Computation

Source: Wikipedia, the free encyclopedia.

A computation is any type of

algorithms
.

Mechanical or electronic devices (or, historically, people) that perform computations are known as computers. The study of computation is the field of computability, itself a sub-field of computer science and mathematical logic.

Introduction

The notion that mathematical statements should be 'well-defined' had been argued by mathematicians since at least the

Emil Post's 1-definability.[5]

Today, any formal statement or calculation that exhibits this quality of well-definedness is termed computable, while the statement or calculation itself is referred to as a computation.

Turing's definition apportioned "well-definedness" to a very large class of mathematical statements, including all well-formed

algebraic statements, and all statements written in modern computer programming languages.[7]

Despite the widespread uptake of this definition, there are some mathematical concepts that have no well-defined characterisation under this definition. This includes

the halting problem and the busy beaver game. It remains an open question as to whether there exists a more powerful definition of 'well-defined' that is able to capture both computable and 'non-computable' statements.[note 1][8]

Some examples of mathematical statements that are computable include:

Some examples of mathematical statements that are not computable include:

  • Calculations or statements which are ill-defined, such that they cannot be unambiguously encoded into a Turing machine: ("Paul loves me twice as much as Joe").
  • Problem statements which do appear to be well-defined, but for which it can be proved that no Turing machine exists to solve them (such as
    the halting problem
    ).

The Physical process of computation

Computation can be seen as a purely physical process occurring inside a closed

and others.

Alternative accounts of computation

The mapping account

An alternative account of computation is found throughout the works of Hilary Putnam and others. Peter Godfrey-Smith has dubbed this the "simple mapping account."[9] Gualtiero Piccinini's summary of this account states that a physical system can be said to perform a specific computation when there is a mapping between the state of that system and the computation such that the "microphysical states [of the system] mirror the state transitions between the computational states."[10]

The semantic account

Philosophers such as Jerry Fodor[11] have suggested various accounts of computation with the restriction that semantic content be a necessary condition for computation (that is, what differentiates an arbitrary physical system from a computing system is that the operands of the computation represent something). This notion attempts to prevent the logical abstraction of the mapping account of pancomputationalism, the idea that everything can be said to be computing everything.

The mechanistic account

quantum computer. A rule, in this sense, provides a mapping among inputs, outputs, and internal states of the physical computing system.[12]

Mathematical models

In the theory of computation, a diversity of mathematical models of computation has been developed. Typical mathematical models of computers are the following:

Giunti calls the models studied by computation theory computational systems, and he argues that all of them are mathematical dynamical systems with discrete time and discrete state space.[13]: ch.1  He maintains that a computational system is a complex object which consists of three parts. First, a mathematical dynamical system with discrete time and discrete state space; second, a computational setup , which is made up of a theoretical part , and a real part ; third, an interpretation , which links the dynamical system with the setup .[14]: pp.179–80 

See also

Notes

  1. ^ The study of non-computable statements is the field of hypercomputation.

References

  1. ^ Computation from the Free Merriam-Webster Dictionary
  2. ^ "Computation: Definition and Synonyms from Answers.com". Answers.com. Archived from the original on 22 February 2009. Retrieved 26 April 2017.
  3. .
  4. .
  5. ^ .
  6. .
  7. ^ .
  8. .
  9. .
  10. ^ Fodor, J. A. (1986), "The Mind-Body Problem", Scientific American, 244 (January 1986)
  11. .
  12. .