Search results
Results from the WOW.Com Content Network
The frame problem occurs even in very simple domains. A scenario with a door, which can be open or closed, and a light, which can be on or off, is statically represented by two propositions and .
This representation of fluents is used in the event calculus, in the fluent calculus, and in the features and fluents logics. Some fluents can be represented as functions in a different way. For example, the position of a box can be represented by a function o n ( b o x , t ) {\displaystyle on(box,t)} whose value is the object the box is ...
The event calculus is a logical theory for representing and reasoning about events and about the way in which they change the state of some real or artificial world. It deals both with action events, which are performed by agents, and with external events, which are outside the control of any agent.
The fluent calculus is a formalism for expressing dynamical domains in first-order logic.It is a variant of the situation calculus; the main difference is that situations are considered representations of states.
The version of the situation calculus introduced by McCarthy in 1986 differs to the original one by the use of functional fluents (e.g., (,) is a term representing the position of x in the situation s) and for an attempt to use circumscription to replace the frame axioms.
The name "frame problem" has been at some point used to indicate more generally the problem of "formalizing domains with actions in logic", but I think this use is obsolete now. Regarding inertia, this was the initial assmption in the original problem; there are however some logics where fluents can be specified not to be inertial.
Fluent Design System (codenamed "Project Neon"), [11] officially unveiled as Microsoft Fluent Design System, [12] is a design language developed in 2017 by Microsoft.Fluent Design is a revamp of Microsoft Design Language 2 (sometimes erroneously known as "Metro", the codename of Microsoft Design Language 1) that includes guidelines for the designs and interactions used within software designed ...
There exists a probabilistic polynomial time (PPT) sampling algorithm Gen s.t. Gen(1 n) = (k, t k) with k ∈ K ∩ {0, 1} n and t k ∈ {0, 1} * satisfies | t k | < p (n), in which p is some polynomial. Each t k is called the trapdoor corresponding to k. Each trapdoor can be efficiently sampled. Given input k, there also exists a PPT algorithm ...