a. A symbol called the middle. ![]() |
||
b. Alphabet, whose elements are called non-terminal symbols. ![]() |
||
c. Production rules. ![]() |
||
d. Alphabet disjoint from non-terminal symbols, whose elements are called terminal symbols. ![]() |
a. Type 1 language ![]() |
||
b. Type 2 language ![]() |
||
c. Type 3 language ![]() |
||
d. Type 4 language ![]() |
a. Finite-state automaton. ![]() |
||
b. Infinite-state automaton ![]() |
||
c. Semi-finite-state automaton ![]() |
||
d. Cellular automaton ![]() |
a. Rejecting ![]() |
||
b. Monotone ![]() |
||
c. Accepting ![]() |
||
d. Probabilistic ![]() |
a. Non-deterministic ![]() |
||
b. Deterministic ![]() |
||
c. Half-deterministic ![]() |
||
d. Semi-deterministic ![]() |
a. Type 1 languages ![]() |
||
b. Type 2 languages ![]() |
||
c. Type 3 languages ![]() |
||
d. Type 4 languages ![]() |
a. Generate rules by modifying given strings. ![]() |
||
b. Generate functions with strings as inputs. ![]() |
||
c. Generate languages by repeatedly modifying given strings. ![]() |
||
d. All of the above ![]() |
a. By derivation qubits ![]() |
||
b. By derivation graphs, which are ordered, acyclic, directed, and labeled ![]() |
||
c. By tree graphs ![]() |
||
d. None of the above ![]() |
a. 2 ![]() |
||
b. 1 ![]() |
||
c. 3 ![]() |
||
d. 4 ![]() |
a. 2 ![]() |
||
b. 3 ![]() |
||
c. 4 ![]() |
||
d. None of the above ![]() |
a. Ignoring automata ![]() |
||
b. Cellular automata ![]() |
||
c. Ignoring machines ![]() |
||
d. Pushdown automata ![]() |
a. It is a physical process whose law of motion implements a rule that defines each output qubit in terms of the input quibits. ![]() |
||
b. It is a machine in which each state fully determines whether an input symbol is to be read and fully determines the transition rule to be used. ![]() |
||
c. It is a machine that is unbreakable. ![]() |
||
d. It is a machine that never stops working. ![]() |
a. A computation that occasionally halts ![]() |
||
b. A computation with infinite input length ![]() |
||
c. Any computation ![]() |
||
d. A computation that consists of a finite number of moves ![]() |
a. It is an abstract computing machine that consists of a finite-state control, an input tape, a read-only input head, a pushdown tape or pushdown store, a read-write pushdown head, an output tape, and a write-only output head. ![]() |
||
b. It is a finite, nonempty ordered set with elements that are symbols or characters. ![]() |
||
c. It is the mapping of objects into strings in accordance with some rules. ![]() |
||
d. None of the above ![]() |
a. An infinite sequence of symbols from a given alphabet ![]() |
||
b. A finite sequence of symbols from a given alphabet ![]() |
||
c. A set consisting of a finite-state control, an input tape, a read-only input head, an output tape, and a write-only output head ![]() |
||
d. None of the above ![]() |
a. It is a set consisting of a finite-state control, an input tape, a read-only input head, an output tape, and a write-only output head. ![]() |
||
b. It is a physical process whose law of motion implements a rule that defines each output qubit in terms of the input quibits. ![]() |
||
c. It is the mapping of objects into random strings. ![]() |
||
d. It is the mapping of objects into strings in accordance with some rules. ![]() |
a. It is a finite, nonempty ordered set with elements that are symbols or characters. ![]() |
||
b. It is the mapping of objects into strings in accordance with some rules. ![]() |
||
c. It is a tuple <Q, S, d, q, F>, where Q, S, q, and F are defined as for finite-state transducers, and the transition is a relation from Q x (S U {epsilon}) to Q. ![]() |
||
d. None of the above ![]() |
a. The one that compares them by length. ![]() |
||
b. The one that compares them alphabetically. ![]() |
||
c. The one that compares them chronologically. ![]() |
||
d. The one that compares them by frequency of use. ![]() |
a. The sequence starts from the initial configuration. ![]() |
||
