Notes on a model for fuzzy computing
Vittorio Cafagna, Gianluca Caterina

TL;DR
This paper proposes a formal framework for fuzzy computing that aligns with the structures of boolean and quantum computing, emphasizing their underlying similarities.
Contribution
It introduces a unified formal setting for fuzzy computing inspired by established computation theories, highlighting common patterns among them.
Findings
Identifies formal similarities between fuzzy, boolean, and quantum computing
Proposes a common pattern underlying these theories
Contributes to the theoretical foundation of fuzzy computing
Abstract
In these notes we propose a setting for fuzzy computing in a framework similar to that of well-established theories of computation: boolean, and quantum computing. Our efforts have been directed towards stressing the formal similarities: there is a common pattern underlying these three theories. We tried to conform our approach, as much as possible, to this pattern. This work was part of a project jointly with Professor Vittorio Cafagna. Professor Cafagna passed away unexpectedly in 2007. His intellectual breadth and inspiring passion for mathematics is still very well alive.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Computability, Logic, AI Algorithms · DNA and Biological Computing
