The Frame Problem

4 hours ago

The frame problem initially emerged as a technical AI challenge in logic, concerning how to efficiently represent the effects of actions without listing all non-effects.
Philosophers expanded it into an epistemological issue about limiting reasoning scope and determining relevance in decision-making without considering all irrelevant factors.
Technical solutions involved non-monotonic logics to formalize the common sense law of inertia, though complexities like the Yale shooting problem arose.
The epistemological frame problem highlights difficulties in updating beliefs and determining relevance in holistic, context-sensitive environments, critiquing classical AI approaches.
A metaphysical dimension questions the justification for the common sense law of inertia, relating to ontological choices similar to Goodman's grue paradox in induction.
Today, the technical frame problem is largely solved in AI, but philosophical debates continue, especially regarding informational unencapsulation and relevance in cognitive science.
Heideggerian and situated robotics approaches are proposed to dissolve the frame problem by moving beyond representational frameworks to embodied, dynamic systems.

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