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          <dc:title>The Synergy of Finite State Machines</dc:title>
          <dc:creator>Afek, Yehuda</dc:creator>
          <dc:creator>Emek, Yuval</dc:creator>
          <dc:creator>Kolikant, Noa</dc:creator>
          <dc:subject>finite state machines</dc:subject>
          <dc:subject>stone-age model</dc:subject>
          <dc:subject>beeping communication scheme</dc:subject>
          <dc:subject>distributed network computability</dc:subject>
          <dc:description>What can be computed by a network of n randomized finite state machines communicating under the stone age model (Emek &amp; Wattenhofer, PODC 2013)? The inherent linear upper bound on the total space of the network implies that its global computational power is not larger than that of a randomized linear space Turing machine, but is this tight? We answer this question affirmatively for bounded degree networks by introducing a stone age algorithm (operating under the most restrictive form of the model) that given a designated I/O node, constructs a tour in the network that enables the simulation of the Turing machine's tape. To construct the tour with high probability, we first show how to 2-hop color the network concurrently with building a spanning tree.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Yehuda Afek and Yuval Emek and Noa Kolikant</dc:contributor>
          <dc:date>2019</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 125, 22nd International Conference on Principles of Distributed Systems (OPODIS 2018)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.OPODIS.2018.22</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-100825</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.OPODIS.2018.22</dc:identifier>
          <dc:language>eng</dc:language>
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