An automaton is an abstract concept of machine, modelled as a collection of states and transitions between states, together with an assignment of some external behavior (typically input and/or output) to these transitions. A quintessential example of an automaton is a vending machine, which can be in any number of different states (e.g., “READY”, “INSERT 2 TOKENS”, “OUT OF SERVICE”, etc.), and will transition between these states in response to user input (e.g., from “READY” to “INSERT 2 TOKENS” after the user makes a selection, and from “INSERT 2 TOKENS” to “INSERT 1 TOKEN” after the user inserts a token).
Many different notions of automaton exist in the literature. For now this article only considers one fairly basic notion taken from Joy of Cats, although it is by no means the simplest nor the most general.
A deterministic, sequential, Moore automaton is formally definable (as in Joy of Cats) as a sextuple ($Q$, $\Sigma$, $Y$, $\delta$, $q_{0}$, $y$), where $Q$ is the set of states, $\Sigma$ and $Y$ are the sets of input symbols and output symbols, respectively, $\delta$: $\Sigma$ $\times$ $Q$ $\to$ $Q$ is the transition map, $q_{0}$ $\epsilon$ $Q$ is the initial state, and $y$: $Q$ $\to$ $Y$ is the output map. Morphisms from an automaton ($Q$, $\Sigma$, $Y$, $\delta$, $q_{0}$, $y$) to an automaton ($Q$′, $\Sigma$′, $Y$′, $\delta$′, $q_{0}$′, $y$′) are triples ($f_{Q}$, $f_{\Sigma}$, $f_{Y}$) of functions $f_{Q}: Q \to Q\prime$, $f_{\Sigma}: \Sigma \to \Sigma\prime$, and $f_{Y}: Y \to Y\prime$ satisfying the following conditions:
(i) preservation of transition: $\delta\prime$($f_{\Sigma}$($\sigma$), $f_{Q}$($q$)) = $f_{Q}$($\delta$($\sigma$, $q$)),
(ii) preservation of outputs: $f_{Y}$($y$($q$)) = $y$$\prime$($f_{Q}$($q$)),
(iii) preservation of initial state: $f_{Q}$($q_{0}$) = $q_{0}\prime$.
Note that in such an automaton, the outputs are determined by the current state alone (and do not depend directly on the input).
A morphism $f$ : ($Q$, $\delta$, $q_{0}$, $F$) $\to$ ($Q\prime$, $\delta\prime$, $q_{0}\prime$, $F\prime$) (called a simulation) is a function $f : Q \to Q\prime$ that preserves:
(i) the transitions, i.e., $\delta\prime$($\sigma$, $f$($q$)) = $f$($\delta$($\sigma$, $q$)),
(ii) the initial state, i.e., $f$($q_{0}$) = $q_{0}\prime$, and
(iii) the final states, i.e., $f[F] \subseteq F\prime$.
There is a category $Aut$ whose objects are deterministic sequential Moore automata and whose morphisms are simulations.
There are several variant forms of automaton. The above just gives a basic one. Others are treated in the entries:
There are tentative definitions of
higher dimensional automaton?
which take a more nPOV of automata theory.
Jiri Adamek, Horst Herrlich, George Strecker, Abstract and concrete categories: the joy of cats. free online
Mark V. Lawson, Finite automata, CRC Press, see also here for a shorter version in the form of Course Notes.
Liang-Ting Chen, Henning Urbat, A fibrational approach to automata theory, arxiv/1504.02692
An early discussion of automata via string diagrams in the Cartesian monoidal category of finite sets:
Last revised on April 28, 2021 at 02:25:33. See the history of this page for a list of all contributions to it.