal knowledge when reasoning about the effects of actions.