b. If the sequence is finite, then it ends at a configuration from which no move is possible. ![]() |
||
c. There is no accepting computation on given input. ![]() |
||
d. All of the above ![]() |
a. The sequence starts from the initial configuration on given input. ![]() |
||
b. If the sequence is finite, it ends at a configuration from which no move is possible. ![]() |
||
c. There is no accepting computation on input. ![]() |
||
d. All of the above ![]() |
a. Non-deterministic symbols ![]() |
||
b. Input alphabet ![]() |
||
c. Output alphabet ![]() |
||
d. Finite set of states ![]() |
a. Finite-state control ![]() |
||
b. Input tape ![]() |
||
c. Continuous function ![]() |
||
d. Output tape ![]() |
a. Recursive semi-finite-domain program ![]() |
||
b. Recursive non-finite-domain program ![]() |
||
c. Non-recursive finite-domain program ![]() |
||
d. Recursive finite-domain program ![]() |
a. A set consisting of a finite-state control, an input tape, a read-only input head, an output tape, and a write-only output head ![]() |
||
b. An infinite, nonempty ordered set with elements that are symbols or characters ![]() |
||
c. A finite, nonempty ordered set with elements that are symbols or characters ![]() |
||
d. None of the above ![]() |
a. By a reversible reaction ![]() |
||
b. By an irreversible reaction ![]() |
||
c. By an intractable reaction ![]() |
||
d. By a deterministic action ![]() |
a. Adenine, guanine, cytosine, and thiamine ![]() |
||
b. Adrenaline, guanine, cytosine, and thymine ![]() |
||
c. Adenine, guanine, cytosine, and thymine ![]() |
||
d. None of the above ![]() |
a. High parallelism ![]() |
||
b. High speed ![]() |
||
c. Energy efficiency ![]() |
||
d. All of the above ![]() |
a. They depend on biological equations. ![]() |
||
b. They depend on biological cell interactions. ![]() |
||
c. They depend on biological chemical reactions. ![]() |
||
d. They depend on biological organisms. ![]() |
a. They depend on biologically derived molecules. ![]() |
||
b. They depend on biologically derived cells. ![]() |
||
c. They depend on biologically derived organisms. ![]() |
||
d. They depend on biologically inspired equations. ![]() |
a. Organic machines ![]() |
||
b. Cell machines ![]() |
||
c. Biological machines ![]() |
||
d. Molecular machines ![]() |
a. Organism assembly ![]() |
||
b. Cell assembly ![]() |
||
c. Molecular self-assembly ![]() |
||
d. Artificial construction ![]() |
a. Molecular recognition ![]() |
||
b. Cell recognition ![]() |
||
c. DNA recognition ![]() |
||
d. Organism recognition ![]() |
a. Gibbs's molecular architecture ![]() |
||
b. Turing's molecular architecture ![]() |
||
c. Markov's molecular architecture ![]() |
||
d. Mechanically-interlocked molecular architecture ![]() |
a. Markov's imprinting ![]() |
||
b. Molecular imprinting ![]() |
||
c. Cell imprinting ![]() |
||
d. Organism imprinting ![]() |
a. Supramolecular chemistry ![]() |
||
b. Natural chemistry ![]() |
||
c. Nano chemistry ![]() |
||
d. DNA ![]() |
a. Synthesis and separation ![]() |
||
b. Merging and extraction ![]() |
||
c. Amplification and cutting ![]() |
||
d. All of the above ![]() |
a. They depend on designed cells that conduct electricity. ![]() |
||
b. They depend on designed biomolecules that conduct electricity. ![]() |
||
c. They depend on designed organisms that conduct electricity. ![]() |
||
d. They depend on designed artificial cells that conduct electricity. ![]() |
a. City search problem ![]() |
||
b. Turing's maximal efficiency problem ![]() |
||
c. Markov's minimal search problem ![]() |
||
d. Adleman's Hamiltonian path problem ![]() |
a. Given a set of n cities connected by one-way and two-way roads, starting at the first city and ending at the last city, does a path through this network exist? ![]() |
||
b. Given a set of n cities connected by one-way and two-way roads, does a path through this network, starting at the first city and ending at the last city such that each city is visited once and only once, exist? ![]() |
