Defining and composing big state machines
Victor Yodaiken
TL;DR
This paper introduces a sequence function-based alternative representation for state machines, aiming to improve their definition and composition methods.
Contribution
It presents a novel sequence function approach for defining and composing big state machines, enhancing flexibility and modularity.
Findings
Demonstrates improved composability of state machines
Provides a formal framework for sequence-based representation
Shows potential for simplifying complex state machine design
Abstract
A sequence function alternative representation of state machines.
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Taxonomy
TopicsComputability, Logic, AI Algorithms