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Game-enriched categories

Talkat GALOP 2024 · on Sunday, 2024-01-14
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slides:none on file

Argues that game models should be presented as game-enriched categories (objects = arenas, homs = games whose strategies are morphisms) so different strategy notions (deterministic, nondeterministic, probabilistic, equivariant) arise by change-of-base embeddings rather than rebuilding M×N categories. Shows gbang (forests + deterministic strategies) and its embeddings, and replaces ordinary composition/associativity proofs by composition as single strategy morphisms and equality-of-strategies associativity for each quadruple, cutting repeated construction and proofs.

AI-written summary · about

  1. 0:00Game-enriched categories
  2. 1:03Traditional game models problems
  3. 6:04Introducing gbang category
  4. 9:16Game-enriched categories explained
  5. 12:51Benefits over traditional models
  6. 15:41Key takeaways and advice
  7. 16:44Q&A
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