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 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.

2. General intelligence as the Holy Grail

2018 ◽  
Author(s):  
Margaret A. Boden
Keyword(s):  
Machine Learning ◽  
Knowledge Representation ◽  
Distributed Cognition ◽  
State Of The Art ◽  
General Intelligence ◽  
Frame Problem ◽  
Holy Grail ◽  
Artificial General Intelligence ◽  
The Frame Problem ◽  
Forms Of Knowledge

A host of state-of-the-art AI applications exist, designed for countless specific tasks and used in almost every area of life, by laymen and professionals alike. Many outperform even the most expert humans. In that sense, progress has been spectacular. But the AI pioneers were also hoping for systems with general intelligence. ‘General intelligence as the Holy Grail’ explains why artificial general intelligence is still highly elusive despite recent increases in computer power. It considers the general AI strategies in recent research—heuristics, planning, mathematical simplification, and different forms of knowledge representation—and discusses the concepts of the frame problem, agents and distributed cognition, machine learning, and generalist systems.

scholarly journals Logical Formalizations of Commonsense Reasoning: A Survey

2017 ◽  
Vol 59 ◽  
pp. 651-723 ◽  
Author(s):  
Ernest Davis
Keyword(s):  
Artificial Intelligence ◽  
Central Problem ◽  
Logical Inference ◽  
Commonsense Reasoning ◽  
Commonsense Knowledge ◽  
Artificial Intelligence Research ◽  
Representation Language

Commonsense reasoning is in principle a central problem in artificial intelligence, but it is a very difficult one. One approach that has been pursued since the earliest days of the field has been to encode commonsense knowledge as statements in a logic-based representation language and to implement commonsense reasoning as some form of logical inference. This paper surveys the use of logic-based representations of commonsense knowledge in artificial intelligence research.

scholarly journals Knowledge Representation and Reasoning — A History of DARPA Leadership

AI Magazine ◽  
2020 ◽  
Vol 41 (2) ◽  
pp. 9-21
Author(s):  
Richard Fikes ◽  
Tom Garvey
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Representation ◽  
Knowledge Representation And Reasoning ◽  
Research Projects ◽  
Artificial Intelligence Research ◽  
Fundamental Goal ◽  
Computational Support ◽  
Intelligent Behavior ◽  
History Of ◽  
The Impact

A fundamental goal of artificial intelligence research and development is the creation of machines that demonstrate what humans consider to be intelligent behavior. Effective knowledge representation and reasoning methods are a foundational requirement for intelligent machines. The development of these methods remains a rich and active area of artificial intelligence research in which advances have been motivated by many factors, including interest in new challenge problems, interest in more complex domains, shortcomings of current methods, improved computational support, increases in requirements to interact effectively with humans, and ongoing funding from the Defense Advanced Research Projects Agency and other agencies. This article highlights several decades of advances in knowledge representation and reasoning methods, paying particular attention to research on planning and on the impact of the Defense Advanced Research Projects Agency’s support.

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.

Sign in / Sign up

Export Citation Format

Share Document