Unconventional complexity classes in unconventional computing (extended abstract)
<|reference_start|>Unconventional complexity classes in unconventional computing (extended abstract): Many unconventional computing models, including some that appear to be quite different from traditional ones such as Turing machines, happen to characterise either the complexity class P or PSPACE when working in deterministic polynomial time (and in the maximally parallel way, where this applies). We discuss variants of cellular automata and membrane systems that escape this dichotomy and characterise intermediate complexity classes, usually defined in terms of Turing machines with oracles, as well as some possible reasons why this happens.<|reference_end|>
@article{porreca2024unconventional,
    title={Unconventional complexity classes in unconventional computing (extended
  abstract)},
    author={Antonio E. Porreca},
    journal={arXiv preprint arXiv:2405.16896},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.16896},
    primaryClass={cs.CC}
}