||
c. Given a set of n cities connected by one-way and two-way roads, starting at the first city and ending at the last city such that each city is visited at least once, does a path through this network exist? ![]() |
||
d. None of the above ![]() |
a. James Clark ![]() |
||
b. Tom Knight ![]() |
||
c. Alan Turing ![]() |
||
d. Vladimir Nikiforov ![]() |
a. Because they build upon each other inexpensively ![]() |
||
b. Because they reorganize their structure inexpensively ![]() |
||
c. Because they self-replicate and self-assemble inexpensively ![]() |
||
d. Because they reproduce inexpensively ![]() |
a. It is deoxyribonucleic acid that encodes the genetic information of cellular organisms. ![]() |
||
b. It is an ordered sequence of acid molecules. ![]() |
||
c. It is the paradigm by which one computes using proteins. ![]() |
||
d. None of the above ![]() |
a. Differences between fitness are minimized through the genetic algorithm ![]() |
||
b. Population converges towards super-subject genome ![]() |
||
c. Reduced diversity of the genetic pool ![]() |
||
d. All of the above ![]() |
a. They work on a population of points, not a unique one. ![]() |
||
b. They use the values of the function to optimize, not their derived function or other auxiliary knowledge. ![]() |
||
c. They use probabilistic transition function not determinist ones. ![]() |
||
d. All of the above ![]() |
a. A colony ![]() |
||
b. An aggregate ![]() |
||
c. A population ![]() |
||
d. A group ![]() |
a. Markov chain procedure ![]() |
||
b. Special procedure ![]() |
||
c. Error minimizing procedure ![]() |
||
d. Phase transition ![]() |
a. Gene unit ![]() |
||
b. A basic unit ![]() |
||
c. A cell ![]() |
||
d. A chromosome ![]() |
a. Integrity back-propagation ![]() |
||
b. Hash back-propagation ![]() |
||
c. Error forward-propagation ![]() |
||
d. Error back-propagation ![]() |
a. Patterns are functions in d-dimensional space, and classes are their sub-functions. ![]() |
||
b. Patterns are points in 2-dimensional space, and classes are sub-spaces in 3-dimensional space. ![]() |
||
c. Patterns are points in d-dimensional space, and classes are sub-spaces. ![]() |
||
d. None of the above ![]() |
a. Sub-string search algorithms ![]() |
||
b. Genetic algorithms ![]() |
||
c. DNA algorithms ![]() |
||
d. Biological algorithms ![]() |
a. Exponential method ![]() |
||
b. Windowing method ![]() |
||
c. Linear transformation method ![]() |
||
d. Linear normalization method ![]() |
a. Exponential method ![]() |
||
b. Windowing method ![]() |
||
c. Linear transformation method ![]() |
||
d. Linear normalization method ![]() |
a. Markov method ![]() |
||
b. Knight method ![]() |
||
c. Turing method ![]() |
||
d. Holland method ![]() |
a. Exponential method ![]() |
||
b. Linear normalization method ![]() |
||
c. Linear transformation method ![]() |
||
d. Windowing method ![]() |
a. Exponential method ![]() |
||
b. Windowing method ![]() |
||
c. Linear transformation method ![]() |
||
d. Linear normalization method ![]() |
a. Markov mechanism ![]() |
||
b. Turing mechanism ![]() |
||
c. Darwinian evolution ![]() |
||
d. Holland mechanism ![]() |
a. It deals with merging populations. ![]() |
||
b. It deals with finding the probabilistic transition function. ![]() |
||
c. It deals with associating a given input pattern with one of the distinct classes. ![]() |
||
d. All of the above ![]() |
a. Encoding of the problem in a binary string ![]() |
||
b. Random generation of a population ![]() |
||
c. Reckoning of a fitness value for each subject ![]() |
||
d. Genomes stabilization ![]() |
a. A scientist who began work on a physical process whose law of motion implements a rule that defines each output qubit in terms of the input quibits ![]() |
||
b. A scientist who began his work on string algorithms at the beginning of the 60s and who first achieved the publication of String Searches in 1975 ![]() |
||
