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Foundations of Digital Arch{\ae}oludology

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arxiv 1905.13516 v1 pith:DVBR2OWM submitted 2019-05-31 cs.AI

classification cs.AI
keywords digitalcomputationaldevelopmentfieldfoundationsgameshistoryhuman
verification ladder T0 review T1 audit T2 compute T3 formal
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Digital Archaeoludology (DAL) is a new field of study involving the analysis and reconstruction of ancient games from incomplete descriptions and archaeological evidence using modern computational techniques. The aim is to provide digital tools and methods to help game historians and other researchers better understand traditional games, their development throughout recorded human history, and their relationship to the development of human culture and mathematical knowledge. This work is being explored in the ERC-funded Digital Ludeme Project. The aim of this inaugural international research meeting on DAL is to gather together leading experts in relevant disciplines - computer science, artificial intelligence, machine learning, computational phylogenetics, mathematics, history, archaeology, anthropology, etc. - to discuss the key themes and establish the foundations for this new field of research, so that it may continue beyond the lifetime of its initiating project.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. CogniPlay: a work-in-progress Human-like model for General Game Playing

    cs.AI 2025-07 unverdicted novelty 4.0 of 10

    A position paper proposing CogniPlay, a dual-process architecture for human-like general game playing, with no implementation or evaluation yet.

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