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Topic: Generalized nondeterministic finite state machine


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In the News (Sat 28 Nov 09)

  
  State diagram - Wikipedia, the free encyclopedia
State diagrams are used to graphically represent finite state machines.
A classic form of a state diagram for a finite state machine is a directed graph where
For a deterministic finite state machine (DFA), nondeterministic finite state machine (NFA), generalized nondeterministic finite state machine (GNFA), or Moore machine, input is signified on each edge
en.wikipedia.org /wiki/State_diagram#UML_state_diagram   (511 words)

  
 Finite state machine - Gurupedia
Finite state machines are studied in automata theory, a subfield of theoretical computer science.
Nondeterministic automata are usually implemented by converting them to deterministic automata—in the worst case, the generated deterministic automaton is exponentially bigger than the nondeterministic automaton (although it can usually be substantially optimised).
The problem of optimizing an FSM (finding the machine with the least number of states that performs the same function) is decidable, unlike the same problem for more computationally powerful machines.
www.gurupedia.com /f/fi/finite_state_automaton.htm   (524 words)

  
 Basics of Automata Theory
Each state accepts a finite number of inputs, and each state has rules that describe the action of the machine for ever input, represented in the state transition mapping function.
States are represented by nodes of graphs, transitions by the arrows or branches, and the corresponding inputs and outputs are denoted by symbols.
They can operate on languages with a finite number of words (standard case), an infinite number of words (Rabin automata, Bïrche automata), various types of trees, and in hardware circuits, where the input, the state and the output are bit vectors of a fixed size.
www.stanford.edu /~jcackler/automata/basics.htm   (1640 words)

  
 Nonlinear Dynamics and Complex Systems Theory (Glossary)   (Site not responding. Last check: 2007-09-10)
Generate a new set by deleting the middle thirds (1/9, 2/9) and (7/9, 8/9) from the previous set with the middle third removed.
Generic Cellular Automata (CA) are dynamical systems in which space, time and the local state space are all discretized.
To be more precise, a finite automaton M is defined to consist of a finite alphabet A, a finite set of states X, and a state-transition function f: X x A -X that gives the next state given the current state and the current input symbol.
www.cna.org /isaac/Glossb.htm   (8566 words)

  
 Chapter 1 – Regular Languages   (Site not responding. Last check: 2007-09-10)
The controller is the states of the machine, and the controller moves from state to state depending on the inputs it receives.
A GNFA of k states is reduced to a GNFA of k-1 states repeatedly until only 2 states remain, and the regular expression for the language is on the arrow from the start state to the accept state.
States that all regular languages have a special property, and if we can show that a language does not have this property, then it is not regular.
www.cs.uno.edu /~alayburn/notes/IntroToTheoryOfComputation.htm   (2485 words)

  
 Citations: On Some Applications of Finite-State Automata Theory to Natural Language Processing - Mehryar (ResearchIndex)
Finite state transducers read their input symbol by symbol and each time they read a symbol, they give a corresponding output and move to a new state.
Maohri gives the experimental results for a large finite state dictionaries and claims that it is efficient both in the sense of time and space.
This generalization is necessary in many applications such as language processing to account for nite ambiguities [14] Another advantage of the use of nitely subsequential transducers is that a general minimization algorithm is available for these machines [15] which can help reduce their....
citeseer.ist.psu.edu /context/165632/1092   (2465 words)

  
 A Statistical Learning/Pattern Recognition Glossary   (Site not responding. Last check: 2007-09-10)
An equivalent definition is hierarchical sampling: to sample from the density, first draw a state at random (using a distribution over states) and then sample from that component.
Equivalently, it is an HMM with a nonstationary state transition matrix, that changes whenever you stay in the same state, and resets when you leave the state.
The generalization is that there is a continuum of possible hidden states; it is an infinite mixture.
www.cs.wisc.edu /~hzhang/glossary.html   (4913 words)

  
 bibliography
For a given IC technology or computing environment, the speed of a finite state machine is limited by the iteration bound imposed by the recursive state transitions.
This paper describes a general approach to improve the speed beyond the given iteration bound of an arbitrary synchronous finite state machine, or a discrete-time finite-state Markov process.
Because of the recursion in state transitions, the throughput of a finite state machine is generally thought to be limited for a given IC technology or processing environment.
www.win.tue.nl /~mhorst/bibliography/bibliography.html   (14682 words)

  
 CSAIL Publications
The second states that the structure and motion of three points forming two hinged rods constrained to move in a plane is recoverable from two orthographic projections.
This paper states the goals and milestones of the remaining three years of a five year research project to study the fundamental principles underlying the design and construction of large software systems and to demonstrate the feasibility of a computer aided design tool for this purpose, called the programmer’s apprentice.
The parser and companion generator were implemented for two reasons: (a) to enable experimental work in support of a theory of learning by analogy; (b) to demonstrate the viability of a theory of parsing and generation built on commutative transformations.
www.ai.mit.edu /research/publications/browse/0600browse.shtml   (12078 words)

