|
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 |