Cellular ANTomata: A Tool for Early PDC Education

  • Arnold L. Rosenberg
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10659)


The thesis of this essay is that the Cellular ANTomaton (CAnt) computational model—obtained by deploying a team of mobile finite-state machines (the model’s “Ants”) upon a cellular automaton (CA)—can be a highly effective platform for introducing early undergraduate students to a broad range of concepts relating to parallel and distributed computing (PDC). CAnts permit many sophisticated PDC concepts to be taught within a unified, perspicuous model and then experimented with using the many easily accessed systems for simulating CAs and CAnts. Space restrictions limit us to supporting the thesis via only three important PDC concepts: synchronization, (algorithmic) scalability, and leader election (symmetry breaking). Having a single versatile pedagogical platform facilitates the goal of endowing all undergraduate students with a level of computational literacy adequate for success in an era characterized increasingly by ubiquitous parallel and/or distributed computing devices.


Cellular automata and ANTomata Teaching PDC to early undergrads 


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Computer and Information ScienceNortheastern UniversityBostonUSA

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