  
 Dotted Grammars - Generalized Deterministic Parsing   (Site not responding. Last check: 2007-09-10)
During that period I developed an interest in the machine models which were used to implement software components like parsers, Prolog interpreters, the machine models for C programs and the like.
By studying relevant literature and working example programs I decided that the state of the systems studied were all based on a single runtime stack which was used to store attributes and to guide the flow of control within the system.
The Tiny parser generator is a proof of concept implementation of a parser generator for dotted grammars.
www.gittens.nl /grammar.html   (1053 words)

  
 org.metasyntactic.math.automata()
Abstract class implementing base functionality for a finite state machine, such as a NondeterministicFiniteAutomata or a DeterministicFiniteAutomata.
Generalized nondeterministic finite automata (GNFA) are simply nondeterministic finite automata wherein the transition arrows may have any regular expressions as labels, instead of only members of the alphabet or ε.
This class merely serves as a struct to allow a state and a symbol to be used as an index in a mapping
www.stwing.upenn.edu /~cyrusn/doc/org/metasyntactic/math/automata/package-summary.html   (350 words)

  
 Generalized Acceptance, Succinctness and Supernondeterministic Finite Automata Lynette van Zijl (ResearchIndex)
We show that generalized acceptance enable the construction of a hierarchy of succinct nondeterministic descriptions for nite automata.
The hierarchy corresponds to deterministic nite automata on level 0 and nondeterministic nite automata on level 1 by default, and we prove that the hierarchy corresponds to alternating...
9.7%: Generalized Nondeterminism and the Succinct Representation of..
citeseer.ist.psu.edu /696384.html   (351 words)

  
 Citations: Dynamic construction of finite-state automata from examples using hillclimbing - Tomita (ResearchIndex)
....finite automaton accepting L. 2 In Figure 12.2, the first to third columns (ignore the column labeled experiment for now) we use nine languages to compare the size of the associated minimal DFA with the complexity we found.
....work reported here the state space dimension d was always equal to 2, which gives the model a total of 17 free parameters 3 for the perceptron, 6 for each subnetwork and 2 for the initial point.
A Genetic Algorithm for the Induction of Nondeterministic..
citeseer.ist.psu.edu /context/40239/0   (3456 words)

  
 Turing Machines and Grammars
Languages are defined by machines that accept them, and by grammars that generate them.
State machines recognize the languages produced by type 3 (regular) grammars, and nondeterministic push down machines recognize the languages produced by type 2 (context free) grammars.
nondeterministic bounded turing machines accept the languages of type 1 grammars, and unconstrained turing machines accept the languages of type 0 grammars.
www.mathreference.com /lan-tm,gram.html   (759 words)

  
 Machine Learning List: Vol. 8, No. 5   (Site not responding. Last check: 2007-09-10)
It is therefore broadly agreed in both the Distributed AI and the Machine Learning community that there is the need to endow these systems with the ability to adapt and learn, that is, to self-improve their future performance.
General The journal of Intelligent Data Analysis invites submission of research and application papers within the aims and scope of the journal.
The learning algorithm is generally applicable to any problem in which low-level membership values are combined through an and-or tree structure to give a final overall membership value.
www.ics.uci.edu /~mlearn/MLlist/v8/5.html   (8000 words)

  
 Automata tools
The finite state machine is described in a high level language for modeling concrete systems.
The conversions are nondeterministic finite automaton (NFA) to deterministic finite automaton (DFA), DFA to minimum state DFA, NFA to regular grammar, regular grammar to NFA, nondeterministic pushdown automaton (NPDA) to context-free grammar (CFG), and three algorithms for CFG to NPDA.
Another Finite State Machine Simulator java application is a tool designed to aid students in learning how FSM and NFA work.
members.fortunecity.com /boroday/Automatatools.html   (2778 words)

  
 Citebase - MSO definable string transductions and two-way finite state transducers   (Site not responding. Last check: 2007-09-10)
String transductions that are definable in monadic second-order (mso) logic (without the use of parameters) are exactly those realized by deterministic two-way finite state transducers.
Nondeterministic mso definable string transductions (i.e., those definable with the use of parameters) correspond to compositions of two nondeterministic two-way finite state transducers that have the finite visit property.
Both families of mso definable string transductions are characterized in terms of Hennie machines, i.e., two-way finite state transducers with the finite visit property that are allowed to rewrite their input tape.
www.citebase.org /cgi-bin/citations?id=oai:arXiv.org:cs/9906007   (132 words)

  
 CSCI 4602 Fall 2002
We did the subset construction, used to convert a nondeterministic finite state machine into an equivalent deterministic finite state machine.
We looked at machines with multiple tracks, multiple heads and multiple tapes, as well as machines with a random access memory, and saw that none are more powerful than a single-tape Turing machine.
A machine that has just two counters, which it can increment, decrement and check for zero, is as powerful as a Turing machine.
www.cs.ecu.edu /~karl/4602/fall02   (909 words)

  
 Grail+ - Links
The object is to guess the structure of a finite state machine by finding out which words are accepted by the machine and which ones are not.
Ragel's finite state machines are closed under all of its operators.
A Turing machine has a finite number of states and is in exactly one of these states at any given time.
www.csd.uwo.ca /Research/grail/links.html   (1566 words)

