| 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 |