# ons-hs Experimental implemtation of the ONS library in Haskell. It provides the basic notion of nominal sets and maps, and their manipulations. It is restricted to nominal sets which are built on rational numbers (theory: the dense linear order, symmetry: all monotone bijections). Nominal sets are structured possibly-infinite sets. They have symmetries which make them finitely representable. It can be thought of as follows: given some values from the domain (in this case: rational numbers), there are infinitely many ways in which we can pick them. However, up to equivalence, there are only finitely many options which are actually different. This library uses an enumerative approach to deal with those options. In a way, the library implements a disjunctive normal form. Nominal sets can be used, for example, to define infinite state systems (nominal automata). Consequently, one can then do reachability analysis, minimisation and other automata-theoretic constructions. This Haskell library uses an interface similar to the the C++ library [ONS](https://github.com/davidv1992/ONS) by David Venhoek. Additionally, `ons-hs` provides a generic way to do nominal computations on custom data types. It is purely functional. ## Example: Logic Solver Since nominal sets allow us to compute with infinite sets, we can implement a first order logic solver by trying all values in the domain. In other words, we simply implement Tarski's truth definition: ```Haskell data Formula = Lit Literal | T | Exists Formula | Or ... | Not ... | ... isTrue :: Formula -> Bool isTrue f = P.not . null $ trueFor (singleOrbit []) f where -- Just check as regular Haskell values trueFor ctx (Lit (Equals i j)) = filter (\w -> w !! i == w !! j) ctx trueFor ctx (Lit (LessThan i j)) = filter (\w -> w !! i < w !! j) ctx -- T is true on the whole set trueFor ctx T = ctx -- Not is simply the complement trueFor ctx (Not x) = ctx `minus` trueFor ctx x -- Or is the union trueFor ctx (Or x y) = trueFor ctx x `union` trueFor ctx y -- Exists introduces a new value and then recursively checks the truth value trueFor ctx (Exists p) = drop (trueFor (extend ctx) p) extend context = productWith (:) rationals context drop context = map tail context ``` Note that `and`, `forAll`, and `implies` can all be expressed with the above connectives. Here we use basic Haskell operations, however, the variable `ctx` is of type `EquivariantSet [Atom]`. This context is an infinite set of sequences of rational numbers. The `Exists` quantifier introduces those rational numbers. (We are using De Bruijn indices.) Please have a look in `app/FOSolver.hs` for more details. Two other examples are in the `app` directory, both related to nominal automata theory. The first is `Minimise.hs` which minimises deterministic automata. The second is `LStar.hs` which implements the L* algorithm for nominal automata. ## The `Nominal` type class All of the magic is provided by the type class `Nominal`. You will rarely need to implement this yourself, as generic instances are provided. There are two different general instances, and you can choose which one you need with `deriving via`. For example, for the most sensible instance, use this: ```Haskell data StateSpace = Store [Atom] | Check [Atom] | Accept | Reject deriving (Eq, Ord, Generic) deriving Nominal via Generically StateSpace ``` If, however, you want a trivial group action on your data structure. (This is used for the data structure for equivariant sets.) Then you can use this: ```Haskell newtype EquivariantSet a = ... deriving Nominal via Trivially (EquivariantSet a) ``` The type class `Nominal` provides a type family and operations on them: ```Haskell class Nominal a where type Orbit a :: Type toOrbit :: a -> Orbit a getElement :: Orbit a -> Support -> a support :: a -> Support index :: Proxy a -> Orbit a -> Int ``` ## Documentation There is none, except this README and the comments in the code. It is on my TODO list to write proper Haddock documentation. ## Laziness Instead of `EquivariantSet a` it is often useful to use `OrbitList a`, since the latter is a lazy data structure. Especially when searching for certain values, that can be much faster. ## Changelog version 0.2.3.0 (2024-11-05): * Updates the testing and benchmarking framework. * Replaced benchmarking dependencies, making the build process much faster. * Added an example teacher, and run script. version 0.2.0.0 (2024-11-01): * Resolves compiler warnings. * Moved from own `Generic` to `GHC.Generically` (needs base 4.17+). If you want to build this with an older base version, add the generically package. * Simplifies `ons-hs.cabal` file. * Tested with GHC 9.4.8 and 9.10.1. * (Interestingly, GHC 9.4.8 produces faster code.) version 0.1.0.0 (2019-02-01): * Initial version (used in publication). * Developed with GHC 8.X for some X. ## Copyright notice and license Copyright 2017-2024 Joshua Moerman, Radboud Universiteit, Open Universiteit, licensed under the EUPL (European Union Public License). You may find the license in the `LICENSE` file. If you want to use this library in a commercial product, or if the license is not suitable for you, then please get in touch so that we can change the license. ## How to cite ``` @article{VenhoekMR22, author = {David Venhoek and Joshua Moerman and Jurriaan Rot}, title = {Fast computations on ordered nominal sets}, journal = {Theor. Comput. Sci.}, volume = {935}, pages = {82--104}, year = {2022}, url = {https://doi.org/10.1016/j.tcs.2022.09.002}, doi = {10.1016/J.TCS.2022.09.002} } ```