The frame problem, the relevance problem, and a package solution to both

Synthese 187 (S1):43-72 (2012)
Abstract
As many philosophers agree, the frame problem is concerned with how an agent may efficiently filter out irrelevant information in the process of problem-solving. Hence, how to solve this problem hinges on how to properly handle semantic relevance in cognitive modeling, which is an area of cognitive science that deals with simulating human's cognitive processes in a computerized model. By "semantic relevance", we mean certain inferential relations among acquired beliefs which may facilitate information retrieval and practical reasoning under certain epistemic constraints, e. g., the insufficiency of knowledge, the limitation of time budget, etc. However, traditional approaches to relevance—as for example, relevance logic, the Bayesian approach, as well as Description Logic—have failed to do justice to the foregoing constraints, and in this sense, they are not proper tools for solving the frame problem/relevance problem. As we will argue in this paper, Non-Axiomatic Reasoning System (NARS) can handle the frame problem in a more proper manner, because the resulting solution seriously takes epistemic constraints on cognition as a fundamental theoretical principle
Keywords The frame problem  Semantic relevance  Confirmation paradox  The Bayesian approach  Description Logic  Non-Axiomatic Reasoning System
Categories No categories specified
(categorize this paper)
Options
 Save to my reading list
Follow the author(s)
My bibliography
Export citation
Find it on Scholar
Edit this record
Mark as duplicate
Revision history Request removal from index
 
Download options
PhilPapers Archive


Upload a copy of this paper     Check publisher's policy on self-archival     Papers currently archived: 9,351
External links
  • Through your library Configure
    References found in this work BETA

    View all 21 references

    Citations of this work BETA

    No citations found.

    Similar books and articles
    Sheldon J. Chow (2013). What's the Problem with the Frame Problem? Review of Philosophy and Psychology 4 (2):309-331.
    David McFarland (1992). Animals as Cost-Based Robots. International Studies in the Philosophy of Science 6 (2):133 – 153.
    Joseph Agassi (1993). The Heuristic Bent. Philosophy and Rhetoric 26 (1):9 - 30.
    Analytics

    Monthly downloads

    Added to index

    2012-05-09

    Total downloads

    16 ( #85,889 of 1,088,372 )

    Recent downloads (6 months)

    1 ( #69,449 of 1,088,372 )

    How can I increase my downloads?

    My notes
    Sign in to use this feature


    Discussion
    Start a new thread
    Order:
    There  are no threads in this forum
    Nothing in this forum yet.