c. A scientist who began his work on genetic algorithms at the beginning of the 60s and who first achieved the publication of Adaptation in Natural and Artificial System in 1975 ![]() |
||
d. A scientist who worked on quantum computers and quantum physics ![]() |
a. It is a physical process whose law of motion implements a rule that defines each output qubit in terms of the input quibits. ![]() |
||
b. It is a system of sites having a finite set of possible values, which are updated in discrete time steps according to a deterministic rule. ![]() |
||
c. It is a set consisting of a finite-state control, an input tape, a read-only input head, an output tape, and a write-only output head. ![]() |
||
d. It is the mapping of objects into strings in accordance with some rules. ![]() |
a. Class 2 ![]() |
||
b. Class 1 ![]() |
||
c. Class 3 ![]() |
||
d. Class 4 ![]() |
a. Class 1, 2 and 3 ![]() |
||
b. Class 1, 2 and 4 ![]() |
||
c. Class 1, 3 and 4 ![]() |
||
d. Class 2, 3 and 4 ![]() |
a. 9 ![]() |
||
b. 8 ![]() |
||
c. 10 ![]() |
||
d. 11 ![]() |
a. 6 ![]() |
||
b. 5 ![]() |
||
c. 4 ![]() |
||
d. 3 ![]() |
a. Classes that tend to a spatially homogeneous state ![]() |
||
b. Classes that yield a sequence of simple stable or periodic structures ![]() |
||
c. Classes that exhibit chaotic aperiodic behavior ![]() |
||
d. All of the above ![]() |
a. Fixed (or Dirichlet), if the value of the boundary cells is a prescribed constant ![]() |
||
b. Zero-flux (or Neumann), if the value of the boundary cells is the same as the edge cells ![]() |
||
c. Periodic (or toroidal), if the value of the boundary cells is the same as the edge cells on the opposite side ![]() |
||
d. All of the above ![]() |
a. The final state ![]() |
||
b. The mix ![]() |
||
c. The diversification ![]() |
||
d. The entropy ![]() |
a. It is a set consisting of a finite-state control, an input tape, a read-only input head, an output tape, and a write-only output head. ![]() |
||
b. It is a type of the Cellular Neural Network, based on the flows and solutions of differential equations. ![]() |
||
c. A finite, nonempty ordered set with elements that are symbols or characters. ![]() |
||
d. None of the above ![]() |
a. It is a set of dynamical systems or coupled networks with only local connections. ![]() |
||
b. It is a set consisting of a finite-state control, an input tape, a read-only input head, an output tape, and a write-only output head. ![]() |
||
c. It is a physical system in which law of motion implements a rule that defines each output qubit in terms of the input quibits. ![]() |
||
d. It is a minimal physical system. ![]() |
a. The class where pattern disappears with time ![]() |
||
b. The class where pattern evolves to a fixed finite size ![]() |
||
c. The class where pattern behaves chaotically ![]() |
||
d. The class where pattern grows and contracts with time ![]() |
a. The class with ever-decreasing changes in a region of finite size ![]() |
||
b. The class with no change in final state ![]() |
||
c. The class with changes only in a region of finite size ![]() |
||
d. The class with changes over a region of ever-increasing size ![]() |
a. Unrestricted languages with indefinitely large memory ![]() |
||
b. Context-sensitive languages: memory proportional to input word length ![]() |
||
c. Irregular languages: limited memory ![]() |
||
d. Regular languages: no memory ![]() |
a. Restricted languages ![]() |
||
b. Unrestricted languages ![]() |
||
c. Irregular languages ![]() |
||
d. Regular languages ![]() |
a. Linear equations ![]() |
||
b. Linear differential equations ![]() |
||
c. Nonlinear differential equations ![]() |
||
d. Quadratic differential equations ![]() |
a. Irregular language ![]() |
||
b. Turing language ![]() |
||
c. Informal language ![]() |
||
d. Formal language ![]() |
a. Zeroth law of thermodynamics ![]() |
||
b. First law of thermodynamics ![]() |
||
c. Second law of thermodynamics ![]() |
||
d. Third law of thermodynamics ![]() |
a. Output of the computation ![]() |
||
