Authors
Yair Lapin
Hebrew University of Jerusalem
Abstract
A new approach to the halting problem of the Turing machine using different interpretations of the Shannon measure of the information on the computational process represented as a distribution of events and defining a new concept of arithmetic logical irreversibility and memory erasure that generate uncertainty and computational improbability due to loss of information during computation. Different computational steps (input) can give the same result (next step, output) introducing thus information entropy in the computing process and uncertainty about the original step (cause). This means that the same output may be produced by different inputs. Global indeterminism of computation as distribution but determinism of the computation as current process because the outputs are the same but the information not. The program or Turing machine as macro description of the computational states as micro description that they may be several and different but give the same result when they work .
Keywords Turing Halt problem  Gödel Theorem  Information Theory  Algorithmic information theory  Decision problem
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