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Action Language
In computer science, an action language is a language for specifying state transition systems, and is commonly used to create formal models of the effects of actions on the world. Action languages are commonly used in the artificial intelligence and robotics domains, where they describe how actions affect the states of systems over time, and may be used for automated planning. Action languages fall into two classes: action description languages and action query languages. Examples of the former include STRIPS, PDDL, Language A (a generalization of STRIPS; the propositional part of Pednault's ADL), Language B (an extension of A adding ''indirect effects'', distinguishing static and dynamic laws) and Language C (which adds indirect effects also, and does not assume that every fluent is automatically "inertial"). There are also the Action Query Languages P, Q and R. Several different algorithms exist for converting action languages, and in particular, action language C, to answ ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Computer Science
Computer science is the study of computation, information, and automation. Computer science spans Theoretical computer science, theoretical disciplines (such as algorithms, theory of computation, and information theory) to Applied science, applied disciplines (including the design and implementation of Computer architecture, hardware and Software engineering, software). Algorithms and data structures are central to computer science. The theory of computation concerns abstract models of computation and general classes of computational problem, problems that can be solved using them. The fields of cryptography and computer security involve studying the means for secure communication and preventing security vulnerabilities. Computer graphics (computer science), Computer graphics and computational geometry address the generation of images. Programming language theory considers different ways to describe computational processes, and database theory concerns the management of re ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Boolean SAT
In logic and computer science, the Boolean satisfiability problem (sometimes called propositional satisfiability problem and abbreviated SATISFIABILITY, SAT or B-SAT) asks whether there exists an interpretation that satisfies a given Boolean formula. In other words, it asks whether the formula's variables can be consistently replaced by the values TRUE or FALSE to make the formula evaluate to TRUE. If this is the case, the formula is called ''satisfiable'', else ''unsatisfiable''. For example, the formula "''a'' AND NOT ''b''" is satisfiable because one can find the values ''a'' = TRUE and ''b'' = FALSE, which make (''a'' AND NOT ''b'') = TRUE. In contrast, "''a'' AND NOT ''a''" is unsatisfiable. SAT is the first problem that was proven to be NP-complete—this is the Cook–Levin theorem. This means that all problems in the complexity class NP, which includes a wide range of natural decision and optimization problems, are at most as difficult to solve as SAT. There is no know ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Automated Planning And Scheduling
Automated planning and scheduling, sometimes denoted as simply AI planning, is a branch of artificial intelligence that concerns the realization of strategies or action sequences, typically for execution by intelligent agents, autonomous robots and unmanned vehicles. Unlike classical control and classification problems, the solutions are complex and must be discovered and optimized in multidimensional space. Planning is also related to decision theory. In known environments with available models, planning can be done offline. Solutions can be found and evaluated prior to execution. In dynamically unknown environments, the strategy often needs to be revised online. Models and policies must be adapted. Solutions usually resort to iterative trial and error processes commonly seen in artificial intelligence. These include dynamic programming, reinforcement learning and combinatorial optimization. Languages used to describe planning and scheduling are often called action language ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Programming Language Classification
Program (American English; also Commonwealth English in terms of computer programming and related activities) or programme (Commonwealth English in all other meanings), programmer, or programming may refer to: Business and management * Program management, the process of managing several related projects * Time management * Program, a part of planning Arts and entertainment Audio * Programming (music), generating music electronically * Radio programming, act of scheduling content for radio * Synthesizer programmer, a person who develops the instrumentation for a piece of music Video or television * Broadcast programming, scheduling content for television * Program music, a type of art music that attempts to render musically an extra-musical narrative * Synthesizer patch or program, a synthesizer setting stored in memory * "Program", an instrumental song by Linkin Park from '' LP Underground Eleven'' * Programmer, a film on the lower half of a double feature bill; see B-movie ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Event Calculus
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 event calculus represents the state of the world at any time by the set of all the facts (called '' fluents'') that hold at the time. Events initiate and terminate fluents: The event calculus differs from most other approaches for reasoning about change by reifying time, associating events with the time at which they happen, and associating fluents with the times at which they hold. The original version of the event calculus, introduced by Robert Kowalski and Marek Sergot in 1986, was formulated as a logic program and developed for representing narratives and database updates. Kave Eshghi showed how to use the event calculus for planning, by using abduction to generate hypot ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Situation Calculus
