scholarly journals When Science Confronts Philosophy: Three Case Studies

Axiomathes ◽  
2020 ◽  
Vol 30 (5) ◽  
pp. 479-500 ◽  
Author(s):  
Eric Dietrich
Keyword(s):  
Artificial Intelligence ◽  
Case Studies ◽  
Recent Attempt ◽  
Frame Problem ◽  
Zeno's Paradoxes ◽  
The Face ◽  
The Frame Problem

AbstractThis paper examines three cases of the clash between science and philosophy: Zeno’s paradoxes, the Frame Problem, and a recent attempt to experimentally refute skepticism. In all three cases, the relevant science claims to have resolved the purported problem. The sciences, construing the term broadly, are mathematics, artificial intelligence, and psychology. The goal of this paper is to show that none of the three scientific solutions work. The three philosophical problems remain as vibrant as ever in the face of robust scientific attempts to dispel them. The paper concludes by examining some consequences of this persistence.

The Frame Problem in Ethics

2020 ◽  
Vol 2 ◽  
pp. 53-73
Author(s):  
Sebastian Gałecki
Keyword(s):  
Artificial Intelligence ◽  
Moral Judgment ◽  
First Principles ◽  
Practical Reasoning ◽  
Ethical Principles ◽  
Frame Problem ◽  
Classical Philosophy ◽  
The Frame Problem ◽  
The Invisible

Although the “frame problem” in philosophy has been raised in the context of the artificial intelligence, it is only an exemplification of broader problem. It seems that contemporary ethical debates are not so much about conclusions, decisions, norms, but rather about what we might call a “frame”. Metaethics has always been the bridge between purely ethical principles (“this is good and it should be done”, “this is wrong and it should be avoided”) and broader (ontological, epistemic, anthropological etc.) assumptions. One of the most interesting meta-ethical debates concerns the “frame problem”: whether the ethical frame is objective and self-evident, or is it objective but not self-evident? In classical philosophy, this problem takes the form of a debate on the first principles: nonprovable but necessary starting points for any practical reasoning. They constitute the invisible but essential frame of every moral judgment, decision and action. The role of philosophy is not only to expose these principles, but also to understand the nature of the moral frame.

Solving the Frame Problem Socially

2018 ◽  
Author(s):  
Harry Halpin
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Knowledge Representation ◽  
Formal System ◽  
Philosophical Investigation ◽  
Logical Inference ◽  
Frame Problem ◽  
Artificial Intelligence Research ◽  
Technological Means ◽  
The Frame Problem

The question of how technology impacts the existing forms of epistemology and forms a new kind of socially extended epistemology deserves a thorough philosophical investigation. Traditionally, epistemology has been bound to a vision of knowledge as internal beliefs justified via logical inference. This view was externalized by artificial intelligence research into knowledge representation. Yet historically this form of research has failed, with knowledge representation being unable to cope with the Frame Problem: How to capture a changing and fluid world in a formal system that can be mechanized? Today, people use search engines, tagging, and social media to leave an enactive “social trail” through the vast amount of information, creating new kinds of distributed and extended knowledge that challenges traditional theories of epistemology. This shaping of the epistemic environment allows humans to socially solve the Frame Problem and extend the bounds of knowledge via technological means.

THE FRAME PROBLEM FROM AN ENGINEERING PERSPECTIVE

1993 ◽  
Vol 03 (02) ◽  
pp. 257-265
Author(s):  
JACQUES H.J. LENTING ◽  
PETER J. BRASPENNING
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Acquisition ◽  
General Problem ◽  
Knowledge Engineering ◽  
Technical Problem ◽  
Frame Problem ◽  
Considerable Confusion ◽  
The Frame Problem ◽  
Effective Representation ◽  
General Technical

Since its introduction in 1969, the phrase “frame problem” has been attributed various interpretations. Most researchers in the field of Artificial Intelligence define the frame problem as the problem of finding an effective representation for reasoning about change. Logicians use the phrase to refer to a much less general technical problem within logic whereas philosophers tend to interpret the phrase as the more general problem of determining (ir)relevance. All in all, this discrepancy has led to considerable confusion about the meaning of the phrase. We contend that most of this confusion can be avoided, if the original (robotics) context of the frame problem is adhered to. We present an engineering view on the frame problem that allows us to strip the frame problem from associated problem notions like qualification and ramification. The problem that remains is intimately related to the knowledge acquisition bottleneck in knowledge engineering.

Integral, Implicitly Intelligent Systems

1989 ◽  
Vol 4 (1) ◽  
pp. 41-48
Author(s):  
Ivo Ŝpigel
Keyword(s):  
Artificial Intelligence ◽  
System Design ◽  
Intelligent Systems ◽  
Explicit Representation ◽  
Frame Problem ◽  
The Frame Problem ◽  
Artificial Intelligence Systems ◽  
Representation Of Knowledge

Artificial intelligence systems today suffer from problems that are widely acknowledged within the discipline: brittleness, inflexibility, the frame problem and others. These problems are due largely to insufficient methodological foresight in system design. In particular, reduction of a system into components and the explicit representation of knowledge (frames, rules etc) are misused. Research has begun at OZIR to investigate a different class of system: integral and implicitly intelligent. This paper explains the hypotheses involved and the direction of research.

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