Tangle Machines

Daniel Moskovich, Avishy Y. Carmi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Tangle machines are topologically inspired diagrammatic models. The novel feature of tangle machines is their natural notion of equivalence. Equivalent tangle machines may differ locally, but globally they share the same information content. The goal of tangle machine equivalence is to provide a context-independent method to select, from among many ways to perform a task, the ‘best’ way to perform the task. The concept of equivalent tangle machines is illustrated through an example in which tangle machines represent networks for distributed information processing.

Original languageEnglish
Title of host publicationUnconventional Computation and Natural Computation
Subtitle of host publication14th International Conference, UCNC 2015
EditorsCristian S. Calude, Michael J. Dinneen
PublisherSpringer Verlag
Pages277-289
Number of pages11
ISBN (Print)9783319218182
DOIs
StatePublished - 1 Jan 2015
Event14th International Conference on Unconventional Computation and Natural Computation, UCNC 2015 - Auckland, New Zealand
Duration: 30 Aug 20153 Sep 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9252
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th International Conference on Unconventional Computation and Natural Computation, UCNC 2015
Country/TerritoryNew Zealand
CityAuckland
Period30/08/153/09/15

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)

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