The situation calculus is a logic formalism designed for representing and reasoning about dynamical domains. It was first introduced by John McCarthy in 1963. The main version of the situational calculus that is presented in this article is based on that introduced by Ray Reiter in 1991. It is followed by sections about McCarthy's 1986 version and a logic programming formulation. Overview The situation calculus represents changing scenarios as a set of first-order logic formulae. The basic elements of the calculus are: *The actions that can be performed in the world *The fluents that describe the state of the world *The situations A domain is formalized by a number of formulae, namely: *Action precondition axioms, one for each action *Successor state axioms, one for each fluent *Axioms describing the world in various situations *The foundational axioms of the situation calculus A simple robot world will be modeled as a running example. In this world there is a single robot ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Fluent Calculus
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. A binary function symbol \circ is used to concatenate the terms that represent facts that hold in a situation. For example, that the box is on the table in the situation s is represented by the formula \exists t . s = on(box,table) \circ t. The frame problem is solved by asserting that the situation after the execution of an action is identical to the one before but for the conditions changed by the action. For example, the action of moving the box from the table to the floor is formalized as: : State(Do(move(box,table,floor), s)) \circ on(box,table) = State(s) \circ on(box,floor) This formula states that the state after the move is added the term on(box,floor) and removed the term on(box,table). Axioms specifying that \circ is commutative and non-idempotent are necessary ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
GOLOG
Golog (Golok or Guoluo) Tibetan Autonomous Prefecture ( zh, c=果洛藏族自治州 , p=Guǒluò Zàngzú Zìzhìzhōu; ) is an autonomous prefecture occupying the southeastern corner of Qinghai province, China. The prefecture has an area of and its seat is located in Maqên County. Due to its special geographical location and natural environment, the entire autonomous preference has been included in the Chinese largest natural environmental protection area — the Sanjiangyuan National Park. Geography Golog Prefecture is located in the southeastern part of Qinghai, in the upper basin of the Yellow River. Gyaring Lake and Ngoring Lake on the western edge of the prefecture are considered to be the source of the Yellow River. However, these lakes do receive water from rivers that flow from locations even further west, in Qumarleb County of the Yushu Tibetan Autonomous Prefecture. The lay of the land of the prefecture is largely determined by the Amne Machin mountain range ( ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Linear Temporal Logic
In logic, linear temporal logic or linear-time temporal logic (LTL) is a modal logic, modal temporal logic with modalities referring to time. In LTL, one can encode formula (logic), formulae about the future of path (graph theory), paths, e.g., a condition will eventually be true, a condition will be true until another fact becomes true, etc. It is a fragment of the more complex CTL*, which additionally allows branching time and quantifier (logic), quantifiers. LTL is sometimes called propositional temporal logic (PTL). In terms of expressive power (computer science), expressive power, LTL is a fragment of first-order logic. LTL was first proposed for the formal verification of computer programs by Amir Pnueli in 1977. Syntax LTL is built up from a finite set of propositional variables ''AP'', the logical connective, logical operators ¬ and ∨, and the Temporal logic, temporal modal operators X (some literature uses O or N) and U. Formally, the set of LTL formulas over ''AP'' is ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Fluent (artificial Intelligence)
In artificial intelligence, a fluent is a condition that can change over time. In logical approaches to reasoning about actions, fluents can be represented in first-order logic by Predicate (logic), predicates having an argument that depends on time. For example, the condition "the box is on the table", if it can change over time, cannot be represented by \mathrm(\mathrm,\mathrm); a third argument is necessary to the predicate \mathrm to specify the time: \mathrm(\mathrm,\mathrm,t) means that the box is on the table at time t. This representation of fluents is modified in the situation calculus by using the sequence of the past actions in place of the current time. A fluent can also be represented by a function, dropping the time argument. For example, that the box is on the table can be represented by on(box,table), where on is a function and not a predicate. In first-order logic, converting predicates to functions is called Reification (knowledge representation), reification; f ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Satisfiability
In mathematical logic, a formula is ''satisfiable'' if it is true under some assignment of values to its variables. For example, the formula x+3=y is satisfiable because it is true when x=3 and y=6, while the formula x+1=x is not satisfiable over the integers. The dual concept to satisfiability is validity; a formula is ''valid'' if every assignment of values to its variables makes the formula true. For example, x+3=3+x is valid over the integers, but x+3=y is not. Formally, satisfiability is studied with respect to a fixed logic defining the syntax of allowed symbols, such as first-order logic, second-order logic or propositional logic. Rather than being syntactic, however, satisfiability is a semantic property because it relates to the ''meaning'' of the symbols, for example, the meaning of + in a formula such as x+1=x. Formally, we define an interpretation (or model) to be an assignment of values to the variables and an assignment of meaning to all other non-logical symbol ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Answer Set Program
Answer commonly refers to a response to a question. Answer may also refer to: Music * Answer, an element of a fugue Albums * ''Answer'' (Angela Aki album), 2009 * ''Answer'' (Supercar album), 2004 * ''Answers'' (album), 1994 * '' The Answers'', an album by Blue October Songs * "Answer" (Tohoshinki song) * "Answer" (Flow song), 2007 * "Answer" (Tyler, the Creator song), 2013 *"Answer", by Sarah McLachlan from her 2003 album '' Afterglow'' *"Answer", by Mayu Maeshima, opening song from the 2021 anime '' Full Dive'' *"Answer", by Ateez Publications * ''Answers'' (periodical), British weekly paper founded in 1888, initially titled ''Answers to Correspondents'' *''Answers'', an American magazine published by Answers in Genesis *"Answer", a 1954 science-fiction story by Fredric Brown Answer engines * Answers.com * Yahoo! Answers Other uses * Answer (law), any reply to a question, counter-statement or defense in a legal procedure * HMS ''Answer'', a British Royal Navy sh ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
