A Symbolic Virtual World for Training Agents in Cross-World Exploration
Sawyerr, William (2026) A Symbolic Virtual World for Training Agents in Cross-World Exploration. In: 4th Workshop on the Modelling and Implementation of Digital Twins for Complex Systems, 8-9 June 2026, Verona. (In Press)
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Cross-world exploration (decision-making across multiple worlds under entry-gated evidence) is hard because decisive evidence about a candidate world requires costly, uncertain entry. We formalize this as a meta-decision problem and present a Symbolic Virtual World (SVW), in which regime parameters are explicit, queryable and manipulable. The SVW is instantiated with Earth-derived structure and constrained evidence access via an Earth-proxy layer. Initial runs under controlled regime changes confirm stable knowledge-growth and exploration-coverage signals with measurable sensitivity to regime variation.
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