b. Quantum indifferent ![]() |
||
c. Quantum sub-positioned ![]() |
||
d. Spin-1/8 particles ![]() |
a. Do not affect ![]() |
||
b. Affect ![]() |
||
c. Intermingle with ![]() |
||
d. Depend on ![]() |
a. Random ![]() |
||
b. Probabilistic ![]() |
||
c. Self-contained ![]() |
||
d. Pre-determined ![]() |
a. Arbitrary computation basis ![]() |
||
b. Differential ![]() |
||
c. Indifferent ![]() |
||
d. Solid ![]() |
a. It is executed by evolution of a finite, nonempty ordered set with elements that are symbols or characters. ![]() |
||
b. It is executed by unitary evolution of an input that is given by the state of the system. ![]() |
||
c. It is executed by binary evolution of an input that is given by the state of the system. ![]() |
||
d. None of the above ![]() |
a. Quantum computer ![]() |
||
b. Sophisticated computer ![]() |
||
c. Advanced computer ![]() |
||
d. All of the above ![]() |
a. In problems whose structure uses the red-black trees ![]() |
||
b. In problems whose structure avoids the need to try exponentially many solutions ![]() |
||
c. In problems whose structure avoids the need to try linearly many solutions ![]() |
||
d. None of the above ![]() |
a. Quantum indifference ![]() |
||
b. Unitary evolution ![]() |
||
c. Secondary evolution ![]() |
||
d. Ternary evolution ![]() |
a. PAMOUT and ERASE ![]() |
||
b. FANOUT and MOVE ![]() |
||
c. FANOUT and ERASE ![]() |
||
d. FANIN and ERASE ![]() |
a. Within the next two years ![]() |
||
b. Within the next year ![]() |
||
c. Within the next two decades ![]() |
||
d. Within the next decades ![]() |
a. Gives access to protected data ![]() |
||
b. Shifts 8-bit numbers ![]() |
||
c. Stores its input into temporary location ![]() |
||
d. Deletes its input ![]() |
a. Erases data copies by uncomputing ![]() |
||
b. Backs up data ![]() |
||
c. Multiplies data by uncomputing ![]() |
||
d. None of the above ![]() |
a. Spin-1/4 particles ![]() |
||
b. Quantum sub-position ![]() |
||
c. Quantum superposition ![]() |
||
d. Quantum indifference ![]() |
a. It is a set consisting of a finite-state control, an input tape, a read-only input head, an output tape, and a write-only output head. ![]() |
||
b. It is a physical process whose law of motion implements a rule that defines each output qubit in terms of the input quibits. ![]() |
||
c. A finite, nonempty ordered set with elements that are symbols or characters. ![]() |
||
d. None of the above. ![]() |
a. Static constitution ![]() |
||
b. Dynamic constitution ![]() |
||
c. State ![]() |
||
d. All of the above ![]() |
a. Hardware management ![]() |
||
b. Expensive parts ![]() |
||
c. Buggy OS ![]() |
||
d. Dissipated heat ![]() |
a. A minimal physical system ![]() |
||
b. Part of the memory of a classical computer ![]() |
||
c. A model in which a classical computer emulates a quantum computer ![]() |
||
d. None of the above ![]() |
a. It is a computation on a minimal physical system. ![]() |
||
b. It is computation through a human brain. ![]() |
||
c. It is computation described by Boolean expressions. ![]() |
||
d. None of the above ![]() |
a. It is the average outcome of minimal physical system. ![]() |
||
b. It is the average outcome of measurement repeated many times. ![]() |
||
c. It is a value of output qubit in terms of the input quibits. ![]() |
||
d. None of the above ![]() |
a. 1 ![]() |
||
b. 163 ![]() |
||
c. 37 ![]() |
||
d. 57 ![]() |
a. It is heat. ![]() |
||
b. It is non-sensitive to perturbations. ![]() |
||
c. It is hypersensitive to perturbations. ![]() |
||
d. All of the above ![]() |
a. Measurement in which the observable being measured is sharp. ![]() |
||
b. Measurement in which outcome is the value of the observable. ![]() |
||
c. Measurement which leaves observed value unchanged. ![]() |
||
d. All of the above ![]() |
a. Spin-1/16 particles ![]() |
||
b. Spin-1/8 particles ![]() |
||
c. Spin-1/2 particles ![]() |
||
d. Spin-1/4 particles ![]() |
a. 6 ![]() |
||
b. 7 ![]() |
||
c. 9 ![]() |
||
d. 8 ![]() |