  
 Test Selection Based on Communicating Nondeterministic Finite-State Machines Using a Generalized Wp-Method
Presents a method of generating test sequences for concurrent programs and communication protocols that are modeled as communicating nondeterministic finite-state machines (CNFSMs).
A test generation method for a single nondeterministic finite-state machine (NFSM) is developed, which is an improved and generalized version of the Wp-method that generates test sequences only for deterministic finite-state machines.
When applied to deterministic finite-state machines, it yields usually smaller test suites with full fault coverage than the existing methods that also provide full fault coverage, provided that the number of states in implementation NFSMs are bounded by a known integer.
csdl2.computer.org /persagen/DLAbsToc.jsp?resourcePath=/dl/trans/ts/&toc=comp/trans/ts/1994/02/e2toc.xml&DOI=10.1109/32.265636   (926 words)

  
 Testing from a Nondeterministic Finite State Machine Using Adaptive State Counting
The problem of generating a checking experiment from a nondeterministic finite state machine has been represented in terms of state counting.
This paper extends the notion of state counting in order to allow the input/output sequences observed in testing to be utilized: Adaptive state counting is introduced.
An additional benefit is that, where a failure is observed, it is possible to terminate test generation at this point.
csdl2.computer.org /persagen/DLAbsToc.jsp?resourcePath=/dl/trans/tc/&toc=comp/trans/tc/2004/10/txtoc.xml&DOI=10.1109/TC.2004.85   (492 words)

  
 All articles - Dic.blogopt.com   (Site not responding. Last check: 2007-09-10)
General election can be a drastic and unexpected change.
General location of national system of interstate highways
General of the Armies of the United States
dic.blogopt.com /Special:Allpages/General_Yamashita   (159 words)

  
 Citebase - Theory of One Tape Linear Time Turing Machines   (Site not responding. Last check: 2007-09-10)
Authors: Tadaki, Kohtaro; Yamakami, Tomoyuki; Lin, Jack C. A theory of one-tape linear-time Turing machines is quite different from its polynomial-time counterpart since one-tape linear-time Turing machines are closely related to finite state automata.
This paper discusses structural-complexity issues of one-tape Turing machines of various types (deterministic, nondeterministic, reversible, alternating, probabilistic, counting, and quantum Turing machines) that halt in linear time, where the running time of a machine is defined as the height of its computation tree.
We clarify how the machine types affect the computational patterns of one-tape linear-time Turing machines.
www.citebase.org /cgi-bin/citations?id=oai:arXiv.org:cs/0310046   (176 words)

  
 9. FOCS 1968: City, State   (Site not responding. Last check: 2007-09-10)
Nieh, Jack W. Carlyle: On a Measure of Complexity for Stochastic Sequential Machines.
Alan Cobham: On the Hartmanis-Stearns Problem for a Class of TAG Machines.
Melvin A. Breuer: Fault Detection in a Linear Cascade of Identical Machines.
www.informatik.uni-trier.de /~ley/db/conf/focs/focs68.html   (413 words)

  
 EDAC 1994
Hyunwoo Cho, Gary D. Hachtel, Enrico Macii, Massimo Poncino, Fabio Somenzi: A State Space Decomposition Algorithm for Approximate FSM Traversal.
Gary D. Hachtel, Enrico Macii, Abelardo Pardo, Fabio Somenzi: Symbolic Algorithms to Calculate Steady-State Probabilities of a Finite State Machine.
Nancy D. Holmes, Daniel Gajski: An Algorithm for Generation of Behavioral Shape Functions.
www.vldb.org /dblp/db/conf/eurodac/eurodac1994.html   (1905 words)

  
 Conference on Implementation and Application of Automata
State Complexity and the Monoid of Transformations of a Finite Set
State Complexity of Basic Operations on Nondeterministic Finite Automata
Finite Automata for Compact Representation of Language Models in NLP
wotan.liu.edu /docis/dbl/wiawia   (1347 words)

  
 nondeterministic . net : December 2005 archive   (Site not responding. Last check: 2007-09-10)
I found my missing edges (no more relying on NuSMV to flatten the Finite State Machine, something's wacky in there), and rewrote my code in Ruby, which is a very nice language I've been wanting to become more familiar with and this served as an excellent opportunity.
A global state is an instantaneous description of the system; some states are initial states
A history is a sequence of global states, beginning with an initial state and such that every state and is successor in the history for a step; a system is modeled by the set of all possible histories, this is the interleaving semantics
www.nondeterministic.net /archive/2005/12/index.php   (2630 words)

  
 C#, .Net Framework: Google Search: find file extension with regex in c#
I maintain this site (hosted at SwitchMedia UK) as a way of exploring new technologies (such as AJAX) and just generally talking about techie geek issues.
This site is developed through a host of Perl scripts and a liberal use of Javascript.
Regular expression, C Sharp, Perl regular expression examples, Parsing expression grammar, Regular language, Grep, Generalized nondeterministic finite state machine
www.kinlan.co.uk /2006/03/google-search-find-file-extension-with.html   (407 words)

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