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"The frame problem, then and now" (PDF). University of Texas at Austin. Archived (PDF) from the original on 2014-02-11. Presented at Celebration of John McCarthy's Accomplishments, Stanford University, March 25, 2012. McCarthy, J.; Hayes, P. J. (1969). "Some philosophical problems from the standpoint of artificial intelligence". Machine ...
NC = P problem The P vs NP problem is a major unsolved question in computer science that asks whether every problem whose solution can be quickly verified by a computer (NP) can also be quickly solved by a computer (P). This question has profound implications for fields such as cryptography, algorithm design, and computational theory.
The frame problem shows in this example as the problem that is not a consequence of the above formulae, while the door is supposed to stay closed until the action of opening it is performed. Circumscription can be used to this aim by defining new variables c h a n g e _ o p e n t {\displaystyle change\_open_{t}} to model changes and then ...
Frame technology (FT) is a language-neutral (i.e., processes various languages) system that manufactures custom software [1] from reusable, machine-adaptable building blocks, called frames. FT is used to reduce the time, effort, and errors involved in the design, construction, and evolution of large, complex software systems.
The need to specify frame axioms has long been recognised as a problem in axiomatizing dynamic worlds, and is known as the frame problem. As there are generally a very large number of such axioms, it is very easy for the designer to leave out a necessary frame axiom, or to forget to modify all appropriate axioms when a change to the world ...
Python is a high-level, general-purpose programming language that is popular in artificial intelligence. [1] It has a simple, flexible and easily readable syntax. [2] Its popularity results in a vast ecosystem of libraries, including for deep learning, such as PyTorch, TensorFlow, Keras, Google JAX.
McCarthy and Hayes introduced the Frame Problem in 1969 in the paper, "Some Philosophical Problems from the Standpoint of Artificial Intelligence." [ 93 ] A simple example occurs in "proving that one person could get into conversation with another", as an axiom asserting "if a person has a telephone he still has it after looking up a number in ...
The history of computational thinking as a concept dates back at least to the 1950s but most ideas are much older. [6] [3] Computational thinking involves ideas like abstraction, data representation, and logically organizing data, which are also prevalent in other kinds of thinking, such as scientific thinking, engineering thinking, systems thinking, design thinking, model-based thinking, and ...